PyScratch: An ease of use tool for analysis of scratch assays

Author(s)

Garcia-Fossa, Fernanda ^[1] ; Gaal, Vladimir ^[2] ; de Jesus, Marcelo Bispo ^[1]

Affiliation

^[1] Univ Estadual Campinas, Inst Biol, Dept Biochem & Tissue Biol, Campinas, SP - Brazil

^[2] Univ Estadual Campinas, Appl Phys Dept, Campinas, SP - Brazil

• Document type: Journal article
• Source: COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE; v. 193, SEP 2020.
• Web of Science Citations: 1

Abstract

Background and objective: Image acquisition has greatly benefited from the automation of microscopes and has been followed by an increasing amount and complexity of data acquired. Here, we present the PyScratch, a new tool for processing spatial and temporal information from scratch assays. PyScratch is an open-source software implemented in Python that analyses the migration area in an automated fashion. Methods: The software was developed in Python. Wound healing assays were used to validate its performance. The images were acquired using Cytation 5 (TM) during 60 h. Data were analyzed using One-Way ANOVA. Results: PyScratch performed a robust analysis of confluent cells, showing that high plating density affects cell migration. Additionally, PyScratch was approximately six times faster than a semi-automated analysis. Conclusions: PyScratch offers a user-friendly interface allowing researches with little or no programming skills to perform quantitative analysis of in vitro scratch assays. (C) 2020 Elsevier B.V. All rights reserved. (AU)

• FAPESP's process: 14/03002-7 - Internalization and intracellular trafficking of nanoparticles: biological activity and nanotoxicological profile
• Grantee: Marcelo Bispo de Jesus
• Support Opportunities: Research Grants - Young Investigators Grants
• FAPESP's process: 15/06134-4 - Multi-User Equipment approved in grant 2014/03002-7: cell imaging multi-mode reader
• Grantee: Marcelo Bispo de Jesus
• Support Opportunities: Multi-user Equipment Program