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Developing and Testing a Bayesian Analysis of Fluorescence Lifetime Measurements

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  • Bryan Kaye
  • Peter J Foster
  • Tae Yeon Yoo
  • Daniel J Needleman

Abstract

FRET measurements can provide dynamic spatial information on length scales smaller than the diffraction limit of light. Several methods exist to measure FRET between fluorophores, including Fluorescence Lifetime Imaging Microscopy (FLIM), which relies on the reduction of fluorescence lifetime when a fluorophore is undergoing FRET. FLIM measurements take the form of histograms of photon arrival times, containing contributions from a mixed population of fluorophores both undergoing and not undergoing FRET, with the measured distribution being a mixture of exponentials of different lifetimes. Here, we present an analysis method based on Bayesian inference that rigorously takes into account several experimental complications. We test the precision and accuracy of our analysis on controlled experimental data and verify that we can faithfully extract model parameters, both in the low-photon and low-fraction regimes.

Suggested Citation

  • Bryan Kaye & Peter J Foster & Tae Yeon Yoo & Daniel J Needleman, 2017. "Developing and Testing a Bayesian Analysis of Fluorescence Lifetime Measurements," PLOS ONE, Public Library of Science, vol. 12(1), pages 1-13, January.
    • Handle: RePEc:plo:pone00:0169337
    DOI: 10.1371/journal.pone.0169337
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    Cited by:

    1. Daniel U Campos-Delgado & Omar Gutierrez-Navarro & Ricardo Salinas-Martinez & Elvis Duran & Aldo R Mejia-Rodriguez & Miguel J Velazquez-Duran & Javier A Jo, 2021. "Blind deconvolution estimation by multi-exponential models and alternated least squares approximations: Free-form and sparse approach," PLOS ONE, Public Library of Science, vol. 16(3), pages 1-29, March.

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