Simple phasor-based deep neural network for fluorescence lifetime imaging microscopy

Fluorescence lifetime imaging microscopy (FLIM) is a powerful technique to probe the molecular environment of fluorophores. The analysis of FLIM images is usually performed with time consuming fitting methods. For accelerating this analysis, sophisticated deep learning architectures based on convolu...

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Detalles Bibliográficos
Autores principales: Héliot, Laurent, Leray, Aymeric
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8668934/
https://www.ncbi.nlm.nih.gov/pubmed/34903737
http://dx.doi.org/10.1038/s41598-021-03060-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8668934/
https://www.ncbi.nlm.nih.gov/pubmed/34903737
http://dx.doi.org/10.1038/s41598-021-03060-x

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