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  • Biophotonics Congress: Optics in the Life Sciences Congress 2019 (BODA,BRAIN,NTM,OMA,OMP)
  • OSA Technical Digest (Optica Publishing Group, 2019),
  • paper NM3C.4
  • https://doi.org/10.1364/NTM.2019.NM3C.4

Fluorescent Lifetime Imaging improved via Deep Learning

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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.

© 2019 The Author(s)

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