Estimating fluorescence lifetimes using the expectation-maximisation algorithm

Research output: Research - peer-reviewArticle

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.
Original languageEnglish
Pages (from-to)1-2
Number of pages2
JournalElectronics Letters
Volume54
Issue number1
DOIs
StatePublished - 11 Jan 2018

    Research areas

  • fluorescence, expectation-maximization algorithm, Monte Carlo simulations

Bibliographical note

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.

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