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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...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Nature Publishing Group UK
2021
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| 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 |