NDLI: Fluorescence lifetime estimation method for incomplete decay

Content Provider	IET Digital Library
Author	Yu, Hongqi Li, David Day Uei
Abstract	A new incomplete decay signal model is proposed to describe the incomplete decay effects in a time-correlated single-photon counting based fluorescence lifetime imaging microscopy system. On the basis of this model, a MUltiple SIgnal Classification algorithm to correctly estimate fluorescence lifetimes even in the presence of incomplete decay effects is modified. Monte Carlo simulations were carried out to demonstrate the performances of the proposed approach, and the results show that the proposed method is insensitive to the laser pulse rate and has a larger lifetime dynamic range compared with previously reported approaches. To the authors’ knowledge, it is the first non-fitting method that can resolve all lifetime components individually of a multi-exponential decay suffering from incomplete decay effects.
Starting Page	1666
Ending Page	1668
Page Count	3
ISSN	00135194
Volume Number	51
e-ISSN	1350911X
Issue Number	Issue 21, Oct (2015)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/el/51/21
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/el.2015.2015
Journal	Electronics Letters
Publisher Date	2015-09-25
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Bolometers Detection of Radiation Fluorescence Lifetime Estimation Method Fluorescence Lifetime Imaging Microscopy System Fluorescence Spectroscopy Incomplete Decay Effect Incomplete Decay Signal Model Laser Pulse Rate Monte Carlo Method Monte Carlo Simulation Method Multiexponential Decay Multiple Signal Classification Algorithm Nonfitting Method Optical Spectroscopy And Spectrometers Photoelectric Cell Photometry And Radiometry Photon Counting Probability Theory Statistics Stochastic Linearised SCUC Submillimetre Wave Detection Time-correlated Single-photon Counting
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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