New open-source software for subcellular segmentation and analysis of spatiotemporal fluorescence signals using deep learning

Cellular imaging instrumentation advancements as well as readily available optogenetic and fluorescence sensors have yielded a profound need for fast, accurate, and standardized analysis. Deep-learning architectures have revolutionized the field of biomedical image analysis and have achieved state-o...

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Detalles Bibliográficos
Autores principales: Kamran, Sharif Amit, Hossain, Khondker Fariha, Moghnieh, Hussein, Riar, Sarah, Bartlett, Allison, Tavakkoli, Alireza, Sanders, Kenton M., Baker, Salah A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9095751/
https://www.ncbi.nlm.nih.gov/pubmed/35573197
http://dx.doi.org/10.1016/j.isci.2022.104277

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9095751/
https://www.ncbi.nlm.nih.gov/pubmed/35573197
http://dx.doi.org/10.1016/j.isci.2022.104277

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