An image J plugin for the high throughput image analysis of in vitro scratch wound healing assays
Overview
Paper Summary
This paper introduces a new ImageJ/Fiji plugin, 'Wound Healing Size Tool', for analyzing in vitro scratch wound healing assays. This plugin aims to automate the process of quantifying wound area, coverage, average width, and width standard deviation, allowing for high-throughput analysis of scratch assays. Testing shows that conditioned media from hAdMSCs promotes faster wound closure and higher cell migration rates in HaCaT cells compared to control media.
Explain Like I'm Five
Scientists made a new computer tool to quickly measure how fast tiny "scrapes" heal in a lab. They found a special "juice" from certain cells helps these scrapes heal much faster.
Possible Conflicts of Interest
Funding was provided by the Department of Biomedical Engineering at Universidad de los Andes and by the start-up funding to Assistant Professors FAPA of Carolina Muñoz. Additionally, funding was provided by an internal call for termination of publications from the Vice-provost of Research at Universidad de los Andes. Although declared as not competing, these internal funding sources might exert some implicit bias.
Identified Limitations
Rating Explanation
This study presents a novel ImageJ plugin for automated analysis of scratch wound healing assays. While the tool offers some automation, it suffers from parameter sensitivity and does not significantly improve accuracy over existing methods, limiting its overall impact. The internal funding sources and potential bias also influence the rating.
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