Deep learning tools and modeling to estimate the temporal expression of cell cycle proteins from 2D still images

Automatic characterization of fluorescent labeling in intact mammalian tissues remains a challenge due to the lack of quantifying techniques capable of segregating densely packed nuclei and intricate tissue patterns. Here, we describe a powerful deep learning-based approach that couples remarkably p...

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Detalles Bibliográficos
Autores principales: Pécot, Thierry, Cuitiño, Maria C., Johnson, Roger H., Timmers, Cynthia, Leone, Gustavo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8947602/
https://www.ncbi.nlm.nih.gov/pubmed/35286300
http://dx.doi.org/10.1371/journal.pcbi.1009949

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8947602/
https://www.ncbi.nlm.nih.gov/pubmed/35286300
http://dx.doi.org/10.1371/journal.pcbi.1009949

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