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Related Experiment Video

Updated: May 25, 2026

A Protocol for Real-time 3D Single Particle Tracking
10:16

A Protocol for Real-time 3D Single Particle Tracking

Published on: January 3, 2018

An active particle-based tracking framework for 2D and 3D time-lapse microscopy images.

M Julius Hossain1, Paul F Whelan, Andras Czirok

  • 1Centre for Image Processing and Analysis, Dublin City University, Glasnevin, Dublin 9, Ireland. julius.hossain@dcu.ie

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
|January 19, 2012
PubMed
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This study introduces a novel particle-based framework for automatic cell tracking in live-imaging microscopy. The method quantifies cell motility without relying on predefined motion models, advancing the study of cell migration.

Area of Science:

  • Cell Biology
  • Biophysics
  • Microscopy Imaging

Background:

  • Accurate tracking of cellular structures is crucial for understanding cell migration and biological processes.
  • Existing tracking methods often rely on predefined motion models, limiting their adaptability.

Purpose of the Study:

  • To develop a particle-based, fully automatic tracking framework for quantifying living cell motility.
  • To eliminate the need for a priori motion models by reformulating tracking as a data-driven optimization process.

Main Methods:

  • A novel particle-based tracking framework was implemented.
  • The tracking mechanism was reformulated as a data-driven optimization process.
  • The method was evaluated on 2D and 3D deconvolved epifluorescent in-vivo image sequences.

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3D Orbital Tracking in a Modified Two-photon Microscope: An Application to the Tracking of Intracellular Vesicles
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3D Orbital Tracking in a Modified Two-photon Microscope: An Application to the Tracking of Intracellular Vesicles

Published on: October 1, 2014

Three-dimensional Particle Tracking Velocimetry for Turbulence Applications: Case of a Jet Flow
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Three-dimensional Particle Tracking Velocimetry for Turbulence Applications: Case of a Jet Flow

Published on: February 27, 2016

Related Experiment Videos

Last Updated: May 25, 2026

A Protocol for Real-time 3D Single Particle Tracking
10:16

A Protocol for Real-time 3D Single Particle Tracking

Published on: January 3, 2018

3D Orbital Tracking in a Modified Two-photon Microscope: An Application to the Tracking of Intracellular Vesicles
11:28

3D Orbital Tracking in a Modified Two-photon Microscope: An Application to the Tracking of Intracellular Vesicles

Published on: October 1, 2014

Three-dimensional Particle Tracking Velocimetry for Turbulence Applications: Case of a Jet Flow
13:02

Three-dimensional Particle Tracking Velocimetry for Turbulence Applications: Case of a Jet Flow

Published on: February 27, 2016

Main Results:

  • The framework enables fully automatic quantification of cell motility.
  • The data-driven approach removes reliance on predefined motion models.
  • Successful evaluation on complex in-vivo image sequences of quail embryo development.

Conclusions:

  • The proposed particle-based framework offers a robust and adaptable solution for cell motility analysis.
  • This data-driven approach advances the field of automated cell tracking in biological research.
  • The method has potential applications in studying developmental biology and disease mechanisms.