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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: May 25, 2026

Visualizing Single-molecule DNA Replication with Fluorescence Microscopy

Visualizing Single-molecule DNA Replication with Fluorescence Microscopy

Published on: October 9, 2009

Fast automatic quantitative cell replication with fluorescent live cell imaging.

Ching-Wei Wang¹

¹Graduate Institute of Biomedical Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan. cweiwang@mail.ntust.edu.tw

BMC Bioinformatics

|February 2, 2012

Summary

This summary is machine-generated.

Automated live cell imaging quantifies cell replication levels effectively. This robust method offers statistically significant results and fast processing for cancer and experimental research.

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Area of Science:

Cell Biology
Microscopy
Quantitative Imaging

Background:

Live cell imaging monitors cellular activities, crucial for cancer and experimental research.
Manual quantification of cell proliferation is inaccurate and time-consuming.
Automated quantification requires robust cell segmentation to handle image variations.

Purpose of the Study:

To develop an automated quantification system for live cell imaging.
To enable accurate measurement of cell replication levels.
To provide a robust quantitative analysis for fluorescent microscopy.

Main Methods:

Developed an automated quantification system with robust cell segmentation.
Utilized unsupervised entropy-based segmentation for live cell images.
Applied statistical tests (ANOVA, LSD, Tukey HSD) for result validation.

Main Results:

The automated system accurately represents cell replication levels.
Statistically significant differences (p < 0.01) were observed between cell replication groups.
The technique processes high-resolution images in under 0.5 seconds.

Conclusions:

A robust automated method for live cell imaging quantification was established.
The system provides reliable quantitative analysis for cell replication.
The segmentation technique is also effective for nuclear segmentation in IHC tissue images.