Evan Kerr
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Research Interests
Evan Kerr has a total of 4 co-authors. Here are the top co-authors by number of shared publications:
- Afshin Raouf
Department of Immunology, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, Canada
1 shared publication - Edward Buchel
Department of Surgery, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB R3E 0W2, Canada
1 shared publication - Sarvesh Logsetty
University of Manitoba
1 shared publication - Stefan Balko
Department of Immunology, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB R3E 0W2, Canada
1 shared publication
Latest Publications
- Open Access
- 17 September 2023
- Published by MDPI AG in Methods and Protocols
- Vol. 6 (5) , 87
A Robust and Standardized Approach to Quantify Wound Closure Using the Scratch Assay
The scratch assay is an in vitro assay that allows for high-throughput quantification of wound closure by keratinocytes and fibroblasts with relative ease. However, this assay is amenable to experimental variables, which can result in false-positive and false-negative data, making the interpretation of such data difficult. Also, data variability decreases the sensitivity of the scratch assay. Here, we identify important sources of data variation in the scratch assay and provide rational mitigation strategies that enable robust and highly reproducible quantification of scratch width and area, and ultimately the scratch closure rates. By eliminating these sources of variability, the sensitivity of the scratch assay is enhanced, thereby allowing for identification of dependent variables with wide-ranging impacts on wound closure in a robust and standardized manner.
- 17 September 2023
- Published by MDPI AG in Methods and Protocols
- Vol. 6 (5) , 87
Open AccessA Robust and Standardized Approach to Quantify Wound Closure Using the Scratch Assay
The scratch assay is an in vitro assay that allows for high-throughput quantification of wound closure by keratinocytes and fibroblasts with relative ease. However, this assay is amenable to experimental variables, which can result in false-positive and false-negative data, making the interpretation of such data difficult. Also, data variability decreases the sensitivity of the scratch assay. Here, we identify important sources of data variation in the scratch assay and provide rational mitigation strategies that enable robust and highly reproducible quantification of scratch width and area, and ultimately the scratch closure rates. By eliminating these sources of variability, the sensitivity of the scratch assay is enhanced, thereby allowing for identification of dependent variables with wide-ranging impacts on wound closure in a robust and standardized manner.