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  4. Light-field tomographic fluorescence lifetime imaging microscopy (LIFT-FLIM)
 
conference paper

Light-field tomographic fluorescence lifetime imaging microscopy (LIFT-FLIM)

Ma, Yayao
•
Huang, Luzhe
•
Sen, Chandani
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Gao, Liang
•
Zheng, Guoan
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March 13, 2024
Computational Optical Imaging and Artificial Intelligence in Biomedical Sciences
Computational Optical Imaging and Artificial Intelligence in Biomedical Sciences

Fluorescence lifetime imaging microscopy (FLIM) measures fluorescence lifetimes of fluorescent probes to investigate molecular interactions. However, conventional FLIM systems often requires extensive scanning that is time-consuming. To address this challenge, we developed a novel computational imaging technique called light field tomographic FLIM (LIFT-FLIM). Our approach acquires volumetric fluorescence lifetime images in a highly data-efficient manner, significantly reducing the number of scanning steps. We demonstrated LIFT-FLIM using a single-photon avalanche diode array on various biological systems. Additionally, we expanded to spectral FLIM and demonstrated high-content multiplexed imaging of lung organoids. LIFT-FLIM can open new avenues in the biomedical research.

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Type
conference paper
DOI
10.1117/12.3002375
Author(s)
Ma, Yayao

University of California, Los Angeles

Huang, Luzhe

University of California, Los Angeles

Sen, Chandani

University of California, Los Angeles

Burri, Samuel  

École Polytechnique Fédérale de Lausanne

Bruschini, Claudio  

EPFL

Yang, Xilin

University of California, Los Angeles

Cameron, Robert B.

University of California, Los Angeles

Fishbein, Gregory A.

University of California, Los Angeles

Gomperts, Brigitte N.

University of California, Los Angeles

Özcan, Aydogan

University of California, Los Angeles

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Editors
Gao, Liang
•
Zheng, Guoan
•
Lee, Seung Ah
Date Issued

2024-03-13

Publisher

SPIE

Published in
Computational Optical Imaging and Artificial Intelligence in Biomedical Sciences
Series title/Series vol.

Proceedings SPIE; PC12857

Start page

46

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
AQUA  
Event nameEvent acronymEvent placeEvent date
Computational Optical Imaging and Artificial Intelligence in Biomedical Sciences

San Francisco, United States

2024-01-27 - 2024-02-01

Available on Infoscience
December 23, 2025
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/257281
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