Vorobyev, IvanBarteneva, Natasha S.2019-11-012019-11-012018-07-01Doan, 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.2017.12.008https://doi.org/10.1016/j.tibtech.2017.12.008http://nur.nu.edu.kz/handle/123456789/4281Imaging 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.enAttribution-NonCommercial-ShareAlike 3.0 United StatesArticle