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Cell Migration

Cell Migration

Cell migration, the process by which cells move from one location to another, is essential for the proper development and viability of organisms throughout their life. When cells are not able to migrate properly to their ordained locations, various disorders may occur. For example, disruption in cell migration causes chronic inflammatory diseases such as arthritis.

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Related Experiment Video

Updated: May 28, 2026

Automated Quantification and Analysis of Cell Counting Procedures Using ImageJ Plugins

Automated Quantification and Analysis of Cell Counting Procedures Using ImageJ Plugins

Published on: November 17, 2016

An automated cell-counting algorithm for fluorescently-stained cells in migration assays.

Baraa K Al-Khazraji¹, Philip J Medeiros, Nicole M Novielli

¹Department of Medical Biophysics, University of Western Ontario, London, Ontario, Canada. dwayne.jackson@schulich.uwo.ca.

Biological Procedures Online

|October 21, 2011

Summary

A new automated cell-counting algorithm accurately and efficiently quantifies migrated cells in migration assays, eliminating manual counting variability and observer bias.

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Last Updated: May 28, 2026

Automated Quantification and Analysis of Cell Counting Procedures Using ImageJ Plugins

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Published on: November 17, 2016

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A Quantitative Cell Migration Assay for Murine Enteric Neural Progenitors

A Quantitative Cell Migration Assay for Murine Enteric Neural Progenitors

Published on: September 18, 2013

Area of Science:

Cell Biology
Biotechnology
Image Analysis

Background:

Manual cell counting in migration assays is time-consuming and prone to observer bias.
Accurate quantification of cell migration is crucial for understanding cellular behavior and drug efficacy.

Purpose of the Study:

To develop and validate an automated algorithm for counting migrated fluorescently-stained cells.
To assess the accuracy, efficiency, and reliability of the automated method compared to manual counting.

Main Methods:

A cell-counting algorithm was developed using Matlab® software.
Images of migrated cells stained with fluorescent markers were acquired at various concentrations (10,000 and 100,000 cells) and magnifications (2.5×, 5×, and 10×).
Automated cell counts were compared against manual counts.

Main Results:

The automated cell-counting algorithm demonstrated a strong correlation with manual counts (r² = 0.99, P < 0.0001).
No significant differences in cell counts were observed between automated and manual methods across all tested conditions.
The automated method proved to be more efficient and free from variability and observer bias.

Conclusions:

The developed automated cell-counting algorithm is a validated, accurate, and efficient tool for analyzing cell migration assays.
This automated approach offers a reliable alternative to manual counting, reducing potential errors and improving experimental throughput.
The algorithm's consistency and objectivity make it suitable for various research applications requiring precise cell quantification.