Diagnostic Potential of Imaging Flow Cytometry
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Date
2018-07-01
Authors
Vorobyev, Ivan
Barteneva, Natasha S.
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Publisher
Nazarbayev University School of Sciences and Humanities
Abstract
Imaging flow cytometry (IFC) captures multichannel images of hundreds of thousands of single cells within minutes. IFC is seeing a paradigm shift from low- to high-information-content analysis, driven partly by deep learning algorithms. We predict a wealth of applications with potential translation into clinical practice.
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Citation
Doan, M., Vorobyev, I., Rees, P., Filby, A., Wolkenhauer, O., Goldfeld, A. E., ... Hennig, H. (2018). Diagnostic Potential of Imaging Flow Cytometry. Trends in Biotechnology, 36(7), 649-652. https://doi.org/10.1016/j.tibtech.2017.12.008