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

Imaging flow cytometry combines the high-throughput capabilities of conventional flow cytometry with single-cell imaging. Here we demonstrate label-free prediction of DNA content and quantification of the mitotic cell cycle phases by applying supervised machine learning to morphological features ext...

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Detalles Bibliográficos
Autores principales: Blasi, Thomas, Hennig, Holger, Summers, Huw D., Theis, Fabian J., Cerveira, Joana, Patterson, James O., Davies, Derek, Filby, Andrew, Carpenter, Anne E., Rees, Paul
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2016
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4729834/
https://www.ncbi.nlm.nih.gov/pubmed/26739115
http://dx.doi.org/10.1038/ncomms10256

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4729834/
https://www.ncbi.nlm.nih.gov/pubmed/26739115
http://dx.doi.org/10.1038/ncomms10256

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