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Related Concept Videos

Protein Dynamics in Living Cells01:19

Protein Dynamics in Living Cells

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Different fluorescence-based techniques are used to study the protein dynamics in living cells. These techniques include FRAP, FRET, and PET.
Fluorescent recovery after photobleaching (FRAP) is a fluorescent-protein-based detection technique used to quantify protein movement rates within the cell. This method exposes a small portion of the cell to an intense laser beam. The laser beam causes permanent photobleaching of the fluorophore-tagged proteins in the exposed region. As the bleached...
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Super-resolution fluorescence microscopy (SRFM) provides a better resolution than conventional fluorescence microscopy by reducing the point spread function (PSF). PSF is the light intensity distribution from a point that causes it to appear blurred. Due to PSF, each fluorescing point appears bigger than its actual size, and it is the PSF interference of nearby fluorophores that causes the blurred image. Various approaches to achieving higher resolution through SRFM have recently been...
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Related Experiment Video

Updated: Jun 30, 2025

From Fast Fluorescence Imaging to Molecular Diffusion Law on Live Cell Membranes in a Commercial Microscope
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BayesTICS: Local temporal image correlation spectroscopy and Bayesian simulation technique for sparse estimation of

Anca Caranfil1,2, Yann Le Cunff2,3, Charles Kervrann1

  • 1SERPICO Project-Team, INRIA Rennes, UMR144 CNRS Institut Curie, PSL Research, Sorbonne Université, Campus universitaire de Beaulieu, Rennes, France.

Biological Imaging
|March 15, 2024
PubMed
Summary

We developed a new method, BayesTICS, to precisely measure the diffusion of single molecules within cells using advanced microscopy. This technique improves the understanding of cellular processes like exocytosis.

Keywords:
Bayesian methodsdiffusionestimationfluorescence microscopytemporal correlation spectroscopy

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Area of Science:

  • Cell Biology
  • Biophysics
  • Microscopy

Background:

  • Vesicle dynamics and fusion in exocytosis remain poorly understood.
  • Characterizing diffusion at the plasma membrane is a key challenge.
  • Existing methods lack the ability to analyze diffusion in small cellular regions.

Purpose of the Study:

  • To develop a novel method for estimating local diffusion at the single-molecule level.
  • To address the limitations of current techniques for analyzing diffusion in cellular environments.
  • To provide a robust framework for studying diffusion dynamics in cell biology.

Main Methods:

  • Utilized Total Internal Reflection Fluorescence Microscopy (TIRFM) for high-speed imaging.
  • Developed a novel correlation-based method for local diffusion estimation.
  • Derived an explicit parametric model based on Fick's second law of diffusion.
  • Employed a Bayesian estimation framework to fit the model to time-correlation signals from regions of interest (ROIs).

Main Results:

  • The proposed method, BayesTICS, accurately estimates diffusion in local areas.
  • The framework is robust to noise, ROI size, and spot localization within ROIs.
  • Demonstrated performance on both synthetic and real TIRFM data of Transferrin Receptor proteins.

Conclusions:

  • BayesTICS offers a powerful new tool for analyzing single-molecule diffusion events.
  • The method enhances the study of protein dynamics and cellular mechanisms like exocytosis.
  • Provides a robust and versatile approach for diffusion analysis in microscopy data.