Lifetime determination algorithms for time-domain fluorescence lifetime imaging : a review

Li, Yahui and Liu, Lixin and Xiao, Dong and Li, Hang and Sapermsap, Natakorn and Tian, Jinshou and Chen, Yu and Li, David Day-Uei; Papadakis, Raffaello, ed. (2023) Lifetime determination algorithms for time-domain fluorescence lifetime imaging : a review. In: Fluorescence Imaging. INTECHopen. ISBN 9781803551852 (https://doi.org/10.5772/intechopen.106423)

[thumbnail of Li-etal-IntechOpen-2023-Lifetime-determination-algorithms-for-time-domain-fluorescence-lifetime-imaging]
Preview
 Text. Filename: Li-etal-IntechOpen-2023-Lifetime-determination-algorithms-for-time-domain-fluorescence-lifetime-imaging.pdf
Final Published Version
License: Creative Commons Attribution 3.0 logo
Download (1MB)| Preview

Abstract

Fluorescence lifetime imaging (FLIM) is powerful for monitoring cellular microenvironments, protein conformational changes, and protein interactions. It can facilitate metabolism research, drug screening, DNA sequencing, and cancer diagnosis. Lifetime determination algorithms (LDAs) adopted in FLIM analysis can influence biological interpretations and clinical diagnoses. Herein, we discuss the commonly used and advanced time-domain LDAs classified in fitting and non-fitting categories. The concept and explicit mathematical forms of LDAs are reviewed. The output lifetime parameter types are discussed, including lifetime components, average lifetimes, and graphic representation. We compare their performances, identify trends, and provide suggestions for end users in terms of multi-exponential decay unmixing ability, lifetime estimation precision, and processing speed.

CORE (COnnecting REpositories)