Estimating fluorescence lifetimes using the expectation-maximisation algorithm
Gao, Kai and Li, David Day-Uei (2018) Estimating fluorescence lifetimes using the expectation-maximisation algorithm. Electronics Letters, 54 (1). pp. 1-2. ISSN 0013-5194
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Abstract
The expectation-maximisation (EM) algorithm uses incomplete data to get the estimation of the probabilistic model parameter, and it has been widely used in machine learning. EM techniques are applied to estimate fluorescence lifetimes in time-correlated single-photon counting based fluorescence lifetime imaging experiments without measuring the instrument response functions. The results of Monte Carlo simulations indicate that the proposed approach can obtain better or comparable accuracy and precision performances than the previously reported method.
Creators(s): |
Gao, Kai and Li, David Day-Uei ![]() | Item type: | Article |
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ID code: | 64064 |
Notes: | This paper is a postprint of a paper submitted to and accepted for publication in Electronics Letters and is subject to Institution of Engineering and Technology Copyright. The copy of record is available at IET Digital Library. |
Keywords: | fluorescence, expectation-maximization algorithm, Monte Carlo simulations, Electrical engineering. Electronics Nuclear engineering, Electrical and Electronic Engineering |
Subjects: | Technology > Electrical engineering. Electronics Nuclear engineering |
Department: | Strategic Research Themes > Health and Wellbeing Faculty of Science > Strathclyde Institute of Pharmacy and Biomedical Sciences |
Depositing user: | Pure Administrator |
Date deposited: | 16 May 2018 12:58 |
Last modified: | 21 Jan 2021 10:04 |
Related URLs: | |
URI: | https://strathprints.strath.ac.uk/id/eprint/64064 |
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