Image Processing Software to Quantify Cell Migration During Wound Healing Assay in Cancer Research

For this project, in the need of a standardized method to process and analyze images obtained from a technique to evaluate cell migration during cancer research, an image processing software was developed using MATLAB. This program automatically identifies the area of a wound in a cell culture and calculates the number of pixels in it to quantify cell migration. The software delivers accurate and precise results to support cancer investigations, 17 times faster than manual methods with an accuracy of 2.8%.

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Publication Details

Published
2025-04-07
DOI
https://doi.org/10.1109/gmepe/pahce65777.2025.11002850
Primary Topic
Cell Image Analysis Techniques
Type
article
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article

Image Processing Software to Quantify Cell Migration During Wound Healing Assay in Cancer Research

Antonio Lopez-Izquierdo, Juan C. García-Gallegos, A. Salazar-Mendoza, F. Verduzco-Valdez et al.
Cell Image Analysis Techniques
article

Image Processing Software to Quantify Cell Migration During Wound Healing Assay in Cancer Research

Antonio Lopez-Izquierdo, Juan C. García-Gallegos, A. Salazar-Mendoza, F. Verduzco-Valdez, M. Díaz-Inzunza, K. L. Ruiz-Castillo
article en

Abstract

For this project, in the need of a standardized method to process and analyze images obtained from a technique to evaluate cell migration during cancer research, an image processing software was developed using MATLAB. This program automatically identifies the area of a wound in a cell culture and calculates the number of pixels in it to quantify cell migration. The software delivers accurate and precise results to support cancer investigations, 17 times faster than manual methods with an accuracy of 2.8%.

Openalex Percentile: Top 91%
Cell Image Analysis Techniques
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Image Processing Software to Quantify Cell Migration During Wound Healing Assay in Cancer Research — Antonio Lopez-Izquierdo, Juan C. García-Gallegos, et al. · (2025) | TGRS Research Map | TGRS