conference paper
Temporal Point Spread Function Deconvolution in Time-resolved Fluorescence Lifetime Imaging using Deep Learning Model
2024
Optical Tomography and Spectroscopy, OT and S 2024 in Proceedings Optica Biophotonics Congress: Biomedical Optics 2024, Translational, Microscopy, OCT, OTS, BRAIN - Part of Optica Biophotonics Congress: Biomedical Optics
We report a deep RNN model for temporal point spread function (TPSFs) deconvolution in multimodal imaging systems to extract true sample fluorescence decay rate. It’s performance has been validated in phantom and well-plate data.
Type
conference paper
Scopus ID
2-s2.0-85211730769
Author(s)
Pandey, Vikas
Rensselaer Polytechnic Institute
Erbas, Ismail
Rensselaer Polytechnic Institute
Michalet, Xavier
University of California, Los Angeles
École Polytechnique Fédérale de Lausanne
École Polytechnique Fédérale de Lausanne
École Polytechnique Fédérale de Lausanne
Intes, Xavier
Rensselaer Polytechnic Institute
Date Issued
2024
Publisher
Published in
Optical Tomography and Spectroscopy, OT and S 2024 in Proceedings Optica Biophotonics Congress: Biomedical Optics 2024, Translational, Microscopy, OCT, OTS, BRAIN - Part of Optica Biophotonics Congress: Biomedical Optics
ISBN of the book
9781957171340
Editorial or Peer reviewed
REVIEWED
Written at
EPFL
EPFL units
| Event name | Event acronym | Event place | Event date |
Fort Lauderdale, United States | 2024-04-07 - 2024-04-10 | ||
Available on Infoscience
January 26, 2025
Use this identifier to reference this record