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

Autor(es)

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

Afiliação do(s) autor(es)

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

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

• Tipo de documento: Artigo Científico
• Fonte: COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE; v. 193, SEP 2020.
• Citações Web of Science: 1

Resumo

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)

• Processo FAPESP: 14/03002-7 - Internalização e tráfego intracelular de nanopartículas: atividade biológica e perfil nanotoxicológico
• Beneficiário: Marcelo Bispo de Jesus
• Modalidade de apoio: Auxílio à Pesquisa - Jovens Pesquisadores
• Processo FAPESP: 15/06134-4 - EMU concedido no processo 2014/03002-7: leitor multi-modo de imageamento celular (cell imaging multi-mode reader)
• Beneficiário: Marcelo Bispo de Jesus
• Modalidade de apoio: Auxílio à Pesquisa - Programa Equipamentos Multiusuários