Label-free cell cycle analysis for high-throughput imaging flow cytometry

Imaging flow cytometry enables high-throughput acquisition of fluorescence, brightfield and darkfield images of biological cells. Here, Blasi et al.demonstrate that applying machine learning algorithms on brightfield and darkfield images can detect cellular phenotypes without the need for fluorescen...

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Auteurs principaux: Thomas Blasi, Holger Hennig, Huw D. Summers, Fabian J. Theis, Joana Cerveira, James O. Patterson, Derek Davies, Andrew Filby, Anne E. Carpenter, Paul Rees
Format: article
Langue:EN
Publié: Nature Portfolio 2016
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Accès en ligne:https://doaj.org/article/64eccd9285fd45858c93a445b1345a3c
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