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Protein Dynamics in Living Cells

Protein Dynamics in Living Cells

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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Related Experiment Video

Updated: Apr 30, 2026

Visualizing Clathrin-mediated Endocytosis of G Protein-coupled Receptors at Single-event Resolution via TIRF Microscopy

Visualizing Clathrin-mediated Endocytosis of G Protein-coupled Receptors at Single-event Resolution via TIRF Microscopy

Published on: October 20, 2014

A novel multiple hypothesis based particle tracking method for clathrin mediated endocytosis analysis using

Liang Liang, Hongying Shen, Pietro De Camilli

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society

|May 9, 2014

Summary

This study introduces an automated particle tracking method to analyze clathrin-mediated endocytosis, reducing manual workload. The advanced technique efficiently manages particle trajectories and data association in biological imaging.

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Last Updated: Apr 30, 2026

Visualizing Clathrin-mediated Endocytosis of G Protein-coupled Receptors at Single-event Resolution via TIRF Microscopy

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Tracking Single Proteins in Lipid Bilayers Using Fluorescence Microscopy

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Published on: December 12, 2025

Area of Science:

Cell Biology
Biophysics
Image Analysis

Background:

Quantitative analysis of cellular and subcellular processes requires tracking numerous particles.
Manual particle tracking is labor-intensive for biologists.
Clathrin-mediated endocytosis is a crucial cellular process requiring detailed analysis.

Purpose of the Study:

To develop an automated particle tracking method for analyzing clathrin-mediated endocytosis.
To overcome the limitations of manual tracking in biological image analysis.
To provide a robust framework for managing particle trajectories and data association.

Main Methods:

An extended Multiple Hypothesis Tracking (MHT) framework is proposed.
Particle tracking involves evaluating trajectory-related and observation-related hypotheses.
Particle detection in 2D fluorescence images uses region segmentation and Gaussian mixture models.

Main Results:

The method effectively manages trajectories, data association, and pseudo-splitting/merging events.
Demonstrated performance on synthetic data across various scenarios.
Successfully applied to real biological image data.

Conclusions:

The developed automated particle tracking method offers an efficient solution for analyzing clathrin-mediated endocytosis.
The extended MHT framework provides a robust approach for complex particle tracking tasks.
This method facilitates quantitative analysis of subcellular processes, advancing biological research.