CSMA: A Standalone and ImageJ-Compatible Tool for Enhanced Wound Healing Assay Analysis
Thanh Pham T. Sagymbayeva A. Elebessov T. Onzhanova Z. Molnar F.
2025Institute of Electrical and Electronics Engineers Inc.
IEEE Access
2025#1369341 - 69352 pp.
Accurate quantification of wound closure in cell migration assays is crucial yet challenging. Still, existing methods often underperform due to omitting cell detection within the wound area, resulting in biased outcomes. We developed the CSMA standalone and ImageJ-compatible tool, which utilizes advanced image processing techniques, including contrast enhancement, edge detection, and morphological operations, to precisely identify and quantify cells in the wound region. CSMA offers user-friendly features and adjustable parameters to accommodate different imaging conditions, ensuring robust performance across diverse experimental setups. Validation against conventional tools confirms CSMA’s superior ability to delineate wound boundaries and provide accurate estimations of area and width at every time point. As applied to SW480-ADH colon cancer cells treated with various compounds, CSMA proves valuable in biomedical research. CSMA represents a significant advancement in wound healing assay analysis, providing researchers with a simple and reliable tool for studying cell migration dynamics with enhanced precision and reproducibility.
advanced image processing , analysis tool , Cell migration , ImageJ integration , scratch assay , wound healing
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Nazarbayev University, Laboratory of Mechanobiology, Astana, 010000, Kazakhstan
Nazarbayev University, Laboratory of Cell Growth Regulation, Department of Biology, School of Sciences and Humanities, Astana, 010000, Kazakhstan
Nazarbayev University
Nazarbayev University
10 лет помогаем публиковать статьи Международный издатель
Книга Публикация научной статьи Волощук 2026 Book Publication of a scientific article 2026