Automated detection of apoptotic bodies and cells in label-free time-lapse high-throughput video microscopy using deep convolutional neural networks

MOTIVATION: Reliable label-free methods are needed for detecting and profiling apoptotic events in time-lapse cell–cell interaction assays. Prior studies relied on fluorescent markers of apoptosis, e.g. Annexin-V, that provide an inconsistent and late indication of apoptotic onset for human melanoma...

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Detalles Bibliográficos
Autores principales: Wu, Kwan-Ling, Martinez-Paniagua, Melisa, Reichel, Kate, Menon, Prashant S, Deo, Shravani, Roysam, Badrinath, Varadarajan, Navin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10563152/
https://www.ncbi.nlm.nih.gov/pubmed/37773981
http://dx.doi.org/10.1093/bioinformatics/btad584

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10563152/
https://www.ncbi.nlm.nih.gov/pubmed/37773981
http://dx.doi.org/10.1093/bioinformatics/btad584

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