CytoCensus, mapping cell identity and division in tissues and organs using machine learning

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 de...

Full description

Bibliographic Details

Published in:	eLife
Main Authors:	Martin Hailstone, Dominic Waithe, Tamsin J Samuels, Lu Yang, Ita Costello, Yoav Arava, Elizabeth Robertson, Richard M Parton, Ilan Davis
Format:	Article
Language:	English
Published:	eLife Sciences Publications Ltd 2020-05-01
Subjects:	live imaging neural stem cells 4D image analysis ex vivo culture 3D cell detection
Online Access:	https://elifesciences.org/articles/51085