Comment on 'A novel method for fast and robust estimation of fluorescence decay dynamics using constrained least-square deconvolution with Laguerre expansion'

Yongliang Zhang, David Day-Uei Li

Research output: Contribution to journalComment/debate

1 Citation (Scopus)

Abstract

This comment is to clarify that Poisson noise instead of Gaussian noise shall be included to assess the performances of least-squares deconvolution with Laguerre expansion (LSD-LE) for analysing fluorescence lifetime imaging (FLIM) data obtained from time-resolved systems. Moreover, we also corrected an equation in the paper. As the LSD-LE approach is rapid and has potential to be widely applied not only for diagnostic but for wider bioimaging applications, it is desirable to have precise noise models and equations.
LanguageEnglish
Pages1632-1636
Number of pages5
JournalPhysics in Medicine and Biology
Volume62
Issue number4
DOIs
Publication statusPublished - 1 Feb 2017

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Least-Squares Analysis
Noise
Fluorescence
fluorescence
expansion
Optical Imaging
decay
random noise
life (durability)

Keywords

  • Poisson noise
  • Gaussian noise
  • least-squares deconvolution
  • Laguerre expansion
  • fluorescence lifetime imaging
  • bioimaging
  • noise models

Cite this

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title = "Comment on 'A novel method for fast and robust estimation of fluorescence decay dynamics using constrained least-square deconvolution with Laguerre expansion'",
abstract = "This comment is to clarify that Poisson noise instead of Gaussian noise shall be included to assess the performances of least-squares deconvolution with Laguerre expansion (LSD-LE) for analysing fluorescence lifetime imaging (FLIM) data obtained from time-resolved systems. Moreover, we also corrected an equation in the paper. As the LSD-LE approach is rapid and has potential to be widely applied not only for diagnostic but for wider bioimaging applications, it is desirable to have precise noise models and equations.",
keywords = "Poisson noise, Gaussian noise, least-squares deconvolution, Laguerre expansion, fluorescence lifetime imaging, bioimaging, noise models",
author = "Yongliang Zhang and Li, {David Day-Uei}",
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doi = "10.1088/1361-6560/aa522f",
language = "English",
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T1 - Comment on 'A novel method for fast and robust estimation of fluorescence decay dynamics using constrained least-square deconvolution with Laguerre expansion'

AU - Zhang, Yongliang

AU - Li, David Day-Uei

PY - 2017/2/1

Y1 - 2017/2/1

N2 - This comment is to clarify that Poisson noise instead of Gaussian noise shall be included to assess the performances of least-squares deconvolution with Laguerre expansion (LSD-LE) for analysing fluorescence lifetime imaging (FLIM) data obtained from time-resolved systems. Moreover, we also corrected an equation in the paper. As the LSD-LE approach is rapid and has potential to be widely applied not only for diagnostic but for wider bioimaging applications, it is desirable to have precise noise models and equations.

AB - This comment is to clarify that Poisson noise instead of Gaussian noise shall be included to assess the performances of least-squares deconvolution with Laguerre expansion (LSD-LE) for analysing fluorescence lifetime imaging (FLIM) data obtained from time-resolved systems. Moreover, we also corrected an equation in the paper. As the LSD-LE approach is rapid and has potential to be widely applied not only for diagnostic but for wider bioimaging applications, it is desirable to have precise noise models and equations.

KW - Poisson noise

KW - Gaussian noise

KW - least-squares deconvolution

KW - Laguerre expansion

KW - fluorescence lifetime imaging

KW - bioimaging

KW - noise models

U2 - 10.1088/1361-6560/aa522f

DO - 10.1088/1361-6560/aa522f

M3 - Comment/debate

VL - 62

SP - 1632

EP - 1636

JO - Physics in Medicine and Biology

T2 - Physics in Medicine and Biology

JF - Physics in Medicine and Biology

SN - 0031-9155

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ER -