Deep Learning Automates the Quantitative Analysis of Individual Cells in Live-Cell Imaging Experiments

Live-cell imaging has opened an exciting window into the role cellular heterogeneity plays in dynamic, living systems. A major critical challenge for this class of experiments is the problem of image segmentation, or determining which parts of a microscope image correspond to which individual cells....

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Detalles Bibliográficos
Autores principales: Van Valen, David A., Kudo, Takamasa, Lane, Keara M., Macklin, Derek N., Quach, Nicolas T., DeFelice, Mialy M., Maayan, Inbal, Tanouchi, Yu, Ashley, Euan A., Covert, Markus W.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2016
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5096676/
https://www.ncbi.nlm.nih.gov/pubmed/27814364
http://dx.doi.org/10.1371/journal.pcbi.1005177

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5096676/
https://www.ncbi.nlm.nih.gov/pubmed/27814364
http://dx.doi.org/10.1371/journal.pcbi.1005177

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