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Cited by in F6Publishing
For: Feng Y, Cheng Z, Chai H, He W, Huang L, Wang W. Neural network-enhanced real-time impedance flow cytometry for single-cell intrinsic characterization. Lab Chip 2021. [PMID: 34849522 DOI: 10.1039/d1lc00755f] [Cited by in Crossref: 10] [Cited by in F6Publishing: 6] [Article Influence: 10.0] [Reference Citation Analysis]
Number Citing Articles
1 Tang T, Liu X, Yuan Y, Kiya R, Zhang T, Yang Y, Suetsugu S, Yamazaki Y, Ota N, Yamamoto K, Kamikubo H, Tanaka Y, Li M, Hosokawa Y, Yalikun Y. Machine learning-based impedance system for real-time recognition of antibiotic-susceptible bacteria with parallel cytometry. Sensors and Actuators B: Chemical 2022. [DOI: 10.1016/j.snb.2022.132698] [Reference Citation Analysis]
2 Honrado C, Salahi A, Adair SJ, Moore JH, Bauer TW, Swami NS. Automated biophysical classification of apoptotic pancreatic cancer cell subpopulations by using machine learning approaches with impedance cytometry. Lab Chip 2022. [PMID: 35997278 DOI: 10.1039/d2lc00304j] [Reference Citation Analysis]
3 Sengul E, Sharbati P, Elitas M, Islam M, Korvink JG. Analysis of U87 glioma cells by dielectrophoresis. Electrophoresis 2022;43:1357-65. [PMID: 35366348 DOI: 10.1002/elps.202100374] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
4 Feng Y, Chai H, He W, Liang F, Cheng Z, Wang W. Impedance-Enabled Camera-Free Intrinsic Mechanical Cytometry. Small Methods 2022;:e2200325. [PMID: 35595712 DOI: 10.1002/smtd.202200325] [Reference Citation Analysis]
5 Zhang S, Wang Y, Yang C, Zhu J, Ye X, Wang W. On-chip circulating tumor cells isolation based on membrane filtration and immuno-magnetic bead clump capture. Nanotechnology and Precision Engineering 2022;5:013003. [DOI: 10.1063/10.0009560] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
6 Zhang Y, Lu M, Wu T, Chen K, Feng Y, Wang W, Li Y, Wei H. Delay-Spectral Focusing Dual-Comb Coherent Raman Spectroscopy for Rapid Detection in the High-Wavenumber Region. ACS Photonics 2022;9:1385-94. [DOI: 10.1021/acsphotonics.2c00136] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
7 Huang L, Zhang X, Feng Y, Liang F, Wang W. High content drug screening of primary cardiomyocytes based on microfluidics and real-time ultra-large-scale high-resolution imaging. Lab Chip 2021. [PMID: 34870652 DOI: 10.1039/d1lc00740h] [Cited by in Crossref: 3] [Cited by in F6Publishing: 2] [Article Influence: 3.0] [Reference Citation Analysis]