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An image J plugin for the high throughput image analysis of in vitro scratch wound healing assays

Suarez-Arnedo, Alejandra ; Torres Figueroa, Felipe ; Clavijo, Camila ; Arbeláez, Pablo ; Cruz, Juan C ; Muñoz-Camargo, Carolina Chirico, Giuseppe

PloS one, 2020-07, Vol.15 (7), p.e0232565-e0232565 [Periódico revisado por pares]

United States: Public Library of Science

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Título:
An image J plugin for the high throughput image analysis of in vitro scratch wound healing assays
Autor: Suarez-Arnedo, Alejandra ; Torres Figueroa, Felipe ; Clavijo, Camila ; Arbeláez, Pablo ; Cruz, Juan C ; Muñoz-Camargo, Carolina
Chirico, Giuseppe
Assuntos: Analysis ; Assaying ; Biology and Life Sciences ; Biomedical engineering ; Cell adhesion & migration ; Cell Line ; Cell migration ; Cell Movement ; Computer and Information Sciences ; Cost analysis ; Culture Media, Conditioned - pharmacology ; Design ; Design and construction ; Engineering ; Engineering and Technology ; Fluorescence ; Growth factors ; Hand tools ; Healthcare industry software ; High-throughput screening (Biochemical assaying) ; Humans ; Image analysis ; Image analysis equipment ; Image contrast ; Image processing ; Image Processing, Computer-Assisted - methods ; Keratinocytes - drug effects ; Lasers ; Medicine and Health Sciences ; Mesenchymal Stem Cells - chemistry ; Methods ; Microscopes ; Parameter identification ; Phase contrast ; Physical Sciences ; Regeneration ; Reproducibility of Results ; Research and Analysis Methods ; Science Policy ; Software ; Software packages ; Source programs ; Standard deviation ; Supervision ; Wound healing ; Wound Healing - drug effects
É parte de: PloS one, 2020-07, Vol.15 (7), p.e0232565-e0232565
Notas: ObjectType-Article-1
SourceType-Scholarly Journals-1
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Competing Interests: The authors have declared that no competing interests exist.
Descrição: In vitro scratch wound healing assay, a simple and low-cost technique that works along with other image analysis tools, is one of the most widely used 2D methods to determine the cellular migration and proliferation in processes such as regeneration and disease. There are open-source programs such as imageJ to analyze images of in vitro scratch wound healing assays, but these tools require manual tuning of various parameters, which is time-consuming and limits image throughput. For that reason, we developed an optimized plugin for imageJ to automatically recognize the wound healing size, correct the average wound width by considering its inclination, and quantify other important parameters such as: area, wound area fraction, average wound width, and width deviation of the wound images obtained from a scratch/ wound healing assay. Our plugin is easy to install and can be used with different operating systems. It can be adapted to analyze both individual images and stacks. Additionally, it allows the analysis of images obtained from bright field, phase contrast, and fluorescence microscopes. In conclusion, this new imageJ plugin is a robust tool to automatically standardize and facilitate quantification of different in vitro wound parameters with high accuracy compared with other tools and manual identification.
Editor: United States: Public Library of Science
Idioma: Inglês

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An image J plugin for the high throughput image analysis of in vitro scratch wound healing assays

Suarez-Arnedo, Alejandra ; Torres Figueroa, Felipe ; Clavijo, Camila ; Arbeláez, Pablo ; Cruz, Juan C ; Muñoz-Camargo, Carolina Chirico, Giuseppe

United States: Public Library of Science

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