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Updated: Jun 21, 2026

Single-Molecule Tracking Microscopy - A Tool for Determining the Diffusive States of Cytosolic Molecules
10:20

Single-Molecule Tracking Microscopy - A Tool for Determining the Diffusive States of Cytosolic Molecules

Published on: September 5, 2019

Tracking multiple interacting subcellular structure by sequential Monte Carlo method.

Quan Wen1, Kate Luby-Phelps, Jean Gao

  • 1Department of Computer Science and Engineering, University of Texas at Arlington, Arlington, TX 76019, USA. qwen@uta.edu

International Journal of Data Mining and Bioinformatics
|July 24, 2009
PubMed
Summary
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This study introduces a computer-aided framework for tracking multiple interacting objects in live-cell imaging. The novel approach efficiently analyzes complex image data using advanced sampling algorithms for improved biological research.

Area of Science:

  • Biomedical Imaging
  • Computational Biology
  • Microscopy

Background:

  • Green Fluorescent Proteins (GFP) are widely used in live-cell studies.
  • Advanced microscopy generates vast amounts of image sequence data.
  • There is a growing need for automated analysis of this complex data.

Purpose of the Study:

  • To develop a computer-aided framework for analyzing live-cell image sequences.
  • To enable efficient tracking of multiple interacting objects within these sequences.

Main Methods:

  • A Sequential Monte Carlo (SMC) framework was developed.
  • A Reversible Jump Markov Chain Monte Carlo (RJMCMC) algorithm was employed for efficient state distribution sampling.
  • A novel height swap move was incorporated into the RJMCMC algorithm.

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Tracking and Quantifying Developmental Processes in C. elegans Using Open-source Tools
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Tracking and Quantifying Developmental Processes in C. elegans Using Open-source Tools

Published on: December 16, 2015

Related Experiment Videos

Last Updated: Jun 21, 2026

Single-Molecule Tracking Microscopy - A Tool for Determining the Diffusive States of Cytosolic Molecules
10:20

Single-Molecule Tracking Microscopy - A Tool for Determining the Diffusive States of Cytosolic Molecules

Published on: September 5, 2019

Tracking and Quantifying Developmental Processes in C. elegans Using Open-source Tools
10:41

Tracking and Quantifying Developmental Processes in C. elegans Using Open-source Tools

Published on: December 16, 2015

Main Results:

  • The proposed framework demonstrated efficient sampling of dimension-varying joint states.
  • Experimental validation was performed on both synthetic and real confocal microscopy image sequences.
  • The method proved effective for tracking multiple interacting objects.

Conclusions:

  • The developed SMC framework with RJMCMC and a height swap move is effective for multiple interacting object tracking.
  • This approach addresses the need for computer-aided analysis of large-scale live-cell imaging data.
  • The findings support enhanced quantitative analysis in live-cell microscopy research.