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 (https://doi.org/10.1049/el.2017.3165)

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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.

ORCID iDs

Li, David Day-Uei ORCID: https://orcid.org/0000-0002-6401-4263

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  Item type:	Article
  ID code:	64064
  Dates:	Date Event 11 January 2018 Published 16 November 2017 Accepted
  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:	01 Aug 2023 00:18
  Related URLs:	Journal or Publication
  URI:	https://strathprints.strath.ac.uk/id/eprint/64064