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Updated: Mar 14, 2026

A Protocol for Real-time 3D Single Particle Tracking

A Protocol for Real-time 3D Single Particle Tracking

Published on: January 3, 2018

TrackMate: An open and extensible platform for single-particle tracking.

Jean-Yves Tinevez¹, Nick Perry¹, Johannes Schindelin²

¹Imagopole, Citech, Institut Pasteur, 75724 Paris, France.

Methods (San Diego, Calif.)

|October 8, 2016

Summary

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This summary is machine-generated.

TrackMate is an open-source Fiji plugin for tracking single particles in images. It offers versatile tools for automated, semi-automated, and manual tracking, aiding biological research.

Area of Science:

* Biology
* Microscopy
* Image Analysis

Background:

* Accurate tracking of single particles in biological imaging is crucial for quantitative analysis.
* Existing methods may lack versatility or require extensive customization for diverse applications.
* The development of user-friendly, adaptable tracking software is essential for advancing biological research.

Purpose of the Study:

* To introduce TrackMate, an open-source Fiji plugin for single-particle tracking.
* To demonstrate TrackMate's versatility across various dimensions (1D, 2D, 3D) and imaging conditions.
* To showcase TrackMate's utility in analyzing complex biological processes and validating new algorithms.

Main Methods:

* Development of an open-source Fiji plugin named TrackMate.

Keywords:

Clathin-mediated endocytosis Image analysis Microscopy Open-source software Phototoxicity Single-particle tracking

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Last Updated: Mar 14, 2026

A Protocol for Real-time 3D Single Particle Tracking

A Protocol for Real-time 3D Single Particle Tracking

Published on: January 3, 2018

Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles

Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles

Published on: March 13, 2017

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Mapping Molecular Diffusion in the Plasma Membrane by Multiple-Target Tracing MTT

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* Implementation of automated, semi-automated, and manual single-particle tracking functionalities.

* Integration of visualization, analysis, and customization tools within a modular framework.

* Application of TrackMate to Caenorhabditis elegans lineage analysis, NEMO cluster recruitment in fibroblasts, and clathrin-mediated endocytosis in plant cells.

Main Results:

* TrackMate successfully performed automated, semi-automated, and manual tracking across diverse biological samples and imaging dimensions.
* Analysis of Caenorhabditis elegans revealed no cell-specific light-sensitive mechanism impacting early development.
* Photodamage artifacts in fibroblast motility analysis were identified, highlighting the importance of controlled imaging conditions.
* Quantitative lifetime analysis of clathrin-mediated endocytosis in plant cells was validated using TrackMate.

Conclusions:

* TrackMate provides a versatile, extensible, and user-friendly platform for single-particle tracking in biological research.
* The plugin aids in identifying imaging artifacts and performing quantitative analysis of cellular dynamics.
* TrackMate facilitates the development and optimization of new tracking algorithms, accelerating biological discovery.