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Yim A, Alberto M, Sharma V, Green A, Mclean A, du Plessis J, Wong LM, Wood B, Ischia J, Raman J, Bolton D. Near-infrared spectroscopy as a novel method of ex vivo bladder cancer tissue characterisation. BJU Int 2024; 133 Suppl 4:44-52. [PMID: 38238965 DOI: 10.1111/bju.16226] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/17/2024]
Abstract
OBJECTIVE To evaluate near-infrared (NIR) spectroscopy in differentiating between benign and malignant bladder pathologies ex vivo immediately after resection, including the grade and stage of malignancy. PATIENTS AND METHODS A total of 355 spectra were measured on 71 bladder specimens from patients undergoing transurethral resection of bladder tumour (TURBT) between April and August 2022. Scan time was 5 s, undertaken using a portable NIR spectrometer within 10 min from excision. Specimens were then sent for routine histopathological correlation. Machine learning models were applied to the spectral dataset to construct diagnostic algorithms; these were then tested for their ability to predict the histological diagnosis of each sample using its NIR spectrum. RESULTS A two-group algorithm comparing low- vs high-grade urothelial cancer demonstrated 97% sensitivity, 99% specificity, and the area under the receiver operating characteristic curve (AUC) was 0.997. A three-group algorithm predicting stages Ta vs T1 vs T2 achieved 97% sensitivity, 92% specificity, and the AUC was 0.996. CONCLUSIONS This first study evaluating the diagnostic potential of NIR spectroscopy in urothelial cancer shows that it can be accurately used to assess tissue in an ex vivo setting immediately after TURBT. This offers point-of-care assessment of bladder pathology, with potential to influence the extent of resection, reducing both the need for re-resection where invasive disease may be suspected, and also the potential for complications where extent of diagnostic resection can be limited. Further studies utilising fibre-optic probes offer the potential for in vivo assessment.
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Affiliation(s)
- Arthur Yim
- Department of Urology, Austin Health, Heidelberg, Victoria, Australia
- Young Urology Researchers Organisation (YURO), Melbourne, Victoria, Australia
| | - Matthew Alberto
- Department of Urology, Austin Health, Heidelberg, Victoria, Australia
| | - Varun Sharma
- Department of Cardiac Surgery, Austin Health, Heidelberg, Victoria, Australia
- Department of Surgery, University of Melbourne, Melbourne, Victoria, Australia
- Spectromix Lab, Melbourne, Victoria, Australia
| | - Alexander Green
- Centre for Biospectroscopy, Monash University, Clayton, Victoria, Australia
| | - Aaron Mclean
- Centre for Biospectroscopy, Monash University, Clayton, Victoria, Australia
| | - Justin du Plessis
- Department of Anatomical Pathology, Austin Health, Heidelberg, Victoria, Australia
| | - Lih-Ming Wong
- Department of Urology, Austin Health, Heidelberg, Victoria, Australia
| | - Bayden Wood
- Spectromix Lab, Melbourne, Victoria, Australia
- Centre for Biospectroscopy, Monash University, Clayton, Victoria, Australia
| | - Joseph Ischia
- Department of Urology, Austin Health, Heidelberg, Victoria, Australia
| | - Jaishankar Raman
- Department of Cardiac Surgery, Austin Health, Heidelberg, Victoria, Australia
- Department of Surgery, University of Melbourne, Melbourne, Victoria, Australia
- Spectromix Lab, Melbourne, Victoria, Australia
| | - Damien Bolton
- Department of Urology, Austin Health, Heidelberg, Victoria, Australia
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Zhang S, Qi Y, Tan SPH, Bi R, Olivo M. Molecular Fingerprint Detection Using Raman and Infrared Spectroscopy Technologies for Cancer Detection: A Progress Review. BIOSENSORS 2023; 13:bios13050557. [PMID: 37232918 DOI: 10.3390/bios13050557] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/16/2023] [Revised: 05/12/2023] [Accepted: 05/16/2023] [Indexed: 05/27/2023]
Abstract
Molecular vibrations play a crucial role in physical chemistry and biochemistry, and Raman and infrared spectroscopy are the two most used techniques for vibrational spectroscopy. These techniques provide unique fingerprints of the molecules in a sample, which can be used to identify the chemical bonds, functional groups, and structures of the molecules. In this review article, recent research and development activities for molecular fingerprint detection using Raman and infrared spectroscopy are discussed, with a focus on identifying specific biomolecules and studying the chemical composition of biological samples for cancer diagnosis applications. The working principle and instrumentation of each technique are also discussed for a better understanding of the analytical versatility of vibrational spectroscopy. Raman spectroscopy is an invaluable tool for studying molecules and their interactions, and its use is likely to continue to grow in the future. Research has demonstrated that Raman spectroscopy is capable of accurately diagnosing various types of cancer, making it a valuable alternative to traditional diagnostic methods such as endoscopy. Infrared spectroscopy can provide complementary information to Raman spectroscopy and detect a wide range of biomolecules at low concentrations, even in complex biological samples. The article concludes with a comparison of the techniques and insights into future directions.
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Affiliation(s)
- Shuyan Zhang
- Institute of Materials Research and Engineering (IMRE), Agency for Science, Technology and Research (A*STAR), 31 Biopolis Way, Nanos #07-01, Singapore 138634, Singapore
| | - Yi Qi
- Institute of Materials Research and Engineering (IMRE), Agency for Science, Technology and Research (A*STAR), 31 Biopolis Way, Nanos #07-01, Singapore 138634, Singapore
| | - Sonia Peng Hwee Tan
- Department of Biomedical Engineering, National University of Singapore (NUS), 4 Engineering Drive 3 Block 4, #04-08, Singapore 117583, Singapore
| | - Renzhe Bi
- Institute of Materials Research and Engineering (IMRE), Agency for Science, Technology and Research (A*STAR), 31 Biopolis Way, Nanos #07-01, Singapore 138634, Singapore
| | - Malini Olivo
- Institute of Materials Research and Engineering (IMRE), Agency for Science, Technology and Research (A*STAR), 31 Biopolis Way, Nanos #07-01, Singapore 138634, Singapore
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3
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Lucas IT, Bazin D, Daudon M. Raman opportunities in the field of pathological calcifications. CR CHIM 2022. [DOI: 10.5802/crchim.110] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/02/2023]
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郝 哲, 岳 蜀, 周 利. [Application of Raman-based technologies in the detection of urological tumors]. BEIJING DA XUE XUE BAO. YI XUE BAN = JOURNAL OF PEKING UNIVERSITY. HEALTH SCIENCES 2022; 54:779-784. [PMID: 35950408 PMCID: PMC9385527 DOI: 10.19723/j.issn.1671-167x.2022.04.033] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Received: 04/06/2022] [Indexed: 06/15/2023]
Abstract
Urinary system tumors affect a huge number of individuals, and are frequently recurrent and progressing following surgery, necessitating lifelong surveillance. As a result, early and precise diagnosis of urinary system cancers is important for prevention and therapy. Histopathology is now the golden stan-dard for the diagnosis, but it is invasive, time-consuming, and inconvenient for initial diagnosis and re-gular follow-up assessment. Endoscopy can directly witness the tumor's structure, but intrusive detection is likely to cause harm to the patient's organs, and it is apt to create other hazards in frequently examined patients. Imaging is a valuable non-invasive and quick assessment tool; however, it can be difficult to define the type of lesions and has limited sensitivity for early tumor detection. The conventional approaches for detecting tumors have their own set of limitations. Thus, detection methods that combine non-invasive detection, label-free detection, high sensitivity and high specificity are urgently needed to aid clinical diagnosis. Optical diagnostics and imaging are increasingly being employed in healthcare settings in a variety of sectors. Raman scattering can assess changes in molecular signatures in cancer cells or tissues based on the interaction with vibrational modes of common molecular bonds. Due to the advantages of label-free, strong chemical selectivity, and high sensitivity, Raman scattering, especially coherent Raman scattering microscopy imaging with high spatial resolution, has been widely used in biomedical research. And quantity studies have shown that it has a good application in the detection and diagnosis of bladder can-cer, renal clear cell carcinoma, prostate cancer, and other cancers. In this paper, several nonlinear imaging techniques based on Raman scattering technology are briefly described, including Raman spectroscopy, coherent anti-Stokes Raman scattering, stimulated Raman scattering, and surface-enhanced Raman spectroscopy. And we will discuss the application of these techniques for detecting urologic malignancy. Future research directions are predicted using the advantages and limitations of the aforesaid methodologies in the research. For clinical practice, Raman scattering technology is intended to enable more accurate, rapid, and non-invasive in early diagnosis, intraoperative margins, and pathological grading basis for clinical practice.
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Affiliation(s)
- 哲 郝
- 北京航空航天大学生物与医学工程学院，北京市生物医学工程高精尖创新中心，生物力学与力生物学教育部重点实验室，医用光子学研究所，北京 100083School of Biological and Medical Engineering, Beihang University, Beijing Advanced Innovation Center for Biomedical Engineering, Key Laboratory of Biomechanics and Mechanobiology, Ministry of Education, Institute of Medical Photonics, Beijing 100083, China
| | - 蜀华 岳
- 北京航空航天大学生物与医学工程学院，北京市生物医学工程高精尖创新中心，生物力学与力生物学教育部重点实验室，医用光子学研究所，北京 100083School of Biological and Medical Engineering, Beihang University, Beijing Advanced Innovation Center for Biomedical Engineering, Key Laboratory of Biomechanics and Mechanobiology, Ministry of Education, Institute of Medical Photonics, Beijing 100083, China
| | - 利群 周
- 北京航空航天大学生物与医学工程学院，北京市生物医学工程高精尖创新中心，生物力学与力生物学教育部重点实验室，医用光子学研究所，北京 100083School of Biological and Medical Engineering, Beihang University, Beijing Advanced Innovation Center for Biomedical Engineering, Key Laboratory of Biomechanics and Mechanobiology, Ministry of Education, Institute of Medical Photonics, Beijing 100083, China
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5
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Taieb A, Berkovic G, Haifler M, Cheshnovsky O, Shaked NT. Classification of tissue biopsies by Raman spectroscopy guided by quantitative phase imaging and its application to bladder cancer. JOURNAL OF BIOPHOTONICS 2022; 15:e202200009. [PMID: 35488750 DOI: 10.1002/jbio.202200009] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/09/2022] [Revised: 03/25/2022] [Accepted: 04/11/2022] [Indexed: 06/14/2023]
Abstract
We present a multimodal label-free optical measurement approach for analyzing sliced tissue biopsies by a unique combination of quantitative phase imaging and localized Raman spectroscopy. First, label-free quantitative phase imaging of the entire unstained tissue slice is performed using automated scanning. Then, pixel-wise segmentation of the tissue layers is performed by a kernelled structural support vector machine based on Haralick texture features, which are extracted from the quantitative phase profile, and used to find the best locations for performing the label-free localized Raman measurements. We use this multimodal label-free measurement approach for segmenting the urothelium in benign and malignant bladder cancer tissues by quantitative phase imaging, followed by location-guided Raman spectroscopy measurements. We then use sparse multinomial logistic regression (SMLR) on the Raman spectroscopy measurements to classify the tissue types, demonstrating that the prior segmentation of the urothelium done by label-free quantitative phase imaging improves the Raman spectra classification accuracy from 85.7% to 94.7%.
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Affiliation(s)
- Almog Taieb
- Department of Biomedical Engineering, Faculty of Engineering, Tel Aviv University, Tel Aviv, Israel
| | - Garry Berkovic
- Department of Biomedical Engineering, Faculty of Engineering, Tel Aviv University, Tel Aviv, Israel
- Soreq Nuclear Research Center, Yavne, Israel
| | - Miki Haifler
- Department of Biomedical Engineering, Faculty of Engineering, Tel Aviv University, Tel Aviv, Israel
- Department of Urology, Chaim Sheba Medical Center, Tel Hashomer, Israel, Affiliated to Sackler School of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Ori Cheshnovsky
- School of Chemistry, Faculty of Exact Sciences, Tel Aviv University, Tel Aviv, Israel
| | - Natan T Shaked
- Department of Biomedical Engineering, Faculty of Engineering, Tel Aviv University, Tel Aviv, Israel
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6
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Stomp-Agenant M, van Dijk T, R Onur A, Grimbergen M, van Melick H, Jonges T, Bosch R, van Swol C. In vivo Raman spectroscopy for bladder cancer detection using a superficial Raman probe compared to a nonsuperficial Raman probe. JOURNAL OF BIOPHOTONICS 2022; 15:e202100354. [PMID: 35233990 DOI: 10.1002/jbio.202100354] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/16/2021] [Revised: 01/21/2022] [Accepted: 02/16/2022] [Indexed: 06/14/2023]
Abstract
Raman spectroscopy is promising as a noninvasive tool for cancer diagnosis. A superficial Raman probe might improve the classification of bladder cancer, because information is gained solely from the diseased tissue and irrelevant information from deeper layers is omitted. We compared Raman measurements of a superficial to a nonsuperficial probe, in bladder cancer diagnosis. Two-hundred sixteen Raman measurements and biopsies were taken in vivo from at least one suspicious and one unsuspicious bladder location in 104 patients. A Raman classification model was constructed based on histopathology, using a principal-component fed linear-discriminant-analysis and leave-one-person-out cross-validation. The diagnostic ability measured in area under the receiver operating characteristics curve was 0.95 and 0.80, the sensitivity was 90% and 85% and the specificity was 87% and 88% for the superficial and the nonsuperficial probe, respectively. We found inflammation to be a confounder and additionally we found a gradual transition from benign to low-grade to high-grade urothelial carcinoma. Raman spectroscopy provides additional information to histopathology and the diagnostic value using a superficial probe.
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Affiliation(s)
- Michelle Stomp-Agenant
- Department of Urology, Leiden University Medical Center, Leiden, The Netherlands
- Department of Medical Physics, St. Antonius Hospital, Nieuwegein, The Netherlands
| | - Thomas van Dijk
- Department of Medical Physics, St. Antonius Hospital, Nieuwegein, The Netherlands
| | - Alexander R Onur
- Department of Medical Physics, St. Antonius Hospital, Nieuwegein, The Netherlands
| | - Matthijs Grimbergen
- Department of Medical Physics, St. Antonius Hospital, Nieuwegein, The Netherlands
| | - Harm van Melick
- Department of Urology, St. Antonius Hospital, Nieuwegein, The Netherlands
| | - Trudy Jonges
- Department of Pathology, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Ruud Bosch
- Department of Urology, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Christiaan van Swol
- Department of Medical Physics, St. Antonius Hospital, Nieuwegein, The Netherlands
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7
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Kujdowicz M, Mech B, Chrabaszcz K, Chlosta P, Okon K, Malek K. FTIR Spectroscopic Imaging Supports Urine Cytology for Classification of Low- and High-Grade Bladder Carcinoma. Cancers (Basel) 2021; 13:cancers13225734. [PMID: 34830887 PMCID: PMC8616357 DOI: 10.3390/cancers13225734] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2021] [Revised: 11/08/2021] [Accepted: 11/10/2021] [Indexed: 11/16/2022] Open
Abstract
Simple Summary Human urine cytological samples were investigated using Fourier transform infrared spectroscopic imaging in terms of recognition of bladder cancer. The clustering of IR spectra of whole cytological smears revealed very good spectral correlation with normal urothelial cell features. Next, the combination of spectral information derived from unsupervised hierarchical cluster analysis and partial least square discriminant analysis (PLS-DA) classified normal vs. low- and high-grade bladder urothelial carcinoma with sensitivity and specificity of 90–97%. Abstract Bladder urothelial carcinoma (BC) is a common, recurrent, life-threatening, and unpredictable disease which is difficult to diagnose. These features make it one of the costliest malignancies. Although many possible diagnostic methods are available, molecular heterogeneity and difficulties in cytological or histological examination induce an urgent need to improve diagnostic techniques. Herein, we applied Fourier transform infrared spectroscopy in imaging mode (FTIR) to investigate patients’ cytology samples assigned to normal (N), low-grade (LG) and high-grade (HG) BC. With unsupervised hierarchical cluster analysis (UHCA) and hematoxylin-eosin (HE) staining, we observed a correlation between N cell types and morphology. High-glycogen superficial (umbrella) and low-glycogen piriform urothelial cells, both with normal morphology, were observed. Based on the spectra derived from UHCA, principal component analysis (PCA) and partial least squares discriminant analysis (PLS-DA) were performed, indicating a variation of protein content between the patient groups. Moreover, BC spectral cytology identified a low number of high-glycogen cells for which a shift of the carbohydrate/phosphate bands was also observed. Despite high cellular heterogeneity, PLS-DA was able to classify the spectra obtained. The voided urine FTIR cytology is one of the options that might be helpful in BC diagnosis, as high sensitivity and specificity up to 97% were determined.
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Affiliation(s)
- Monika Kujdowicz
- Department of Pathomorphology, Faculty of Medicine, Jagiellonian University Medical College, Grzegorzecka 16, 31-531 Krakow, Poland;
- Faculty of Chemistry, Jagiellonian University in Krakow, Gronostajowa 2, 30-387 Krakow, Poland; (B.M.); (K.C.)
| | - Brygida Mech
- Faculty of Chemistry, Jagiellonian University in Krakow, Gronostajowa 2, 30-387 Krakow, Poland; (B.M.); (K.C.)
| | - Karolina Chrabaszcz
- Faculty of Chemistry, Jagiellonian University in Krakow, Gronostajowa 2, 30-387 Krakow, Poland; (B.M.); (K.C.)
- Department of Experimental Physics of Complex Systems, Institute of Nuclear Physics, Polish Academy of Sciences, Radzikowskiego 152, 31-342 Krakow, Poland
| | - Piotr Chlosta
- Department of Urology, Faculty of Medicine, Jagiellonian University Medical College, Jakubowskiego 2, 30-688 Krakow, Poland;
| | - Krzysztof Okon
- Department of Pathomorphology, Faculty of Medicine, Jagiellonian University Medical College, Grzegorzecka 16, 31-531 Krakow, Poland;
- Correspondence: (K.O.); (K.M.)
| | - Kamilla Malek
- Faculty of Chemistry, Jagiellonian University in Krakow, Gronostajowa 2, 30-387 Krakow, Poland; (B.M.); (K.C.)
- Correspondence: (K.O.); (K.M.)
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Liu Z, Zhang P, Wang H, Zheng B, Sun L, Zhang D, Fan J. Raman Spectrum-Based Diagnosis Strategy for Bladder Tumor. Urol Int 2021; 106:109-115. [PMID: 34515249 DOI: 10.1159/000518877] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2021] [Accepted: 06/21/2021] [Indexed: 11/19/2022]
Abstract
Raman spectroscopy is an optical technique that can potentially serve as a molecular diagnosis method. This approach is excellent in many aspects for diagnosing bladder tumors, and over the last 20 years, there has been a rapid increase in the number of related studies. However, no review article has covered the wide use of Raman spectroscopy in bladder tumors. A total of 26 original studies have suggested that Raman spectroscopy shows good performance in diagnosing bladder tumors from 4 aspects, including tissue sections, endoscopic methods, cell screening, and biomarkers. However, Raman spectroscopy needs to be modified by combining it with other techniques, and studies based on a large population are still urgently needed to expand its clinical value.
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Affiliation(s)
- Zhenghong Liu
- The Second Clinical Medical College, Zhejiang Chinese Medical University, Hangzhou, China, .,Department of Urology, Zhejiang Provincial People's Hospital, People's Hospital of Hangzhou Medical College, Hangzhou, China,
| | - Pu Zhang
- Department of Urology, Zhejiang Provincial People's Hospital, People's Hospital of Hangzhou Medical College, Hangzhou, China
| | - Heng Wang
- Department of Urology, Zhejiang Provincial People's Hospital, People's Hospital of Hangzhou Medical College, Hangzhou, China
| | - Bin Zheng
- The Second Clinical Medical College, Zhejiang Chinese Medical University, Hangzhou, China.,Department of Urology, Zhejiang Provincial People's Hospital, People's Hospital of Hangzhou Medical College, Hangzhou, China
| | - Li Sun
- Hangzhou Medical College, Hangzhou, China
| | - Dahong Zhang
- Department of Urology, Zhejiang Provincial People's Hospital, People's Hospital of Hangzhou Medical College, Hangzhou, China
| | - Jinhai Fan
- Department of Urology, First Affiliated Hospital of Medical School, Xi'an Jiaotong University, Xi'an, China
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In Vitro Spectroscopy-Based Profiling of Urothelial Carcinoma: A Fourier Transform Infrared and Raman Imaging Study. Cancers (Basel) 2021; 13:cancers13010123. [PMID: 33401726 PMCID: PMC7796146 DOI: 10.3390/cancers13010123] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2020] [Revised: 12/17/2020] [Accepted: 12/21/2020] [Indexed: 11/21/2022] Open
Abstract
Simple Summary The mortality and recurrence associated with urothelial carcinoma are high. High heterogeneity makes it hard to detect with currently available methods such as cytology and histology. We propose here vibrational spectroscopic imaging as an additional diagnostic tool for the classification of bladder cancer. Our study revealed that chemism-induced spectroscopic features of the cancer cells of various stages and invasiveness were specifically detected. Abstract Markers of bladder cancer cells remain elusive, which is a major cause of the low recognition of this malignant neoplasm and its recurrence. This implies an urgent need for additional diagnostic tools which are based on the identification of the chemism of bladder cancer. In this study, we employed label-free techniques of molecular imaging—Fourier Transform Infrared and Raman spectroscopic imaging—to investigate bladder cancer cell lines of various invasiveness (T24a, T24p, HT-1376, and J82). The urothelial HCV-29 cell line was the healthy control. Specific biomolecules discriminated spatial distribution of the nucleus and cytoplasm and indicated the presence of lipid bodies and graininess in some cell lines. The most prominent discriminators are the total content of lipids and sugar moieties as well as the presence of glycogen and other carbohydrates, un/saturated lipids, cytochromes, and a level of S-S bridges in proteins. The combination of the obtained hyperspectral database and chemometric methods showed a clear differentiation of each cell line at the level of the nuclei and cytoplasm and pointed out spectral signals which differentiated bladder cancer cells. Registered spectral markers correlated with biochemical composition changes can be associated with pathogenesis and potentially used for the diagnosis of bladder cancer and response to experimental therapies.
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10
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Spectrochemical Technology in Nanomaterial Preparation and Art Appraisal Technology Research. J CHEM-NY 2020. [DOI: 10.1155/2020/6938324] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
With the rapid development of science and technology in micro/nanofield, it is urgent to carry out the research on new technology of micro/nanomechanics test and multiscale-related experimental mechanical analysis method. There is still a lot of work to be done in the basic theory and analysis method of micro-Raman spectroscopy as a new microscale mechanical test method applied to the experimental research of material mechanics. Based on the above background, the purpose of this paper is the application of spectrochemical technology in the preparation of nanomaterials and art identification technology. In this paper, different morphologies of SiO2 nanomaterials, such as crystalline nanoparticles, amorphous nanowires, nanospheres, and nanonets, were prepared by a simple hot steaming method in the presence of argon. The samples were characterized by Raman spectroscopy. In addition, this paper also carried out art identification work, using spectral technology to detect some paintings and calligraphy. The experimental results show that the Raman spectra of these paintings and calligraphy papers are in the visible region because their fluorescence is too strong, and almost all the peaks are submerged. In the near-infrared region (1064 nm), their peaks are also very weak, but they can be distinguished by fluorescence and scanning electron microscopy.
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11
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Heng HPS, Shu C, Zheng W, Lin K, Huang Z. Advances in real‐time fiber‐optic Raman spectroscopy for early cancer diagnosis: Pushing the frontier into clinical endoscopic applications. TRANSLATIONAL BIOPHOTONICS 2020. [DOI: 10.1002/tbio.202000018] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023] Open
Affiliation(s)
- Howard Peng Sin Heng
- Optical Bioimaging Laboratory, Department of Biomedical Engineering, Faculty of Engineering National University of Singapore Singapore Singapore
- NUS Graduate School for Integrative Sciences and Engineering National University of Singapore Singapore Singapore
| | - Chi Shu
- Optical Bioimaging Laboratory, Department of Biomedical Engineering, Faculty of Engineering National University of Singapore Singapore Singapore
| | - Wei Zheng
- Optical Bioimaging Laboratory, Department of Biomedical Engineering, Faculty of Engineering National University of Singapore Singapore Singapore
| | - Kan Lin
- Optical Bioimaging Laboratory, Department of Biomedical Engineering, Faculty of Engineering National University of Singapore Singapore Singapore
| | - Zhiwei Huang
- Optical Bioimaging Laboratory, Department of Biomedical Engineering, Faculty of Engineering National University of Singapore Singapore Singapore
- NUS Graduate School for Integrative Sciences and Engineering National University of Singapore Singapore Singapore
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Alghazeer R, Burwaiss AA, Howell NK, Alansari WS, Shamlan G, Eskandrani AA. Determining the Cytotoxicity of Oxidized Lipids in Cultured Caco-2 Cells Using Bioimaging Techniques. Molecules 2020; 25:molecules25071693. [PMID: 32272768 PMCID: PMC7180719 DOI: 10.3390/molecules25071693] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2020] [Revised: 04/01/2020] [Accepted: 04/04/2020] [Indexed: 12/02/2022] Open
Abstract
Fish lipids are comprised of considerable quantities of polyunsaturated acids and are prone to oxidation, producing reactive oxygen species and hydroperoxides. This study aimed to evaluate the biochemical and structural alterations in Caco-2 cells following exposure to 100 μg/mL methyl linoleate or fish oil, and then radiated for 24, 48 or 72 h. Electron spin resonance spectroscopy detected free radicals in the lipid membrane, Raman microscopy observed biochemical alterations and atomic force microscopy identified changes in morphology, such as the breakdown of DNA bonds. The study showed that bioimaging and biochemical techniques can be effective at detecting and diagnosing cellular injuries incurred by lipid peroxidation.
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Affiliation(s)
- Rabia Alghazeer
- Chemistry Department, Faculty of Science, University of Tripoli, Tripoli 50676, Libya
- Correspondence:
| | - Abdullah A. Burwaiss
- Medicine Department, Faculty of Human Medicine, University of Tripoli, Tripoli 50676, Libya;
| | - Nazlin K. Howell
- School of Biomedical and Molecular Sciences, University of Surrey, Guildford, Surrey GU2 7XH, UK;
| | - Wafa S. Alansari
- Biochemistry Department, Faculty of Science, University of Jeddah, Jeddah 21577, Saudi Arabia;
| | - Ghalia Shamlan
- Department of Food Science and Nutrition, College of Food and agriculture Sciences, King Saud University, Riyadh 11362, Saudi Arabia;
| | - Areej A. Eskandrani
- Chemistry Department, Faculty of Science, Taibah University, Medina 30002, Saudi Arabia;
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13
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Jin H, Lin T, Han P, Yao Y, Zheng D, Hao J, Hu Y, Zeng R. Efficacy of Raman spectroscopy in the diagnosis of bladder cancer: A systematic review and meta-analysis. Medicine (Baltimore) 2019; 98:e18066. [PMID: 31764837 PMCID: PMC6882629 DOI: 10.1097/md.0000000000018066] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/05/2023] Open
Abstract
BACKGROUND Bladder cancer is one of the severest human malignancies which are hardly detected at an early stage. Raman spectroscopy is reported to maintain a high diagnostic accuracy, sensitivity and specificity in some tumors. METHODS We carried out a complete systematic review based on articles from PubMed/Medline, EMBASE, Web of Science, Ovid, Web of Knowledge, Cochrane Library and CNKI. We identified 2341 spectra with strict criteria in 9 individual studies between 2004 and 2018 in accordance to Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) guidelines. We summarized the test performance using random effects models. RESULTS General pooled diagnostic sensitivity and specificity of RS to kidney cancer were 94% (95% CI 0.93-0.95) and 92% (95% CI 0.90-0.93). The pooled positive LR was 10.00 (95%CI 5.66-17.65) while the negative LR was 0.09 (95%CI 0.06-0.14). The pooled DOR was 139.53 (95% CI 54.60-356.58). The AUC of SROC was 0.9717. CONCLUSION Through this meta-analysis, we found a promisingly high sensitivity and specificity of RS in the diagnosis of suspected bladder masses and tumors. Other parameters like positive, negative LR, DOR, and AUC of the SROC curve all helped to illustrate the high efficacy of RS in bladder cancer diagnosis.
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Affiliation(s)
- Hongyu Jin
- Department of Liver Surgery, Liver Transplantation Center, West China Hospital
- West China School of Medicine
| | - Tianhai Lin
- Department of Urology, Institute of Urology, West China Hospital, Sichuan University, Chengdu, China
| | - Ping Han
- Department of Urology, Institute of Urology, West China Hospital, Sichuan University, Chengdu, China
| | | | | | | | | | - Rui Zeng
- West China School of Medicine
- Department of Cardiovascular Diseases, West China Hospital, Sichuan University, Chengdu, China
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Araújo MV, Queiroz AC, Silva JFM, Silva AE, Silva JKS, Silva GR, Silva ECO, Souza ST, Fonseca EJS, Camara CA, Silva TMS, Alexandre-Moreira MS. Flavonoids induce cell death in Leishmania amazonensis: in vitro characterization by flow cytometry and Raman spectroscopy. Analyst 2019; 144:5232-5244. [PMID: 31360935 DOI: 10.1039/c9an00948e] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
Leishmaniasis comprises a group of infectious diseases with worldwide distribution, of which both the visceral and cutaneous forms are caused by Leishmania parasites. In the absence of vaccines, efficacious chemotherapy remains the basis for leishmaniasis control. The available drugs are expensive and associated with several secondary adverse effects. Due to these limitations, the development of new antileishmanial compounds is imperative, and plants offer various perspectives in this regard. The present study evaluated the in vitro leishmanicidal activity of flavonoids isolated from Solanum paludosum Moric. and investigated the mechanisms of cell death induced by them. These compounds were evaluated in vitro for their antileishmanial activity against Leishmania amazonensis promastigotes and they showed prominent leishmanicidal activity. The EtOAc fraction, gossypetin 3,7,8,4'-tetra-O-methyl ether (1), and kaempferol 3,7-di-O-methyl ether (3) were selected to be used in an in vitro assay against L. amazonensis amastigotes and cell death assays. The flavonoids (1) and (3) presented significant activity against L. amazonensis amastigotes, exhibiting the IC50 values of 23.3 ± 4.5 μM, 34.0 ± 9.6 μM, and 10.5 ± 2.5 μM for the EtOAc fraction, (1), and (3), respectively, without toxic effects to the host cells. Moreover, (1) and (3) induced blocked cell cycle progression at the G1/S transition, ultimately leading to G1/G0 arrest. Flavonoid (3) also induced autophagy. Using Raman spectroscopy in conjunction with principal component analysis, the biochemical changes in the cellular components induced by flavonoids (1) and (3) were presented. The obtained results indicated that the mechanisms of action of (1) and (3) occurred through different routes. The results support that the flavonoids derived from S. paludosum can become lead molecules for the design of antileishmanial prototypes.
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Affiliation(s)
- Morgana V Araújo
- Laboratory of Pharmacology and Immunity, Institute of Biological Sciences and Health, Federal University of Alagoas, 57020-720, Maceió, Alagoas, Brazil.
| | - Aline C Queiroz
- Laboratory of Pharmacology and Immunity, Institute of Biological Sciences and Health, Federal University of Alagoas, 57020-720, Maceió, Alagoas, Brazil.
| | - João F M Silva
- Laboratory of Pharmacology and Immunity, Institute of Biological Sciences and Health, Federal University of Alagoas, 57020-720, Maceió, Alagoas, Brazil.
| | - Amanda E Silva
- Laboratory of Pharmacology and Immunity, Institute of Biological Sciences and Health, Federal University of Alagoas, 57020-720, Maceió, Alagoas, Brazil.
| | - João K S Silva
- Laboratory of Pharmacology and Immunity, Institute of Biological Sciences and Health, Federal University of Alagoas, 57020-720, Maceió, Alagoas, Brazil.
| | - Girliane R Silva
- Phytochemical Bioprospecting Laboratory, Chemistry Department, Federal Rural University of Pernambuco, 52171-900, Recife, Pernambuco, Brazil
| | - Elaine C O Silva
- Optics and Nanoscopy Group, Institute of Physics, Federal University of Alagoas, 57072-970, Maceió, Alagoas, Brazil
| | - Samuel T Souza
- Optics and Nanoscopy Group, Institute of Physics, Federal University of Alagoas, 57072-970, Maceió, Alagoas, Brazil
| | - Eduardo J S Fonseca
- Optics and Nanoscopy Group, Institute of Physics, Federal University of Alagoas, 57072-970, Maceió, Alagoas, Brazil
| | - Celso A Camara
- Phytochemical Bioprospecting Laboratory, Chemistry Department, Federal Rural University of Pernambuco, 52171-900, Recife, Pernambuco, Brazil
| | - Tania M S Silva
- Phytochemical Bioprospecting Laboratory, Chemistry Department, Federal Rural University of Pernambuco, 52171-900, Recife, Pernambuco, Brazil
| | - Magna S Alexandre-Moreira
- Laboratory of Pharmacology and Immunity, Institute of Biological Sciences and Health, Federal University of Alagoas, 57020-720, Maceió, Alagoas, Brazil.
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15
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Khan S, Ullah R, Ashraf R, Khan A, Khan S, Ahmad I. Optical screening of hepatitis-B infected blood sera using optical technique and neural network classifier. Photodiagnosis Photodyn Ther 2019; 27:375-379. [PMID: 31299391 DOI: 10.1016/j.pdpdt.2019.07.001] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2019] [Revised: 06/27/2019] [Accepted: 07/08/2019] [Indexed: 11/17/2022]
Abstract
In this study we demonstrate the analysis of biochemical changes in the human blood sera infected with Hepatitis B virus (HBV) using Raman spectroscopy. In total, 120 diseased blood samples and 170 healthy blood samples, collected from Pakistan Atomic Energy Commission (PAEC) general hospital, were analyzed. Spectra from each sample of both groups were collected in the spectral range 400-1700 cm-1. Careful spectral analyses demonstrated significant spectral variations (p < 0.0001) in the HBV infected individuals as compared to the normal ones. The spectral variations presumably occur because of the variations in the concentration of important biomolecules. Variations in spectral signatures were further exploited by using a neural network classifier towards machine-assisted classification of the two groups. Evaluation metrics of the classifier showed the diagnostic accuracy of (0.993), sensitivity ( = 0.992), specificity ( = 0.994), positive predictive value ( = 0.992) and negative predictive value ( = 0.994). The observed variations in the molecular concentration may be important markers of the hepatic performance and can be used in the diagnosis and machine-assisted classification of HBV infection.
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Affiliation(s)
- Saranjam Khan
- Department of Physics, Islamia College Peshawar, Khyber Pakhtunkhwa, Pakistan.
| | - Rahat Ullah
- Agri-Biophotonics Division, National Institute for Lasers and Optronics, Nilore, Islamabad 45650, Pakistan
| | - Ruby Ashraf
- Department of Chemistry, COMSATS Institute of Information Technology, Abbottabad, 22060, KPK, Pakistan
| | - Ajmal Khan
- Department of Chemistry, COMSATS Institute of Information Technology, Abbottabad, 22060, KPK, Pakistan
| | - Shamim Khan
- Department of Physics, Islamia College Peshawar, Khyber Pakhtunkhwa, Pakistan
| | - Iftikhar Ahmad
- Institute of Radiotherapy and Nuclear Medicine (IRNUM), University Campus, Peshawar, Pakistan.
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16
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Abstract
Optical and cross-sectional imaging plays critical roles in bladder cancer diagnostics. White light cystoscopy remains the cornerstone for the management of non-muscle-invasive bladder cancer. In the last decade, significant technological improvements have been introduced for optical imaging to address the known shortcomings of white light cystoscopy. Enhanced cystoscopy modalities such as blue light cystoscopy and narrowband imaging survey a large area of the urothelium and provide contrast enhancement to detect additional lesions and decrease cancer recurrence. However, higher false-positive rates accompany the gain of sensitivity. Optical biopsy technologies, including confocal laser endomicroscopy and optical coherence tomography, provide cellular resolutions combined with subsurface imaging, thereby enabling optical-based cancer characterization, and may lead to real-time cancer grading and staging. Coupling of fluorescently labeled binding agents with optical imaging devices may translate into high molecular specificity, thus enabling visualization and characterization of biological processes at the molecular level. For cross-sectional imaging, upper urinary tract evaluation and assessment potential extravesical tumor extension and metastases are currently the primary roles, particularly for management of muscle-invasive bladder cancer. Multi-parametric MRI, including dynamic gadolinium-enhanced and diffusion-weighted sequences, has been investigated for primary bladder tumor detection. Ultrasmall superparamagnetic particles of iron oxide (USPIO) are a new class of contrast agents that increased the accuracy of lymph node imaging. Combination of multi-parametric MRI with positron emission tomography is on the horizon to improve accuracy rates for primary tumor diagnostics as well as lymph node evaluation. As these high-resolution optical and cross-sectional technologies emerge and develop, judicious assessment and validation await for their clinical integration toward improving the overall management of bladder cancer.
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17
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da Silva ECO, Dos Santos FM, Ribeiro ARB, de Souza ST, Barreto E, Fonseca EJDS. Drug-induced anti-inflammatory response in A549 cells, as detected by Raman spectroscopy: a comparative analysis of the actions of dexamethasone and p-coumaric acid. Analyst 2019; 144:1622-1631. [PMID: 30633254 DOI: 10.1039/c8an01887a] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Corticosteroids are widely used as effective treatments for the control of chronic inflammatory diseases. However, because their long-term administration carries serious consequences, there is a need to investigate alternative therapies to reduce or even replace their use. In this regard, phenolic compounds have been presented as an alternative for the treatment of inflammatory diseases. p-Coumaric acid, a natural phenolic compound found throughout nature, exhibits antioxidative and anti-inflammatory properties. Herein, using a combination of Raman spectroscopy with principal component analysis and hierarchical cluster analysis, the inflammatory process induced by cigarette smoke extract (CSE) in epithelial cells treated with either a corticosteroid or p-coumaric acid was monitored in vitro. Our findings showed that p-coumaric acid had a significant anti-inflammatory effect in CSE-activated epithelial cells, and thus may be a useful alternative to corticosteroids for the treatment of airway inflammation in chronic obstructive pulmonary disease. In addition, multivariate analysis of the cell spectral data indicated that the mechanisms of action of the two drugs occur through different routes.
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18
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Swapna M, Shinker S, Suresh S, Sankararaman S. Raman spectroscopic and fractal analysis of blood samples of dengue fever patients. Biomed Mater Eng 2018; 29:787-797. [DOI: 10.3233/bme-181023] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
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19
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Pahlow S, Weber K, Popp J, Wood BR, Kochan K, Rüther A, Perez-Guaita D, Heraud P, Stone N, Dudgeon A, Gardner B, Reddy R, Mayerich D, Bhargava R. Application of Vibrational Spectroscopy and Imaging to Point-of-Care Medicine: A Review. APPLIED SPECTROSCOPY 2018; 72:52-84. [PMID: 30265133 PMCID: PMC6524782 DOI: 10.1177/0003702818791939] [Citation(s) in RCA: 63] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/11/2023]
Affiliation(s)
- Susanne Pahlow
- Friedrich Schiller University Jena, Institute of Physical Chemistry and Abbe Center of Photonics, Jena, Germany
- InfectoGnostics Research Campus Jena, Centre for Applied Research, Jena, Germany
| | - Karina Weber
- Friedrich Schiller University Jena, Institute of Physical Chemistry and Abbe Center of Photonics, Jena, Germany
- InfectoGnostics Research Campus Jena, Centre for Applied Research, Jena, Germany
- Leibniz Institute of Photonic Technology-Leibniz Health Technologies, Jena, Germany
| | - Jürgen Popp
- Friedrich Schiller University Jena, Institute of Physical Chemistry and Abbe Center of Photonics, Jena, Germany
- InfectoGnostics Research Campus Jena, Centre for Applied Research, Jena, Germany
- Leibniz Institute of Photonic Technology-Leibniz Health Technologies, Jena, Germany
| | - Bayden R. Wood
- Centre for Biospectroscopy, School of Chemistry, Monash University, Clayton, Victoria, Australia
| | - Kamila Kochan
- Centre for Biospectroscopy, School of Chemistry, Monash University, Clayton, Victoria, Australia
| | - Anja Rüther
- Centre for Biospectroscopy, School of Chemistry, Monash University, Clayton, Victoria, Australia
| | - David Perez-Guaita
- Centre for Biospectroscopy, School of Chemistry, Monash University, Clayton, Victoria, Australia
| | - Philip Heraud
- Centre for Biospectroscopy, School of Chemistry, Monash University, Clayton, Victoria, Australia
| | - Nick Stone
- University of Exeter, School of Physics and Astronomy, Exeter, UK
| | - Alex Dudgeon
- University of Exeter, School of Physics and Astronomy, Exeter, UK
| | - Ben Gardner
- University of Exeter, School of Physics and Astronomy, Exeter, UK
| | - Rohith Reddy
- Department of Electrical Engineering, University of Houston, Houston, USA
| | - David Mayerich
- Department of Electrical Engineering, University of Houston, Houston, USA
| | - Rohit Bhargava
- Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana Champaign, Departments of Mechanical Engineering, Bioengineering, Chemical and Biomolecular Engineering, Electrical and Computer Engineering, and Chemistry, University of Illinois at Urbana-Champaign, Urbana, USA
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20
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Mahmood T, Nawaz H, Ditta A, Majeed MI, Hanif MA, Rashid N, Bhatti HN, Nargis HF, Saleem M, Bonnier F, Byrne HJ. Raman spectral analysis for rapid screening of dengue infection. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2018; 200:136-142. [PMID: 29677500 DOI: 10.1016/j.saa.2018.04.018] [Citation(s) in RCA: 40] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/20/2018] [Revised: 04/02/2018] [Accepted: 04/09/2018] [Indexed: 05/22/2023]
Abstract
Infection with the dengue virus is currently clinically detected according to different biomarkers in human blood plasma, commonly measured by enzyme linked immunosorbent assays, including non-structural proteins (Ns1), immunoglobulin M (IgM) and immunoglobulin G (IgG). However, there is little or no mutual correlation between the biomarkers, as demonstrated in this study by a comparison of their levels in samples from 17 patients. As an alternative, the label free, rapid screening technique, Raman spectroscopy has been used for the characterisation/diagnosis of healthy and dengue infected human blood plasma samples. In dengue positive samples, changes in specific Raman spectral bands associated with lipidic and amino acid/protein content are observed and assigned based on literature and these features can be considered as markers associated with dengue development. Based on the spectroscopic analysis of the current, albeit limited, cohort of samples, Principal Components Analysis (PCA) coupled Factorial Discriminant Analysis, yielded values of 97.95% sensitivity and 95.40% specificity for identification of dengue infection. Furthermore, in a comparison of the normal samples to the patient samples which scored low for only one of the biomarker tests, but high or medium for either or both of the other two, PCA-FDA demonstrated a sensitivity of 97.38% and specificity of 86.18%, thus providing an unambiguous screening technology.
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Affiliation(s)
- T Mahmood
- Department of Chemistry, University of Agriculture, Faisalabad, Pakistan
| | - H Nawaz
- Department of Chemistry, University of Agriculture, Faisalabad, Pakistan.
| | - A Ditta
- Department of Chemistry, University of Agriculture, Faisalabad, Pakistan
| | - M I Majeed
- Department of Chemistry, University of Agriculture, Faisalabad, Pakistan
| | - M A Hanif
- Department of Chemistry, University of Agriculture, Faisalabad, Pakistan
| | - N Rashid
- University of Central Punjab, Faisalabad campus, Faisalabad, Pakistan
| | - H N Bhatti
- Department of Chemistry, University of Agriculture, Faisalabad, Pakistan
| | - H F Nargis
- Department of Chemistry, University of Agriculture, Faisalabad, Pakistan
| | - M Saleem
- National Institute of Lasers and Optronics (NILOP), Islamabad, Pakistan
| | - F Bonnier
- EA 6295 Nano-médicaments and nano-sondes, Université François-Rabelais de Tours, Tours, France
| | - H J Byrne
- FOCAS Research Institute, Dublin Institute of Technology, Kevin Street, Dublin 8, Ireland
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21
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Khan S, Ullah R, Khan A, Ashraf R, Ali H, Bilal M, Saleem M. Analysis of hepatitis B virus infection in blood sera using Raman spectroscopy and machine learning. Photodiagnosis Photodyn Ther 2018; 23:89-93. [PMID: 29787817 DOI: 10.1016/j.pdpdt.2018.05.010] [Citation(s) in RCA: 49] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2018] [Revised: 05/15/2018] [Accepted: 05/18/2018] [Indexed: 12/12/2022]
Abstract
This study presents the analysis of hepatitis B virus (HBV) infection in human blood serum using Raman spectroscopy combined with pattern recognition technique. In total, 119 confirmed samples of HBV infected sera, collected from Pakistan Atomic Energy Commission (PAEC) general hospital have been used for the current analysis. The differences between normal and HBV infected samples have been evaluated using support vector machine (SVM) algorithm. SVM model with two different kernels i.e. polynomial function and Gaussian radial basis function (RBF) have been investigated for the classification of normal blood sera from HBV infected sera based on Raman spectral features. Furthermore, the performance of the model with each kernel function has also been analyzed with two different implementations of optimization problem i.e. Quadratic programming and least square. 5-fold cross validation method has been used for the evaluation of the model. In the current study, best classification performance has been achieved for polynomial kernel of order-2. A diagnostic accuracy of about 98% with the precision of 97%, sensitivity of 100% and specificity of 95% has been achieved under these conditions.
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Affiliation(s)
- Saranjam Khan
- Agri-Biophotonics Division, National Institute of Lasers and Optronics (NILOP), Nilore, Islamabad 45650, Pakistan.
| | - Rahat Ullah
- Agri-Biophotonics Division, National Institute of Lasers and Optronics (NILOP), Nilore, Islamabad 45650, Pakistan
| | - Asifullah Khan
- Pattern Recognition Lab, DCIS, Pakistan Institutes of Engineering and Applied Sciences (PIEAS), Nilore, Islamabad 45650, Pakistan
| | - Ruby Ashraf
- Department of Chemistry, COMSATS Institute of Information Technology, Abbottabad, KPK 22060, Pakistan
| | - Hina Ali
- Agri-Biophotonics Division, National Institute of Lasers and Optronics (NILOP), Nilore, Islamabad 45650, Pakistan
| | - Muhammad Bilal
- Agri-Biophotonics Division, National Institute of Lasers and Optronics (NILOP), Nilore, Islamabad 45650, Pakistan
| | - Muhammad Saleem
- Agri-Biophotonics Division, National Institute of Lasers and Optronics (NILOP), Nilore, Islamabad 45650, Pakistan
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22
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Upchurch E, Isabelle M, Lloyd GR, Kendall C, Barr H. An update on the use of Raman spectroscopy in molecular cancer diagnostics: current challenges and further prospects. Expert Rev Mol Diagn 2018; 18:245-258. [DOI: 10.1080/14737159.2018.1439739] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
Affiliation(s)
- Emma Upchurch
- Department of Upper GI Surgery, Gloucestershire Royal Hospital, Gloucester
- Biophotonics Research Unit, Gloucestershire Royal Hospital, Gloucester
| | | | - Gavin Rhys Lloyd
- Phenome Centre Birmingham, School of Biosciences, University of Birmingham
| | - Catherine Kendall
- Biophotonics Research Unit, Gloucestershire Royal Hospital, Gloucester
| | - Hugh Barr
- Department of Upper GI Surgery, Gloucestershire Royal Hospital, Gloucester
- Biophotonics Research Unit, Gloucestershire Royal Hospital, Gloucester
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23
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Baker MJ, Byrne HJ, Chalmers J, Gardner P, Goodacre R, Henderson A, Kazarian SG, Martin FL, Moger J, Stone N, Sulé-Suso J. Clinical applications of infrared and Raman spectroscopy: state of play and future challenges. Analyst 2018; 143:1735-1757. [DOI: 10.1039/c7an01871a] [Citation(s) in RCA: 128] [Impact Index Per Article: 18.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
Abstract
This review examines the state-of-the-art of clinical applications of infrared absorption and Raman spectroscopy, outstanding challenges, and progress towards translation.
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Affiliation(s)
- Matthew J. Baker
- WestCHEM
- Technology and Innovation Centre
- Department of Pure and Applied Chemistry
- University of Strathclyde
- Glasgow G1 1RD
| | - Hugh J. Byrne
- FOCAS Research Institute
- Dublin Institute of Technology
- Dublin 8
- Ireland
| | | | - Peter Gardner
- Manchester Institute of Biotechnology (MIB)
- University of Manchester
- Manchester
- UK
| | - Royston Goodacre
- Manchester Institute of Biotechnology (MIB)
- University of Manchester
- Manchester
- UK
| | - Alex Henderson
- Manchester Institute of Biotechnology (MIB)
- University of Manchester
- Manchester
- UK
| | - Sergei G. Kazarian
- Department of Chemical Engineering
- Imperial College London
- South Kensington Campus
- London
- UK
| | - Francis L. Martin
- School of Pharmacy and Biomedical Sciences
- University of Central Lancashire
- Preston PR1 2HE
- UK
| | - Julian Moger
- Biomedical Physics
- School of Physics and Astronomy
- University of Exeter
- Exeter EX4 4QL
- UK
| | - Nick Stone
- Biomedical Physics
- School of Physics and Astronomy
- University of Exeter
- Exeter EX4 4QL
- UK
| | - Josep Sulé-Suso
- Institute for Science and Technology in Medicine
- Keele University
- Guy Hilton Research Centre
- Stoke on Trent ST4 7QB
- UK
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24
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Khan S, Ullah R, Javaid S, Shahzad S, Ali H, Bilal M, Saleem M, Ahmed M. Raman Spectroscopy Combined with Principal Component Analysis for Screening Nasopharyngeal Cancer in Human Blood Sera. APPLIED SPECTROSCOPY 2017; 71:2497-2503. [PMID: 28714322 DOI: 10.1177/0003702817723928] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/02/2023]
Abstract
This study demonstrates the analysis of nasopharyngeal cancer (NPC) in human blood sera using Raman spectroscopy combined with the multivariate analysis technique. Blood samples of confirmed NPC patients and healthy individuals have been used in this study. The Raman spectra from all these samples were recorded using 785 nm laser for excitation. Important Raman bands at 760, 800, 815, 834, 855, 1003, 1220-1275, and 1524 cm-1, have been observed in both normal and NPC samples. A decrease in the lipids content, phenylalanine, and β-carotene, whereas increases in amide III, tyrosine, and tryptophan have been observed in the NPC samples. The two data sets were well separated using principal component analysis (PCA) based on Raman spectral data. The spectral variations between the healthy and cancerous samples have been further highlighted by plotting loading vectors PC1 and PC2, which shows only those spectral regions where the differences are obvious.
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Affiliation(s)
- Saranjam Khan
- 1 Agri-biophotonics Laboratory, National Institute for Lasers & Optronics, Islamabad, Pakistan
| | - Rahat Ullah
- 1 Agri-biophotonics Laboratory, National Institute for Lasers & Optronics, Islamabad, Pakistan
| | - Samina Javaid
- 2 Department of Bioinformatics and Biotechnology, International Islamic University Islamabad, Pakistan
| | - Shaheen Shahzad
- 2 Department of Bioinformatics and Biotechnology, International Islamic University Islamabad, Pakistan
| | - Hina Ali
- 1 Agri-biophotonics Laboratory, National Institute for Lasers & Optronics, Islamabad, Pakistan
| | - Muhammad Bilal
- 1 Agri-biophotonics Laboratory, National Institute for Lasers & Optronics, Islamabad, Pakistan
- 3 Departmentof Physics and Applied Mathematics, Pakistan Institutes of Engineering and Applied Sciences, Islamabad, Pakistan
| | - Muhammad Saleem
- 1 Agri-biophotonics Laboratory, National Institute for Lasers & Optronics, Islamabad, Pakistan
| | - Mushtaq Ahmed
- 1 Agri-biophotonics Laboratory, National Institute for Lasers & Optronics, Islamabad, Pakistan
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25
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Khan S, Ullah R, Khan A, Sohail A, Wahab N, Bilal M, Ahmed M. Random Forest-Based Evaluation of Raman Spectroscopy for Dengue Fever Analysis. APPLIED SPECTROSCOPY 2017; 71:2111-2117. [PMID: 28862033 DOI: 10.1177/0003702817695571] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/02/2023]
Abstract
This work presents the evaluation of Raman spectroscopy using random forest (RF) for the analysis of dengue fever in the infected human sera. A total of 100 dengue suspected blood samples, collected from Holy Family Hospital, Rawalpindi, Pakistan, have been used in this study. Out of these samples, 45 were dengue-positive based on immunoglobulin M (IgM) capture enzyme-linked immunosorbent assay (ELISA) tests. For highlighting the spectral differences between normal and infected samples, an effective machine learning system is developed that automatically learns the pattern of the shift in spectrum for the dengue compared to normal cases and thus is able to predict the unknown class based on the known example. In this connection, dimensionality reduction has been performed with the principal component analysis (PCA), while RF is used for automatic classification of dengue samples. For the determination of diagnostic capabilities of Raman spectroscopy based on RF, sensitivity, specificity, and accuracy have been calculated in comparison to normally performed IgM capture ELISA. According to the experiment, accuracy of 91%, sensitivity of 91%, and specificity of 91% were achieved for the proposed RF-based model.
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Affiliation(s)
- Saranjam Khan
- 1 Agri-biophotonics Laboratory, National Institute for Lasers & Optronics, Islamabad, Pakistan
| | - Rahat Ullah
- 1 Agri-biophotonics Laboratory, National Institute for Lasers & Optronics, Islamabad, Pakistan
| | - Asifullah Khan
- 2 Department of Computer and Informatics Sciences, Pakistan Institutes of Engineering and Applied Sciences, Islamabad, Pakistan
| | - Anabia Sohail
- 2 Department of Computer and Informatics Sciences, Pakistan Institutes of Engineering and Applied Sciences, Islamabad, Pakistan
| | - Noorul Wahab
- 2 Department of Computer and Informatics Sciences, Pakistan Institutes of Engineering and Applied Sciences, Islamabad, Pakistan
| | - Muhammad Bilal
- 1 Agri-biophotonics Laboratory, National Institute for Lasers & Optronics, Islamabad, Pakistan
- 3 Department of Physics and Applied Mathematics, Pakistan Institutes of Engineering and Applied Sciences, Islamabad, Pakistan
| | - Mushtaq Ahmed
- 1 Agri-biophotonics Laboratory, National Institute for Lasers & Optronics, Islamabad, Pakistan
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Evaluation of Shifted Excitation Raman Difference Spectroscopy and Comparison to Computational Background Correction Methods Applied to Biochemical Raman Spectra. SENSORS 2017; 17:s17081724. [PMID: 28749450 PMCID: PMC5579526 DOI: 10.3390/s17081724] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/26/2017] [Revised: 07/18/2017] [Accepted: 07/20/2017] [Indexed: 11/17/2022]
Abstract
Raman spectroscopy provides label-free biochemical information from tissue samples without complicated sample preparation. The clinical capability of Raman spectroscopy has been demonstrated in a wide range of in vitro and in vivo applications. However, a challenge for in vivo applications is the simultaneous excitation of auto-fluorescence in the majority of tissues of interest, such as liver, bladder, brain, and others. Raman bands are then superimposed on a fluorescence background, which can be several orders of magnitude larger than the Raman signal. To eliminate the disturbing fluorescence background, several approaches are available. Among instrumentational methods shifted excitation Raman difference spectroscopy (SERDS) has been widely applied and studied. Similarly, computational techniques, for instance extended multiplicative scatter correction (EMSC), have also been employed to remove undesired background contributions. Here, we present a theoretical and experimental evaluation and comparison of fluorescence background removal approaches for Raman spectra based on SERDS and EMSC.
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Yosef HK, Krauß SD, Lechtonen T, Jütte H, Tannapfel A, Käfferlein HU, Brüning T, Roghmann F, Noldus J, Mosig A, El-Mashtoly SF, Gerwert K. Noninvasive Diagnosis of High-Grade Urothelial Carcinoma in Urine by Raman Spectral Imaging. Anal Chem 2017; 89:6893-6899. [PMID: 28541036 DOI: 10.1021/acs.analchem.7b01403] [Citation(s) in RCA: 32] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/28/2023]
Abstract
The current gold standard for the diagnosis of bladder cancer is cystoscopy, which is invasive and painful for patients. Therefore, noninvasive urine cytology is usually used in the clinic as an adjunct to cystoscopy; however, it suffers from low sensitivity. Here, a novel noninvasive, label-free approach with high sensitivity for use with urine is presented. Coherent anti-Stokes Raman scattering imaging of urine sediments was used in the first step for fast preselection of urothelial cells, where high-grade urothelial cancer cells are characterized by a large nucleus-to-cytoplasm ratio. In the second step, Raman spectral imaging of urothelial cells was performed. A supervised classifier was implemented to automatically differentiate normal and cancerous urothelial cells with 100% accuracy. In addition, the Raman spectra not only indicated the morphological changes that are identified by cytology with hematoxylin and eosin staining but also provided molecular resolution through the use of specific marker bands. The respective Raman marker bands directly show a decrease in the level of glycogen and an increase in the levels of fatty acids in cancer cells as compared to controls. These results pave the way for "spectral" cytology of urine using Raman microspectroscopy.
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Affiliation(s)
- Hesham K Yosef
- Department of Biophysics, Ruhr-University Bochum , 44780 Bochum, Germany
| | - Sascha D Krauß
- Department of Biophysics, Ruhr-University Bochum , 44780 Bochum, Germany
| | - Tatjana Lechtonen
- Department of Biophysics, Ruhr-University Bochum , 44780 Bochum, Germany
| | - Hendrik Jütte
- Bergmannsheil Hospital, Ruhr-University Bochum , 44789 Bochum, Germany
| | - Andrea Tannapfel
- Bergmannsheil Hospital, Ruhr-University Bochum , 44789 Bochum, Germany
| | - Heiko U Käfferlein
- Institute for Prevention and Occupational Medicine of the German Social Accident Insurance, Institute of the Ruhr-University Bochum (IPA) , 44789 Bochum, Germany
| | - Thomas Brüning
- Institute for Prevention and Occupational Medicine of the German Social Accident Insurance, Institute of the Ruhr-University Bochum (IPA) , 44789 Bochum, Germany
| | - Florian Roghmann
- Department of Urology, Marien Hospital Herne, Ruhr-University Bochum , 44625 Herne, Germany
| | - Joachim Noldus
- Department of Urology, Marien Hospital Herne, Ruhr-University Bochum , 44625 Herne, Germany
| | - Axel Mosig
- Department of Biophysics, Ruhr-University Bochum , 44780 Bochum, Germany
| | | | - Klaus Gerwert
- Department of Biophysics, Ruhr-University Bochum , 44780 Bochum, Germany
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28
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Bilal M, Ullah R, Khan S, Ali H, Saleem M, Ahmed M. Lactate based optical screening of dengue virus infection in human sera using Raman spectroscopy. BIOMEDICAL OPTICS EXPRESS 2017; 8:1250-1256. [PMID: 28271015 PMCID: PMC5330547 DOI: 10.1364/boe.8.001250] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/19/2016] [Revised: 01/19/2017] [Accepted: 01/22/2017] [Indexed: 05/27/2023]
Abstract
This study presents the screening of dengue virus (DENV) infection in human blood sera based on lactate concentration using Raman spectroscopy. A total of 70 samples, 50 from confirmed DENV infected patients and 20 from healthy volunteers have been used in this study. Raman spectra of all these samples have been acquired in the spectral range from 600 cm-1 to 1800 cm-1 using a 532 nm laser as an excitation source. Spectra of all these samples have been analyzed for assessing the biochemical changes resulting from infection. In DENV infected samples three prominent Raman peaks have been found at 750, 830 and 1450 cm-1. These peaks are most probably attributed to an elevated level of lactate due to an impaired function of different body organs in dengue infected patients. This has been proven by an addition of lactic acid solution to the healthy serum in a controlled manner. By the addition of lactic acid solution, the intense Raman bands at 1003, 1156 and 1516 cm-1 found in the spectrum of healthy serum got suppressed when the new peaks appeared around 750, 830, 925, 950, 1123, 1333, 1450, 1580 and 1730 cm-1. The current study predicts that lactate may possibly be a potential biomarker for the diagnosis of DENV infection.
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Affiliation(s)
- Muhammad Bilal
- Department of Physics and Applied Mathematics, Pakistan Institute of Engineering and Applied Sciences (PIEAS), Nilore, Islamabad, 45650, Pakistan
| | - Rahat Ullah
- Agri. & Biophtonics Division, National Institute for Lasers and Optronics (NILOP), Nilore, Islamabad, 45650, Pakistan
| | - Saranjam Khan
- Agri. & Biophtonics Division, National Institute for Lasers and Optronics (NILOP), Nilore, Islamabad, 45650, Pakistan
| | - Hina Ali
- Agri. & Biophtonics Division, National Institute for Lasers and Optronics (NILOP), Nilore, Islamabad, 45650, Pakistan
| | - Muhammad Saleem
- Agri. & Biophtonics Division, National Institute for Lasers and Optronics (NILOP), Nilore, Islamabad, 45650, Pakistan
| | - Mushtaq Ahmed
- Agri. & Biophtonics Division, National Institute for Lasers and Optronics (NILOP), Nilore, Islamabad, 45650, Pakistan
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Jermyn M, Desroches J, Aubertin K, St-Arnaud K, Madore WJ, De Montigny E, Guiot MC, Trudel D, Wilson BC, Petrecca K, Leblond F. A review of Raman spectroscopy advances with an emphasis on clinical translation challenges in oncology. Phys Med Biol 2016; 61:R370-R400. [DOI: 10.1088/0031-9155/61/23/r370] [Citation(s) in RCA: 81] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/24/2023]
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Khan S, Ullah R, Khan A, Wahab N, Bilal M, Ahmed M. Analysis of dengue infection based on Raman spectroscopy and support vector machine (SVM). BIOMEDICAL OPTICS EXPRESS 2016; 7:2249-56. [PMID: 27375941 PMCID: PMC4918579 DOI: 10.1364/boe.7.002249] [Citation(s) in RCA: 33] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/16/2016] [Revised: 05/10/2016] [Accepted: 05/12/2016] [Indexed: 05/02/2023]
Abstract
The current study presents the use of Raman spectroscopy combined with support vector machine (SVM) for the classification of dengue suspected human blood sera. Raman spectra for 84 clinically dengue suspected patients acquired from Holy Family Hospital, Rawalpindi, Pakistan, have been used in this study.The spectral differences between dengue positive and normal sera have been exploited by using effective machine learning techniques. In this regard, SVM models built on the basis of three different kernel functions including Gaussian radial basis function (RBF), polynomial function and linear functionhave been employed to classify the human blood sera based on features obtained from Raman Spectra.The classification model have been evaluated with the 10-fold cross validation method. In the present study, the best performance has been achieved for the polynomial kernel of order 1. A diagnostic accuracy of about 85% with the precision of 90%, sensitivity of 73% and specificity of 93% has been achieved under these conditions.
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Affiliation(s)
- Saranjam Khan
- Agri-Biophotonics Division, National Institute for Lasers and Optronics (NILOP), Nilore, Islamabad 45650, Pakistan
| | - Rahat Ullah
- Agri-Biophotonics Division, National Institute for Lasers and Optronics (NILOP), Nilore, Islamabad 45650, Pakistan
| | - Asifullah Khan
- Pattern Recognition Lab, DCIS, Pakistan Institutes of Engineering and Applied Sciences (PIEAS), Nilore, Islamabad 45650, Pakistan
| | - Noorul Wahab
- Pattern Recognition Lab, DCIS, Pakistan Institutes of Engineering and Applied Sciences (PIEAS), Nilore, Islamabad 45650, Pakistan
| | - Muhammad Bilal
- Agri-Biophotonics Division, National Institute for Lasers and Optronics (NILOP), Nilore, Islamabad 45650, Pakistan
| | - Mushtaq Ahmed
- Agri-Biophotonics Division, National Institute for Lasers and Optronics (NILOP), Nilore, Islamabad 45650, Pakistan
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31
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Applications of spectroscopy in diagnosis, staging, and treatment of urologic malignancies. Curr Opin Urol 2016; 26:259-63. [DOI: 10.1097/mou.0000000000000281] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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32
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Kołodziej A, Krajewski W, Matuszewski M, Tupikowski K. Review of current optical diagnostic techniques for non-muscle-invasive bladder cancer. Cent European J Urol 2016; 69:150-6. [PMID: 27551551 PMCID: PMC4986301 DOI: 10.5173/ceju.2016.780] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2016] [Revised: 02/23/2016] [Accepted: 03/22/2016] [Indexed: 02/03/2023] Open
Abstract
Introduction Urinary bladder urothelial cell carcinoma is one of the most commonly diagnosed cancers in Europe. After prostate, lung and colon cancers, bladder cancer rates as the fourth most common cancer in men in the world. Urinary bladder cancer detection, treatment, and staging have traditionally been based on an endoscopic examination – cystoscopy. Material and methods A Medline, and Web of Science database search was performed on September 2015 without setting time limits, using the terms ‘bladder cancer’ in conjunction with ‘cystoscopy’, ‘diagnosis’, ‘detection’, ‘fluorescence’, ‘blue-light’, ‘PDD’, ‘narrow band imaging’, ‘molecular imaging’, ‘optical coherence tomography’ or ‘confocal laser endomicroscopy’. Results The new imaging techniques can be classified according to their scope as macroscopic, microscopic, and molecular. Macroscopic techniques, such as narrow band imaging, are similar to white light cystoscopy; however, they help visualize even very minute lesions in the bladder mucosa by means of contrast enhancement. Microscopic imaging techniques, such as optical coherence tomography and confocal laser endomicroscopy, provide high-resolution cross-sectional views of vesicular tissues, which resemble images obtained by histopathological examination. Therefore, these are referred as ‘optical biopsy’. Molecular imaging methods offer highly specific real-time visualization of cancer cells and their differentiation from healthy tissue, by combining optical imaging with fluorescent labeling of elements such as antibodies. Conclusions In this article we present a review of studies and literature concerning modern optical diagnostic techniques for non-muscle-invasive bladder cancer. We present available technology with its advantages and disadvantages, and studies regarding its effectiveness.
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Affiliation(s)
- Anna Kołodziej
- Department of Urology and Urological Oncology, Wrocław Medical University, Wrocław, Poland
| | - Wojciech Krajewski
- Department of Urology and Urological Oncology, Wrocław Medical University, Wrocław, Poland
| | - Michał Matuszewski
- Department of Urology and Urological Oncology, Wrocław Medical University, Wrocław, Poland
| | - Krzysztof Tupikowski
- Department of Urology and Urological Oncology, Wrocław Medical University, Wrocław, Poland
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33
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Li XX, Wang M, Chen HH, Li QY, Yang H, Xu HY, Lu YQ, Zhang M, Yang XG, Lu SS, Lu KH. Flow cytometric and near-infrared Raman spectroscopic investigation of quality in stained, sorted, and frozen-thawed buffalo sperm. Anim Reprod Sci 2016; 170:90-9. [PMID: 27095613 DOI: 10.1016/j.anireprosci.2016.04.008] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2015] [Revised: 04/06/2016] [Accepted: 04/08/2016] [Indexed: 10/22/2022]
Abstract
Flow cytometry and Laser Tweezers Raman spectroscopy have been used to investigate Nili-Ravi buffalo (Bubalus bubalis) sperm from different samples (fresh, stained, sorted and frozen-thawed) of the flow-sorting process to optimize sperm sex sorting procedures. During the sorting and freezing-thawing processes, the two detection methods both indicated there were differences in mitochondrial activity and membrane integrity. Moreover, a dispersive-type NIR (Near Infrared Reflection) use of the Raman system resulted in the ability to detect a variety of sperm components, including relative DNA, lipid, carbohydrates and protein contents. The use of the Raman system allowed for PCA (principal components analysis) and DFA (discriminant function analysis) of fresh, stained, sorted and frozen-thawed sperm. The methodology, therefore, allows for distinguishing sperm from different samples (fresh, stained, sorted and frozen-thawed), and demonstrated the great discriminative power of ANN (artificial neural network) classification models for the differentiating sperm from different phases of the flow-sorting process. In conclusion, the damage induced by sperm sorting and freezing-thawing procedures can be quantified, and in the present research it is demonstrated that Raman spectroscopy is a valuable technology for assessing sperm quality.
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Affiliation(s)
- Xiao-Xia Li
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-bioresources, Guangxi High Education Key Laboratory for Animal Reproduction and Biotechnology, Guangxi University, Nanning, Guangxi 530004, PR China; College of Animal Science and Technology, Henan University of Science and Technology, Luoyang, Henan 471003, PR China
| | - Meng Wang
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-bioresources, Guangxi High Education Key Laboratory for Animal Reproduction and Biotechnology, Guangxi University, Nanning, Guangxi 530004, PR China
| | - Huan-Hua Chen
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-bioresources, Guangxi High Education Key Laboratory for Animal Reproduction and Biotechnology, Guangxi University, Nanning, Guangxi 530004, PR China
| | - Qing-Yang Li
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-bioresources, Guangxi High Education Key Laboratory for Animal Reproduction and Biotechnology, Guangxi University, Nanning, Guangxi 530004, PR China
| | - Huan Yang
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-bioresources, Guangxi High Education Key Laboratory for Animal Reproduction and Biotechnology, Guangxi University, Nanning, Guangxi 530004, PR China
| | - Hui-Yan Xu
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-bioresources, Guangxi High Education Key Laboratory for Animal Reproduction and Biotechnology, Guangxi University, Nanning, Guangxi 530004, PR China
| | - Yang-Qing Lu
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-bioresources, Guangxi High Education Key Laboratory for Animal Reproduction and Biotechnology, Guangxi University, Nanning, Guangxi 530004, PR China
| | - Ming Zhang
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-bioresources, Guangxi High Education Key Laboratory for Animal Reproduction and Biotechnology, Guangxi University, Nanning, Guangxi 530004, PR China
| | - Xiao-Gan Yang
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-bioresources, Guangxi High Education Key Laboratory for Animal Reproduction and Biotechnology, Guangxi University, Nanning, Guangxi 530004, PR China.
| | - Sheng-Sheng Lu
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-bioresources, Guangxi High Education Key Laboratory for Animal Reproduction and Biotechnology, Guangxi University, Nanning, Guangxi 530004, PR China
| | - Ke-Huan Lu
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-bioresources, Guangxi High Education Key Laboratory for Animal Reproduction and Biotechnology, Guangxi University, Nanning, Guangxi 530004, PR China.
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34
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Butler HJ, Ashton L, Bird B, Cinque G, Curtis K, Dorney J, Esmonde-White K, Fullwood NJ, Gardner B, Martin-Hirsch PL, Walsh MJ, McAinsh MR, Stone N, Martin FL. Using Raman spectroscopy to characterize biological materials. Nat Protoc 2016; 11:664-87. [PMID: 26963630 DOI: 10.1038/nprot.2016.036] [Citation(s) in RCA: 671] [Impact Index Per Article: 74.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
Raman spectroscopy can be used to measure the chemical composition of a sample, which can in turn be used to extract biological information. Many materials have characteristic Raman spectra, which means that Raman spectroscopy has proven to be an effective analytical approach in geology, semiconductor, materials and polymer science fields. The application of Raman spectroscopy and microscopy within biology is rapidly increasing because it can provide chemical and compositional information, but it does not typically suffer from interference from water molecules. Analysis does not conventionally require extensive sample preparation; biochemical and structural information can usually be obtained without labeling. In this protocol, we aim to standardize and bring together multiple experimental approaches from key leaders in the field for obtaining Raman spectra using a microspectrometer. As examples of the range of biological samples that can be analyzed, we provide instructions for acquiring Raman spectra, maps and images for fresh plant tissue, formalin-fixed and fresh frozen mammalian tissue, fixed cells and biofluids. We explore a robust approach for sample preparation, instrumentation, acquisition parameters and data processing. By using this approach, we expect that a typical Raman experiment can be performed by a nonspecialist user to generate high-quality data for biological materials analysis.
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Affiliation(s)
- Holly J Butler
- Lancaster Environment Centre, Lancaster University, Lancaster, UK.,Centre for Global Eco-Innovation, Lancaster Environment Centre, Lancaster University, Lancaster, UK
| | - Lorna Ashton
- Department of Chemistry, Lancaster University, Lancaster, UK
| | | | - Gianfelice Cinque
- Diamond Light Source, Harwell Science and Innovation Campus, Chilton, Oxfordshire, UK
| | - Kelly Curtis
- Department of Biomedical Physics, Physics and Astronomy, University of Exeter, Exeter, UK
| | - Jennifer Dorney
- Department of Biomedical Physics, Physics and Astronomy, University of Exeter, Exeter, UK
| | - Karen Esmonde-White
- Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, Michigan, USA
| | - Nigel J Fullwood
- Department of Biomedical and Life Sciences, School of Health and Medicine, Lancaster University, Lancaster, UK
| | - Benjamin Gardner
- Department of Biomedical Physics, Physics and Astronomy, University of Exeter, Exeter, UK
| | - Pierre L Martin-Hirsch
- Lancaster Environment Centre, Lancaster University, Lancaster, UK.,School of Pharmacy and Biomedical Sciences, University of Central Lancashire, Preston, UK
| | - Michael J Walsh
- Department of Pathology, University of Illinois at Chicago, Chicago, Illinois, USA.,Department of Bioengineering, University of Illinois at Chicago, Chicago, Illinois, USA
| | - Martin R McAinsh
- Lancaster Environment Centre, Lancaster University, Lancaster, UK
| | - Nicholas Stone
- Biophotonics Research Unit, Gloucestershire Hospitals NHS Foundation Trust, Gloucester, UK
| | - Francis L Martin
- Lancaster Environment Centre, Lancaster University, Lancaster, UK
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35
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Stevens O, Iping Petterson IE, Day JCC, Stone N. Developing fibre optic Raman probes for applications in clinical spectroscopy. Chem Soc Rev 2016; 45:1919-34. [PMID: 26956027 DOI: 10.1039/c5cs00850f] [Citation(s) in RCA: 60] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
Raman spectroscopy has been shown by various groups over the last two decades to have significant capability in discriminating disease states in bodily fluids, cells and tissues. Recent development in instrumentation, optics and manufacturing approaches has facilitated the design and demonstration of various novel in vivo probes, which have applicability for myriad of applications. This review focusses on key considerations and recommendations for application specific clinical Raman probe design and construction. Raman probes can be utilised as clinical tools able to provide rapid, non-invasive, real-time molecular analysis of disease specific changes in tissues. Clearly the target tissue location, the significance of spectral changes with disease and the possible access routes to the region of interest will vary for each clinical application considered. This review provides insight into design and construction considerations, including suitable probe designs and manufacturing materials compatible with Raman spectroscopy.
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Affiliation(s)
- Oliver Stevens
- Biomedical Physics, School of Physics and Astronomy, University of Exeter, Exeter, Devon EX4 4QL, UK.
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36
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Osterberg EC, Laudano MA, Li PS. Clinical and investigative applications of Raman spectroscopy in Urology and Andrology. Transl Androl Urol 2016; 3:84-8. [PMID: 26816755 PMCID: PMC4708296 DOI: 10.3978/j.issn.2223-4683.2014.01.02] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/03/2022] Open
Abstract
Raman spectroscopy (RS) is an optical technique that allows for real-time interrogation of biologic tissues with chemical specificity. Using a diode laser, incident photons are scattered on the tissue of interest and the spectral wavelength output is a reflection of the tissues’ molecular fingerprint. Naturally, this technology has come into clinical usage to evaluate benign versus malignant tissue. Within the field of Urology, RS has seen tremendous growth as an optical biopsy tool for the real-time evaluation of diseases of the bladder, prostate, kidney, and testis. With such growing fervor for this emerging spectroscopic modality, we present a current summary of clinical studies utilizing RS within Urology and Andrology to highlight its potential applications.
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Affiliation(s)
- E Charles Osterberg
- Department of Urology, New York Presbyterian Hospital, Weill Cornell Medical College, New York, NY 10065, USA
| | - Melissa A Laudano
- Department of Urology, New York Presbyterian Hospital, Weill Cornell Medical College, New York, NY 10065, USA
| | - Philip S Li
- Department of Urology, New York Presbyterian Hospital, Weill Cornell Medical College, New York, NY 10065, USA
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37
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Li S, Li L, Zeng Q, Zhang Y, Guo Z, Liu Z, Jin M, Su C, Lin L, Xu J, Liu S. Characterization and noninvasive diagnosis of bladder cancer with serum surface enhanced Raman spectroscopy and genetic algorithms. Sci Rep 2015; 5:9582. [PMID: 25947114 PMCID: PMC4423238 DOI: 10.1038/srep09582] [Citation(s) in RCA: 52] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2014] [Accepted: 03/04/2015] [Indexed: 12/15/2022] Open
Abstract
This study aims to characterize and classify serum surface-enhanced Raman spectroscopy (SERS) spectra between bladder cancer patients and normal volunteers by genetic algorithms (GAs) combined with linear discriminate analysis (LDA). Two group serum SERS spectra excited with nanoparticles are collected from healthy volunteers (n = 36) and bladder cancer patients (n = 55). Six diagnostic Raman bands in the regions of 481-486, 682-687, 1018-1034, 1313-1323, 1450-1459 and 1582-1587 cm(-1) related to proteins, nucleic acids and lipids are picked out with the GAs and LDA. By the diagnostic models built with the identified six Raman bands, the improved diagnostic sensitivity of 90.9% and specificity of 100% were acquired for classifying bladder cancer patients from normal serum SERS spectra. The results are superior to the sensitivity of 74.6% and specificity of 97.2% obtained with principal component analysis by the same serum SERS spectra dataset. Receiver operating characteristic (ROC) curves further confirmed the efficiency of diagnostic algorithm based on GA-LDA technique. This exploratory work demonstrates that the serum SERS associated with GA-LDA technique has enormous potential to characterize and non-invasively detect bladder cancer through peripheral blood.
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Affiliation(s)
- Shaoxin Li
- Biomedical Engineering Laboratory, School of Information Engineering, Guangdong Medical College, Dongguan 523808, Guangdong, China
| | - Linfang Li
- State Key Laboratory of Oncology in South China and Department of Clinical Laboratory, Sun Yat-sen University Cancer Center, Guangzhou, 510060, China
| | - Qiuyao Zeng
- State Key Laboratory of Oncology in South China and Department of Clinical Laboratory, Sun Yat-sen University Cancer Center, Guangzhou, 510060, China
| | - Yanjiao Zhang
- School of Basic Medicine, Guangdong Medical College, Dongguan 523808, Guangdong, China
| | - Zhouyi Guo
- MOE Key Laboratory of Laser Life Science & SATCM Third Grade Laboratory of Chinese Medicine and Photonics Technology, College of Biophotonics, South China Normal University, Guangzhou 510631, China
| | - Zhiming Liu
- MOE Key Laboratory of Laser Life Science & SATCM Third Grade Laboratory of Chinese Medicine and Photonics Technology, College of Biophotonics, South China Normal University, Guangzhou 510631, China
| | - Mei Jin
- MOE Key Laboratory of Laser Life Science & SATCM Third Grade Laboratory of Chinese Medicine and Photonics Technology, College of Biophotonics, South China Normal University, Guangzhou 510631, China
| | - Chengkang Su
- MOE Key Laboratory of Laser Life Science & SATCM Third Grade Laboratory of Chinese Medicine and Photonics Technology, College of Biophotonics, South China Normal University, Guangzhou 510631, China
| | - Lin Lin
- Biomedical Engineering Laboratory, School of Information Engineering, Guangdong Medical College, Dongguan 523808, Guangdong, China
| | - Junfa Xu
- Guangdong Provincial Key Laboratory of Medical Molecular Diagnostics, No. 1 Xincheng Road, Dongguan 523808, China
| | - Songhao Liu
- MOE Key Laboratory of Laser Life Science & SATCM Third Grade Laboratory of Chinese Medicine and Photonics Technology, College of Biophotonics, South China Normal University, Guangzhou 510631, China
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38
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Zlatev DV, Altobelli E, Liao JC. Advances in imaging technologies in the evaluation of high-grade bladder cancer. Urol Clin North Am 2015; 42:147-57, vii. [PMID: 25882557 DOI: 10.1016/j.ucl.2015.01.001] [Citation(s) in RCA: 29] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/02/2023]
Abstract
Bladder cancer ranges from a low-grade variant to high-grade disease. Assessment for treatment depends on white light cystoscopy, however because of its limitations there is a need for improved visualization of flat, multifocal, high-grade, and muscle-invasive lesions. Photodynamic diagnosis and narrow-band imaging provide additional contrast enhancement of bladder tumors and have been shown to improve detection rates. Confocal laser endomicroscopy and optical coherence tomography enable real-time, high-resolution, subsurface tissue characterization with spatial resolutions similar to histology. Molecular imaging offers the potential for the combination of optical imaging technologies with cancer-specific molecular agents to improve the specificity of disease detection.
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Affiliation(s)
- Dimitar V Zlatev
- Department of Urology, Stanford University School of Medicine, 300 Pasteur Drive, Room S-287, Stanford, CA 94305-5118, USA
| | - Emanuela Altobelli
- Department of Urology, Stanford University School of Medicine, 300 Pasteur Drive, Room S-287, Stanford, CA 94305-5118, USA; Department of Urology, Campus Biomedico, Via Alvaro del Portillo 200, Rome 00128, Italy
| | - Joseph C Liao
- Department of Urology, Stanford University School of Medicine, 300 Pasteur Drive, Room S-287, Stanford, CA 94305-5118, USA; Urology Section, Veterans Affairs Palo Alto Health Care System, 3801 Miranda Avenue, Palo Alto, CA 94304, USA.
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Miernik A, Eilers Y, Nuese C, Bolwien C, Lambrecht A, Hesse A, Rassweiler JJ, Schlager D, Wilhelm K, Wetterauer U, Schoenthaler M. Is in vivo analysis of urinary stone composition feasible? Evaluation of an experimental setup of a Raman system coupled to commercial lithotripsy laser fibers. World J Urol 2015; 33:1593-9. [DOI: 10.1007/s00345-014-1477-0] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2014] [Accepted: 12/29/2014] [Indexed: 12/13/2022] Open
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Devpura S, Barton KN, Brown SL, Palyvoda O, Kalkanis S, Naik VM, Siddiqui F, Naik R, Chetty IJ. Vision 20/20: the role of Raman spectroscopy in early stage cancer detection and feasibility for application in radiation therapy response assessment. Med Phys 2014; 41:050901. [PMID: 24784365 DOI: 10.1118/1.4870981] [Citation(s) in RCA: 38] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022] Open
Abstract
Raman spectroscopy is an optical technique capable of identifying chemical constituents of a sample by their unique set of molecular vibrations. Research on the applicability of Raman spectroscopy in the differentiation of cancerous versus normal tissues has been ongoing for many years, and has yielded successful results in the context of prostate, breast, brain, skin, and head and neck cancers as well as pediatric tumors. Recently, much effort has been invested on developing noninvasive "Raman" probes to provide real-time diagnosis of potentially cancerous tumors. In this regard, it is feasible that the Raman technique might one day be used to provide rapid, minimally invasive real-time diagnosis of tumors in patients. Raman spectroscopy is relatively new to the field of radiation therapy. Recent work involving cell lines has shown that the Raman technique is able to identify proteins and other markers affected by radiation therapy. Although this work is preliminary, one could ask whether or not the Raman technique might be used to identify molecular markers that predict radiation response. This paper provides a brief review of Raman spectroscopic investigations in cancer detection, benefits and limitations of this method, advances in instrument development, and also preliminary studies related to the application of this technology in radiation therapy response assessment.
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Affiliation(s)
- Suneetha Devpura
- Department of Radiation Oncology, Henry Ford Hospital, Detroit, Michigan 48202
| | - Kenneth N Barton
- Department of Radiation Oncology, Henry Ford Hospital, Detroit, Michigan 48202
| | - Stephen L Brown
- Department of Radiation Oncology, Henry Ford Hospital, Detroit, Michigan 48202
| | - Olena Palyvoda
- College of Engineering, Wayne State University, Detroit, Michigan 48202
| | - Steven Kalkanis
- Department of Neurosurgery, Henry Ford Hospital, Detroit, Michigan 48202
| | - Vaman M Naik
- Department of Natural Sciences, University of Michigan-Dearborn, Dearborn, Michigan 48128
| | - Farzan Siddiqui
- Department of Radiation Oncology, Henry Ford Hospital, Detroit, Michigan 48202
| | - Ratna Naik
- Department of Physics and Astronomy, Wayne State University, Detroit, Michigan 48201
| | - Indrin J Chetty
- Department of Radiation Oncology, Henry Ford Hospital, Detroit, Michigan 48202
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Abstract
Modern urologic endoscopy is the result of continuous innovations since the early nineteenth century. White-light cystoscopy is the primary strategy for identification, resection, and local staging of bladder cancer. While highly effective, white light cystoscopy has several well-recognized shortcomings. Recent advances in optical imaging technologies and device miniaturization hold the potential to improve bladder cancer diagnosis and resection. Photodynamic diagnosis and narrow band imaging are the first to enter the clinical arena. Confocal laser endomicroscopy, optical coherence tomography, Raman spectroscopy, UV autofluorescence, and others have shown promising clinical and pre-clinical feasibility. We review their mechanisms of action, highlight their respective advantages, and propose future directions.
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Affiliation(s)
- Aristeo Lopez
- Department of Urology, Stanford University School of Medicine, 300 Pasteur Dr., Room S-387, Stanford, CA, 94305-5118, USA
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McAughtrie S, Faulds K, Graham D. Surface enhanced Raman spectroscopy (SERS): Potential applications for disease detection and treatment. JOURNAL OF PHOTOCHEMISTRY AND PHOTOBIOLOGY C-PHOTOCHEMISTRY REVIEWS 2014. [DOI: 10.1016/j.jphotochemrev.2014.09.002] [Citation(s) in RCA: 42] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
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43
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Canetta E, Riches A, Borger E, Herrington S, Dholakia K, Adya AK. Discrimination of bladder cancer cells from normal urothelial cells with high specificity and sensitivity: combined application of atomic force microscopy and modulated Raman spectroscopy. Acta Biomater 2014; 10:2043-55. [PMID: 24406196 DOI: 10.1016/j.actbio.2013.12.057] [Citation(s) in RCA: 50] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2013] [Revised: 11/29/2013] [Accepted: 12/27/2013] [Indexed: 01/07/2023]
Abstract
Atomic force microscopy (AFM) and modulated Raman spectroscopy (MRS) were used to discriminate between living normal human urothelial cells (SV-HUC-1) and bladder tumour cells (MGH-U1) with high specificity and sensitivity. MGH-U1 cells were 1.5-fold smaller, 1.7-fold thicker and 1.4-fold rougher than normal SV-HUC-1 cells. The adhesion energy was 2.6-fold higher in the MGH-U1 cells compared to normal SV-HUC-1 cells, which possibly indicates that bladder tumour cells are more deformable than normal cells. The elastic modulus of MGH-U1 cells was 12-fold lower than SV-HUC-1 cells, suggesting a higher elasticity of the bladder cancer cell membranes. The biochemical fingerprints of cancer cells displayed a higher DNA and lipid content, probably due to an increase in the nuclear to cytoplasm ratio. Normal cells were characterized by higher protein contents. AFM studies revealed a decrease in the lateral dimensions and an increase in thickness of cancer cells compared to normal cells; these studies authenticate the observations from MRS. Nanostructural, nanomechanical and biochemical profiles of bladder cells provide qualitative and quantitative markers to differentiate between normal and cancerous cells at the single cellular level. AFM and MRS allow discrimination between adhesion energy, elasticity and Raman spectra of SV-HUC-1 and MGH-U1 cells with high specificity (83, 98 and 95%) and sensitivity (97, 93 and 98%). Such single-cell-level studies could have a pivotal impact on the development of AFM-Raman combined methodologies for cancer profiling and screening with translational significance.
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Affiliation(s)
- Elisabetta Canetta
- School of Science, Engineering and Technology, Abertay University, Bell Street, Dundee DD1 1HG, UK; School of Physics and Astronomy, University of St Andrews, North Haugh, Fife KY16 9SS, UK
| | - Andrew Riches
- School of Medicine, University of St Andrews, St Andrews, Fife KY16 9TF, UK
| | - Eva Borger
- School of Biology, University of St Andrews, St Andrews, Fife KY16 9TF, UK
| | - Simon Herrington
- School of Medicine, University of St Andrews, St Andrews, Fife KY16 9TF, UK
| | - Kishan Dholakia
- School of Physics and Astronomy, University of St Andrews, North Haugh, Fife KY16 9SS, UK
| | - Ashok K Adya
- School of Science, Engineering and Technology, Abertay University, Bell Street, Dundee DD1 1HG, UK.
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44
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Agenant M, Grimbergen M, Draga R, Marple E, Bosch R, van Swol C. Clinical superficial Raman probe aimed for epithelial tumor detection: Phantom model results. BIOMEDICAL OPTICS EXPRESS 2014; 5:1203-16. [PMID: 24761301 PMCID: PMC3985982 DOI: 10.1364/boe.5.001203] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/28/2014] [Revised: 03/10/2014] [Accepted: 03/10/2014] [Indexed: 05/04/2023]
Abstract
A novel clinical Raman probe for sampling superficial tissue to improve in vivo detection of epithelial malignancies is compared to a non-superficial probe regarding depth response function and signal-to-noise ratio. Depth response measurements were performed in a phantom tissue model consisting of a polyethylene terephthalate disc in an 20%-Intralipid(®) solution. Sampling ranges of 0-200 and 0-300 μm were obtained for the superficial and non-superficial probe, respectively. The mean signal-to-noise ratio of the superficial probe increased by a factor of 2 compared with the non-superficial probe. This newly developed superficial Raman probe is expected to improve epithelial cancer detection in vivo.
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Affiliation(s)
- Michelle Agenant
- Department of Medical Physics & Instrumentation, St. Antonius Hospital, PO Box 2500, 3430 EM Nieuwegein, The Netherlands
- Department of Urology, University Medical Center Utrecht, Heidelberglaan 100, 3584 CX Utrecht, The Netherlands
| | - Matthijs Grimbergen
- Department of Medical Physics & Instrumentation, St. Antonius Hospital, PO Box 2500, 3430 EM Nieuwegein, The Netherlands
| | - Ronald Draga
- Department of Urology, University Medical Center Utrecht, Heidelberglaan 100, 3584 CX Utrecht, The Netherlands
| | - Eric Marple
- EmVision LLC, 1471 F Road, Loxahatchee, Florida 33470, USA
| | - Ruud Bosch
- Department of Urology, University Medical Center Utrecht, Heidelberglaan 100, 3584 CX Utrecht, The Netherlands
| | - Christiaan van Swol
- Department of Medical Physics & Instrumentation, St. Antonius Hospital, PO Box 2500, 3430 EM Nieuwegein, The Netherlands
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45
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Discrimination of prostate carcinoma from benign prostate tissue fragments in vitro by estimating the gross biochemical alterations through Raman spectroscopy. Lasers Med Sci 2014; 29:1469-77. [PMID: 24619139 DOI: 10.1007/s10103-014-1550-3] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2013] [Accepted: 02/10/2014] [Indexed: 10/25/2022]
Abstract
Raman spectroscopy has been proposed for detecting biochemical alterations in prostate cancer (PrCa) compared to benign prostate tissue in in vitro fragments from surgery for diagnostic purposes. Freezer-stored fragments of human prostate tissues were unfrozen and submitted to Raman spectroscopy with a dispersive spectrometer (830-nm and 200-mW laser parameters, 30-s exposure time). Fragments were fixed and submitted to histopathology to grade PrCa according to Gleason score. A total of 160 spectra were taken from 32 samples (16 benign tissues and 16 PrCa tissues). The relative concentrations of selected biochemicals were estimated using a least-squares fitting model applied to the spectra of pure compounds and the tissue spectrum. A discrimination model was developed employing the most statistically relevant compounds with capability of separating PrCa from benign tissues. The fitting model revealed that actin, hemoglobin, elastin, phosphatidylcholine, and water are the most important biochemicals to discriminate prostate depending on the Gleason score. A discrimination based on Euclidean distance using the relative concentrations of phosphatidylcholine and water showed the higher accuracy of 74 % to discriminate PrCa from benign tissue. Raman spectroscopy is an analytical technique with possibility for identifying biochemical constitution of prostate and could be used for diagnostic purposes.
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Osterberg EC, Laudano MA, Ramasamy R, Sterling J, Robinson BD, Goldstein M, Li PS, Haka AS, Schlegel PN. Identification of spermatogenesis in a rat sertoli-cell only model using Raman spectroscopy: a feasibility study. J Urol 2014; 192:607-12. [PMID: 24518766 DOI: 10.1016/j.juro.2014.01.106] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/30/2014] [Indexed: 10/25/2022]
Abstract
PURPOSE We determined whether Raman spectroscopy could identify spermatogenesis in a Sertoli-cell only rat model. MATERIALS AND METHODS A partial Sertoli-cell only model was created using a testicular hypothermia-ischemia technique. Bilateral testis biopsy was performed in 4 rats. Raman spectra were acquired with a probe in 1 mm3 samples of testicular tissue. India ink was used to mark the site of spectral acquisition. Comparative histopathology was applied to verify whether Raman spectra were obtained from Sertoli-cell only tubules or seminiferous tubules with spermatogenesis. Principal component analysis and logistic regression were used to develop a mathematical model to evaluate the predictive accuracy of identifying tubules with spermatogenesis vs Sertoli-cell only tubules. RESULTS Raman peak intensity changes were noted at 1,000 and 1,690 cm(-1) for tubules with spermatogenesis and Sertoli-cell only tubules, respectively. When principal components were used to predict whether seminferous tubules were Sertoli-cell only tubules or showed spermatogenesis, sensitivity and specificity were 96% and 100%, respectively. The ROC AUC to predict tubules with spermatogenesis with Raman spectroscopy was 0.98. CONCLUSIONS Raman spectroscopy is capable of identifying seminiferous tubules with spermatogenesis in a Sertoli-cell only ex vivo rat model. Future ex vivo studies of human testicular tissue are necessary to confirm whether these findings can be translated to the clinical setting.
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Affiliation(s)
- E Charles Osterberg
- Department of Urology, New York Presbyterian Hospital, Weill Cornell Medical College, New York, New York
| | - Melissa A Laudano
- Department of Urology, New York Presbyterian Hospital, Weill Cornell Medical College, New York, New York
| | - Ranjith Ramasamy
- Department of Urology, New York Presbyterian Hospital, Weill Cornell Medical College, New York, New York
| | - Joshua Sterling
- Department of Biochemistry, Weill Cornell Medical College, New York, New York
| | - Brian D Robinson
- Department of Pathology, New York Presbyterian Hospital, Weill Cornell Medical College, New York, New York
| | - Marc Goldstein
- Department of Urology, New York Presbyterian Hospital, Weill Cornell Medical College, New York, New York
| | - Philip S Li
- Department of Urology, New York Presbyterian Hospital, Weill Cornell Medical College, New York, New York
| | - Abigail S Haka
- Department of Biochemistry, Weill Cornell Medical College, New York, New York
| | - Peter N Schlegel
- Department of Urology, New York Presbyterian Hospital, Weill Cornell Medical College, New York, New York.
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47
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Kerr LT, Domijan K, Cullen I, Hennelly BM. Applications of Raman spectroscopy to the urinary bladder for cancer diagnostics. ACTA ACUST UNITED AC 2014. [DOI: 10.1515/plm-2014-0004] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
AbstractBiomolecular changes associated with cancer progression can be identified using Raman spectroscopy, allowing for this technique to be utilized as a non-invasive tool for the diagnosis of bladder cancer. Applications of Raman spectroscopy for diagnostics in real-time have consistently produced higher sensitivities and specificities than current clinical methods. This technique can be applied
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48
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Kallaway C, Almond LM, Barr H, Wood J, Hutchings J, Kendall C, Stone N. Advances in the clinical application of Raman spectroscopy for cancer diagnostics. Photodiagnosis Photodyn Ther 2013; 10:207-19. [PMID: 23993846 DOI: 10.1016/j.pdpdt.2013.01.008] [Citation(s) in RCA: 97] [Impact Index Per Article: 8.1] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2012] [Revised: 01/26/2013] [Accepted: 01/30/2013] [Indexed: 12/20/2022]
Abstract
Light interacts with tissue in a number of ways including, elastic and inelastic scattering, reflection and absorption, leading to fluorescence and phosphorescence. These interactions can be used to measure abnormal changes in tissue. Initial optical biopsy systems have potential to be used as an adjunct to current investigative techniques to improve the targeting of blind biopsy. Future prospects with molecular-specific techniques may enable objective optical detection providing a real-time, highly sensitive and specific measurement of the histological state of the tissue. Raman spectroscopy has the potential to identify markers associated with malignant change and could be used as diagnostic tool for the early detection of precancerous and cancerous lesions in vivo. The clinical requirements for an objective, non-invasive, real-time probe for the accurate and repeatable measurement of pathological state of the tissue are overwhelming. This paper discusses some of the recent advances in the field.
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Affiliation(s)
- Charlotte Kallaway
- Biophotonics Research Unit, Gloucestershire Hospitals NHS Foundation Trust, Great Western Road, Gloucester GL1 3NN, UK
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49
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Sommerauer M, Jocham D, Laturnus JM. [Non-muscle invasive transitional cell carcinoma of the bladder. New developments in diagnostics and therapy]. Urologe A 2012; 51:791-7. [PMID: 22618669 DOI: 10.1007/s00120-012-2897-3] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
Due to the high incidence and recurrence rate non-muscle invasive bladder cancer (NMIBC) has a relevant impact. Raman spectroscopy and optical coherence tomography represent innovative diagnostic tools. Urine markers still play a minor role in the diagnostics of NMIBC. New therapeutic options are thermochemotherapy and mitomycin-C electromotive drug administration (MMC-EMDA) as well as gemcitabine and apaziquone for intravesical administration.
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Affiliation(s)
- M Sommerauer
- Klinik und Poliklinik für Urologie, UK-SH Campus Lübeck, Ratzeburgerallee 160, 23568 Lübeck.
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50
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Barman I, Dingari NC, Singh GP, Kumar R, Lang S, Nabi G. Selective sampling using confocal Raman spectroscopy provides enhanced specificity for urinary bladder cancer diagnosis. Anal Bioanal Chem 2012; 404:3091-9. [DOI: 10.1007/s00216-012-6424-6] [Citation(s) in RCA: 44] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2012] [Revised: 08/25/2012] [Accepted: 09/13/2012] [Indexed: 11/29/2022]
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