Article
CytoCensus, mapping cell identity and division in tissues and organs using machine learning.
eLife - 19 May 2020
Hailstone Martin, Waithe Dominic, Samuels Tamsin J, Yang Lu, Costello Ita, Arava Yoav, Robertson Elizabeth, Parton Richard M, Davis Ilan
Abstract excerpt
A major challenge in cell and developmental biology is the automated identification and quantitation of cells in complex multilayered tissues. We developed CytoCensus: an easily deployed implementation of supervised machine learning that extends convenient 2D 'point-and-click' user training to 3D detection of cells in challenging datasets with ill-defined cell boundaries. In tests on such datasets, CytoCensus...
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