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Related Experiment Video

Updated: Jun 10, 2026

Live Imaging Followed by Single Cell Tracking to Monitor Cell Biology and the Lineage Progression of Multiple Neural Populations
10:55

Live Imaging Followed by Single Cell Tracking to Monitor Cell Biology and the Lineage Progression of Multiple Neural Populations

Published on: December 16, 2017

A single cell tracking system in real-time.

Yeon Hwa Kwak1, Sung Min Hong, Soon Sup Park

  • 1Convergence Sensor & Device Research Center, Korea Electronics Technology Institute, Seongnam-si 463-816, Republic of Korea. yhkwak@keti.re.kr

Cellular Immunology
|July 28, 2010
PubMed
Summary
This summary is machine-generated.

A new real-time cell tracking system quantifies single-cell migration over 24 hours. This inexpensive, user-friendly technology analyzes cell paths, size, and speed for research in angiogenesis, chemotaxis, and metastasis.

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Last Updated: Jun 10, 2026

Live Imaging Followed by Single Cell Tracking to Monitor Cell Biology and the Lineage Progression of Multiple Neural Populations
10:55

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Area of Science:

  • Biomedical Engineering
  • Cell Biology
  • Microfluidics

Background:

  • Cell migration is crucial for biological processes like development and disease.
  • Existing cell tracking methods often lack long-term, quantitative, real-time capabilities.
  • Accurate measurement of cell migration is essential for understanding various cellular behaviors.

Purpose of the Study:

  • To develop and validate a novel, real-time system for quantitative, long-term single-cell migration analysis.
  • To provide a simple, cost-effective, and compatible platform for cell migration studies.
  • To enable detailed analysis of cell migration routes and parameters.

Main Methods:

  • A system integrating a mini-incubator (temperature, CO2 control) and a polydimethylsiloxane (PDMS) chip for chemotaxis.
  • Real-time image processing (0.2s intervals) by converting live cell images to binary format for tracking.
  • Compatibility with commercial well plates for ease of use.

Main Results:

  • Quantitative, long-term (24h) tracking of individual cell migration routes (x, y coordinates).
  • Acquisition of data including cell size, migration distance, and migration speed.
  • Successful migration analysis of HUVEC and NCI-H23 cell lines.

Conclusions:

  • The developed system offers a powerful tool for real-time, quantitative cell migration analysis.
  • Its simplicity, cost-effectiveness, and compatibility make it broadly applicable.
  • This technology can advance research in cell angiogenesis, chemotaxis, and cancer metastasis.