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 extracted from brightfield and the typically ignored darkfield… (More)
DOI: 10.1038/ncomms10256



Citations per Year

Citation Velocity: 56

Averaging 56 citations per year over the last 2 years.

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