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Related Experiment Video

Updated: May 28, 2026

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

An expectation maximization based method for subcellular particle tracking using multi-angle TIRF microscopy.

Liang Liang1, Hongying Shen, Pietro De Camilli

  • 1Yale University, New Haven, CT 06520, USA. liang.liang@yale.edu

Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention
|October 19, 2011
PubMed
Summary
This summary is machine-generated.

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We developed a new automatic particle tracking method using a MAP framework and EM algorithm for multi-angle total internal reflection fluorescence microscopy (MA-TIRFM). This method accurately tracks cellular components like clathrin-coated pits (CCPs) in 4D cellular imaging.

Area of Science:

  • Biophysics
  • Cell Biology
  • Microscopy

Background:

  • Quantitative analysis of cellular processes using MA-TIRFM requires precise subcellular particle tracking.
  • Existing tracking methods may not be optimal for the complex dynamics observed near the dorsal cell membrane.

Purpose of the Study:

  • To develop and validate an automatic particle tracking method for MA-TIRFM data.
  • To apply this method for tracking clathrin-coated pits (CCPs) with high accuracy.

Main Methods:

  • A Maximum A Posteriori (MAP) framework was employed for automatic particle tracking.
  • The Expectation-Maximization (EM) algorithm was utilized to solve the MAP problem.
  • A forward filter based on the Most Probable Trajectory (MPT) filter provided initial estimations for the EM algorithm, using linear models for particle dynamics.

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High-resolution Spatiotemporal Analysis of Receptor Dynamics by Single-molecule Fluorescence Microscopy

Published on: July 25, 2014

A Protocol for Real-time 3D Single Particle Tracking
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A Protocol for Real-time 3D Single Particle Tracking

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Related Experiment Videos

Last Updated: May 28, 2026

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

High-resolution Spatiotemporal Analysis of Receptor Dynamics by Single-molecule Fluorescence Microscopy
15:13

High-resolution Spatiotemporal Analysis of Receptor Dynamics by Single-molecule Fluorescence Microscopy

Published on: July 25, 2014

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

Main Results:

  • The proposed tracking method demonstrated high accuracy on synthetic datasets.
  • The method was successfully applied to track clathrin-coated pits (CCPs) in real MA-TIRFM data.
  • Results obtained from real data were validated by expert cell biologists.

Conclusions:

  • The developed MAP-based framework offers an accurate and reliable method for automatic particle tracking in MA-TIRFM.
  • This method facilitates quantitative analysis of cellular dynamics, specifically for components like CCPs.
  • The approach holds promise for advancing the study of cellular processes in 4D.