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Appl. Sci. 2017, 7(12), 1237; doi:10.3390/app7121237

AIM: A Computational Tool for the Automatic Quantification of Scratch Wound Healing Assays

1
Laboratory of Cellular and Molecular Engineering “S. Cavalcanti”, Department of Electrical, Electronic and Information Engineering “G. Marconi” (DEI), Alma Mater Studiorum—University of Bologna, 47521 Cesena, Italy
2
Biosciences Laboratory, IRCCS Istituto Scientifico Romagnolo per lo Studio e la Cura dei Tumori (I.R.S.T.), 47014 Meldola, Italy
3
BioEngLab, Health Science and Technology, Interdepartmental Center for Industrial Research (HST-CIRI), Alma Mater Studiorum—University of Bologna, 40064 Ozzano Emilia, Italy
4
Advanced Research Center on Electronic Systems (ARCES), Alma Mater Studiorum—University of Bologna, 40126 Bologna, Italy
*
Author to whom correspondence should be addressed.
Received: 30 October 2017 / Revised: 15 November 2017 / Accepted: 20 November 2017 / Published: 29 November 2017
(This article belongs to the Section Computer Science and Electrical Engineering)
View Full-Text   |   Download PDF [19968 KB, uploaded 29 November 2017]   |  

Abstract

Cell invasiveness quantification is of paramount importance in cancer research and is often evaluated in vitro through scratch wound healing assays that determine the rate at which a population of cells fills a gap created in a confluent 2D culture. The quantification of the results of this experiment, however, lacks standardization and is often highly time consuming and user dependent. To overcome these limitations, we have developed AIM (Automatic Invasiveness Measure), a freely-available software tool for the automatic quantification of the cell-free region in scratch wound healing assays. This study will completely describe AIM and will show its equivalence to three analysis methods commonly used for the quantification of the scratch area and the measure of true wound extension. Furthermore, the analysis time and the dependency of the results of these techniques on the structure of the time course (total duration and number of points) will be studied. To the best of our knowledge, AIM is the first entirely-automated analysis method for scratch wound healing assays and represents a significant improvement of this technique both in terms of results’ quality and reliability. View Full-Text
Keywords: scratch wound healing assay; cell invasiveness; computational method scratch wound healing assay; cell invasiveness; computational method
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Cortesi, M.; Pasini, A.; Tesei, A.; Giordano, E. AIM: A Computational Tool for the Automatic Quantification of Scratch Wound Healing Assays. Appl. Sci. 2017, 7, 1237.

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