Fluorescence lifetime extraction algorithm based on multiple signal classification

Hongqi Yu; David Day Uei Li

doi:10.1049/el.2014.3382

Fluorescence lifetime extraction algorithm based on multiple signal classification

Hongqi Yu, David Day Uei Li

Research output: Contribution to journal › Article › peer-review

3 Citations (Scopus)

147 Downloads (Pure)

Abstract

The multiple signal classification algorithm has been widely used in array signal processing for direction-of-arrival estimation. In this reported work, this algorithm has been applied, for the first time to our knowledge, to estimate fluorescence lifetimes for fluorescence lifetime imaging microscopy. Monte Carlo simulations were carried out to test its performance compared with the previously reported integral equation method, the centre-of-mass method and the phasor method. Simulation results show that the multiple signal classification algorithm can achieve comparable or better results than the others. More importantly, it can easily resolve multi-exponential decays.

Original language	English
Pages (from-to)	81-83
Number of pages	3
Journal	Electronics Letters
Volume	51
Issue number	1
Early online date	19 Dec 2014
DOIs	https://doi.org/10.1049/el.2014.3382
Publication status	Published - 8 Jan 2015

Keywords

optical microscopy
image classification
fluorescence
Monte Carlo methods
multiple signal classification algorithm
fluorescence lifetime imaging microscopy

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10.1049/el.2014.3382

Yu-Li-EL-2015-A-fluorescence-lifetime-extraction-algorithmAccepted author manuscript, 145 KB

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1 Finished

Global Engagements: David Li National University of Defence Technology
Li, D.
21/08/14 → 20/08/15
Project: Internally funded project

Cite this

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title = "Fluorescence lifetime extraction algorithm based on multiple signal classification",

abstract = "The multiple signal classification algorithm has been widely used in array signal processing for direction-of-arrival estimation. In this reported work, this algorithm has been applied, for the first time to our knowledge, to estimate fluorescence lifetimes for fluorescence lifetime imaging microscopy. Monte Carlo simulations were carried out to test its performance compared with the previously reported integral equation method, the centre-of-mass method and the phasor method. Simulation results show that the multiple signal classification algorithm can achieve comparable or better results than the others. More importantly, it can easily resolve multi-exponential decays.",

keywords = "optical microscopy, image classification, fluorescence, Monte Carlo methods, multiple signal classification algorithm, fluorescence lifetime imaging microscopy",

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PY - 2015/1/8

Y1 - 2015/1/8

N2 - The multiple signal classification algorithm has been widely used in array signal processing for direction-of-arrival estimation. In this reported work, this algorithm has been applied, for the first time to our knowledge, to estimate fluorescence lifetimes for fluorescence lifetime imaging microscopy. Monte Carlo simulations were carried out to test its performance compared with the previously reported integral equation method, the centre-of-mass method and the phasor method. Simulation results show that the multiple signal classification algorithm can achieve comparable or better results than the others. More importantly, it can easily resolve multi-exponential decays.

AB - The multiple signal classification algorithm has been widely used in array signal processing for direction-of-arrival estimation. In this reported work, this algorithm has been applied, for the first time to our knowledge, to estimate fluorescence lifetimes for fluorescence lifetime imaging microscopy. Monte Carlo simulations were carried out to test its performance compared with the previously reported integral equation method, the centre-of-mass method and the phasor method. Simulation results show that the multiple signal classification algorithm can achieve comparable or better results than the others. More importantly, it can easily resolve multi-exponential decays.

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KW - fluorescence

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Fluorescence lifetime extraction algorithm based on multiple signal classification

Abstract

Keywords

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Global Engagements: David Li National University of Defence Technology

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