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Fast fit-free analysis of fluorescence lifetime imaging via deep learning
Fluorescence lifetime imaging (FLI) provides unique quantitative information in biomedical and molecular biology studies but relies on complex data-fitting techniques to derive the quantities of interest. Herein, we propose a fit-free approach in FLI image formation that is based on deep learning (D...
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| I publikationen: | Proc Natl Acad Sci U S A |
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| Huvudupphovsmän: | , , , , , , , , |
| Materialtyp: | Artigo |
| Språk: | Inglês |
| Publicerad: |
National Academy of Sciences
2019
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| Ämnen: | |
| Länkar: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6883809/ https://ncbi.nlm.nih.gov/pubmed/31719196 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1073/pnas.1912707116 |
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