Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
Conferences > NTM > 2019 > NM3C > NM3C.4
  • 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

Jason T. Smith, Nathan Un, Ruoyang Yao, Nattawut Sinsuebphon, Alena Rudkouskaya, Joseph Mazurkiewicz, Margarida Barroso, Pingkun Yan, and Xavier Intes

Not Accessible

Your library or personal account may give you access

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)

PDF Article
Select as filters
Select Topics Cancel
Top
       
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.
Privacy | Terms of Use