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)
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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.
ORCID iDs
Li, Yahui, Liu, Lixin, Xiao, Dong, Li, Hang, Sapermsap, Natakorn, Tian, Jinshou, Chen, Yu and Li, David Day-Uei ORCID: https://orcid.org/0000-0002-6401-4263; Papadakis, Raffaello-
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Item type: Book Section ID code: 87514 Dates: DateEvent22 November 2023Published21 August 2023Published OnlineSubjects: Medicine > Biomedical engineering. Electronics. Instrumentation Department: Faculty of Science > Strathclyde Institute of Pharmacy and Biomedical Sciences
Faculty of Science > Physics
Strategic Research Themes > Health and Wellbeing
Technology and Innovation Centre > Bionanotechnology
Faculty of Engineering > Biomedical EngineeringDepositing user: Pure Administrator Date deposited: 05 Dec 2023 12:20 Last modified: 16 Dec 2024 01:15 URI: https://strathprints.strath.ac.uk/id/eprint/87514