Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
  • Biophotonics Congress: Optics in the Life Sciences Congress 2019 (BODA,BRAIN,NTM,OMA,OMP)
  • The Optical Society (Optica Publishing Group, 2019),
  • paper NM3C.4
  • https://doi.org/10.1364/NTM.2019.NM3C.4

Fluorescent Lifetime Imaging improved via Deep Learning

Not Accessible

Your library or personal account may give you access


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
More Like This
Facilitating Hyperspectral Single Pixel Lifetime Imaging via deep-learning

M. Ochoa, R Yao, P. Yan, and X. Intes
OT3D.2 Optical Molecular Probes, Imaging and Drug Delivery (OMP) 2019

Data fusion for high resolution fluorescence lifetime imaging using deep learning.

Valentin Kapitany, Alex Turpin, Jamie Whitelaw, Ewan McGhee, Robert Insali, Laura Machesky, and Daniele Faccio
CW1B.4 Computational Optical Sensing and Imaging (COSI) 2020

Hyperspectral Lifetime Unmixing via Deep Learning

Jason T. Smith, Marien Ochoa, and Xavier Intes
SW1D.5 Optical Tomography and Spectroscopy (OTS) 2020


You do not have subscription access to this journal. Citation lists with outbound citation links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
Login to access Optica Member Subscription

Select as filters

Select Topics Cancel
© Copyright 2022 | Optica Publishing Group. All Rights Reserved