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Cited by in F6Publishing
For: Salahi A, Honrado C, Rane A, Caselli F, Swami NS. Modified Red Blood Cells as Multimodal Standards for Benchmarking Single-Cell Cytometry and Separation Based on Electrical Physiology. Anal Chem 2022. [PMID: 35107262 DOI: 10.1021/acs.analchem.1c04739] [Cited by in Crossref: 4] [Cited by in F6Publishing: 1] [Article Influence: 4.0] [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 Tang T, Liu X, Yuan Y, Zhang T, Kiya R, Yang Y, Suzuki K, Tanaka Y, Li M, Hosokawa Y, Yalikun Y. Assessment of the electrical penetration of cell membranes using four-frequency impedance cytometry. Microsyst Nanoeng 2022;8:68. [PMID: 35757522 DOI: 10.1038/s41378-022-00405-y] [Reference Citation Analysis]