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  4. Real-Time Wide-Field Fluorescence Lifetime Imaging via Single-Snapshot Acquisition for Biomedical Applications
 
preprint

Real-Time Wide-Field Fluorescence Lifetime Imaging via Single-Snapshot Acquisition for Biomedical Applications

Pandey, Vikas
•
Millar, Euan
•
Erbas, Ismail
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April 22, 2025

Fluorescence lifetime imaging (FLI) is a powerful tool for investigating molecular processes, microenvironmental parameters, and molecular interactions across tissue to (sub-)cellular levels. Despite its established value in numerous biomedical applications, conventional FLI techniques are hindered by long acquisition times. This limitation restricts their use in real-time scenarios, such as monitoring fast biological processes, studying live organisms, and in environments that require rapid imaging and immediate inference, such as clinical image-guided interventions. Here, we present a novel FLI approach that combines a large-format time-gated SPAD array with dual-gate acquisition capability, alongside a rapid lifetime determination algorithm. This integration allows for real-time fluorescence lifetime estimation through single-snapshot acquisitions, eliminating the need for traditional, time-consuming time-resolved data collection. We demonstrate the scalability and versatility of this method by achieving real-time FLI across challenging biomedical applications, ranging from capturing fast neural dynamics at the microscopic scale, performing multimodal 3D volumetric FLI of tumor organoids at the mesoscopic scale, to macroscale FLI in both direct and highly scattering regimes. Furthermore, we validate its utility in fluorescence lifetime-guided surgical procedures using tissue-mimicking phantoms. Overall, this new methodology significantly enhances the temporal and spatial capabilities of FLI, opening the door to the assessment of fast dynamic biomedical signals. It also enables the seamless integration of FLI into clinical workflows, particularly in applications like fluorescence-guided surgery.

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Type
preprint
DOI
10.1101/2025.04.16.646646
Author(s)
Pandey, Vikas

University of Glasgow

Millar, Euan

University of Glasgow

Erbas, Ismail
Chavez, Luis
Radford, Jack

University of Glasgow

Crosbourne, Isaiah

Albany Medical College

Madhusudan, Mansa

University of Glasgow

Taylor, Gregor  

EPFL

Yuan, Nanxue
Bruschini, Claudio  

EPFL

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Date Issued

2025-04-22

Publisher

Cold Spring Harbor Laboratory

Written at

EPFL

EPFL units
AQUA  
FunderFunding(s)Grant NumberGrant URL

National Institutes of Health

R01-CA271371 ; R01-CA237267 ; R01-CA250636

https://ror.org/01cwqze88

Engineering and Physical Sciences Research Council

EP/T00097X/1 ; EP/T021020/1

Available on Infoscience
December 22, 2025
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/257232
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