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...

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Detalles Bibliográficos
Autores principales: Hailstone, Martin, Waithe, Dominic, Samuels, Tamsin J, Yang, Lu, Costello, Ita, Arava, Yoav, Robertson, Elizabeth, Parton, Richard M, Davis, Ilan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: eLife Sciences Publications, Ltd 2020
Materias:
Cell Biology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7237217/
https://www.ncbi.nlm.nih.gov/pubmed/32423529
http://dx.doi.org/10.7554/eLife.51085

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7237217/
https://www.ncbi.nlm.nih.gov/pubmed/32423529
http://dx.doi.org/10.7554/eLife.51085

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