Accurate Region-of-Interest Recovery Improves the Measurement of the Cell Migration Rate in the In Vitro Wound Healing Assay

Author:

Bedoya Cesar1,Cardona Andrés2,Galeano July1,Cortés-Mancera Fabián2,Sandoz Patrick3,Zarzycki Artur4

Affiliation:

1. Facultad de Ingenierías/Grupo de Investigación en Materiales Avanzados y Energía MatyEr/Línea Biomateriales y Electromedicina, Instituto Tecnológico Metropolitano ITM, Medellín, Antioquia, Colombia

2. Facultad de Ciencias Exactas y Aplicadas/Grupo de Investigación e Innovación Biomédica—GIB/Laboratorio de Ciencias Biomédicas, Instituto Tecnológico Metropolitano ITM, Medellín, Antioquia, Colombia

3. Department of Applied Mechanics, FEMTO-ST Institute, University Bourgogne Franche-Comté, CNRS/UFC/ENSMM/UTBM, Besançon, France

4. Facultad de Ingenierías/Grupo de Investigación en Automática, Electrónica y Ciencias Computacionales/Línea Sistemas de Control y Robótica, Instituto Tecnológico Metropolitano ITM, Medellín, Antioquia, Colombia

Abstract

The wound healing assay is widely used for the quantitative analysis of highly regulated cellular events. In this essay, a wound is voluntarily produced on a confluent cell monolayer, and then the rate of wound reduction (WR) is characterized by processing images of the same regions of interest (ROIs) recorded at different time intervals. In this method, sharp-image ROI recovery is indispensable to compensate for displacements of the cell cultures due either to the exploration of multiple sites of the same culture or to transfers from the microscope stage to a cell incubator. ROI recovery is usually done manually and, despite a low-magnification microscope objective is generally used (10x), repositioning imperfections constitute a major source of errors detrimental to the WR measurement accuracy. We address this ROI recovery issue by using pseudoperiodic patterns fixed onto the cell culture dishes, allowing the easy localization of ROIs and the accurate quantification of positioning errors. The method is applied to a tumor-derived cell line, and the WR rates are measured by means of two different image processing software. Sharp ROI recovery based on the proposed method is found to improve significantly the accuracy of the WR measurement and the positioning under the microscope.

Funder

Departamento Administrativo de Ciencia, Tecnología e Innovación

Publisher

Elsevier BV

Subject

Medical Laboratory Technology,Computer Science Applications

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