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Fluorescence Lifetime Imaging of Molecular Rotors in Living Cells
09:45

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Published on: February 9, 2012

Fluorescence lifetime discrimination using expectation-maximization algorithm with joint deconvolution.

Chit Yaw Fu1, Beng Koon Ng, Sirajudeen Gulam Razul

  • 1Nanyang Technological University, School of Electrical and Electronic Engineering, Photonics Research Centre, Singapore.

Journal of Biomedical Optics
|January 12, 2010
PubMed
Summary
This summary is machine-generated.

This study introduces an expectation-maximization (EM) method with Bayesian information criterion (BIC) to accurately count fluorescent components. This advance improves fluorescence lifetime analysis for biological samples with overlapping spectra.

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Area of Science:

  • Analytical Chemistry
  • Biophysics
  • Spectroscopy

Background:

  • Fluorescence lifetime techniques can resolve components with overlapping spectra.
  • Discriminating multiple fluorescent components in biological samples is challenging.
  • Conventional nonlinear least-squares methods struggle to determine the correct number of components in fluorescence decay profiles.

Purpose of the Study:

  • To develop and validate a novel method for accurately determining the number of fluorescent components.
  • To enhance the applicability of fluorescence lifetime techniques in biological assays and diagnostics.
  • To overcome limitations of existing methods in resolving complex biological fluorescent mixtures.

Main Methods:

  • Utilized an expectation-maximization (EM) algorithm combined with joint deconvolution for parameter estimation.
  • Employed the Bayesian information criterion (BIC) for accurate determination of the number of fluorescent components.
  • Conducted comprehensive simulations and experimental studies to evaluate method performance.

Main Results:

  • The proposed EM-BIC method accurately identifies the correct number of fluorescent components.
  • The method demonstrates high performance and accuracy, even with weakly fluorescing components.
  • Successfully overcomes limitations of conventional nonlinear least-squares techniques.

Conclusions:

  • The EM-BIC method offers a robust solution for analyzing complex fluorescence decay profiles.
  • This advancement significantly improves the utility of fluorescence lifetime spectroscopy in biological applications.
  • Enables more reliable discrimination of multiple fluorescent species in biological systems.