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- W2982163965 abstract "Herein, we present a novel workflow based on Deep Learning (DL) trained on synthetic data to quantify fluorescence lifetime imaging of experimental data across multiple microscopic and macroscopic applications with unprecedented accuracy and computational speed." @default.
- W2982163965 created "2019-11-01" @default.
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- W2982163965 date "2019-01-01" @default.
- W2982163965 modified "2023-09-23" @default.
- W2982163965 title "Fluorescent Lifetime Imaging improved via Deep Learning" @default.
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- W2982163965 doi "https://doi.org/10.1364/ntm.2019.nm3c.4" @default.
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