Catarino, José Carlos MotaViegas, InêsRodrigues, JoanaPinto, MartaBota, GonçaloCravo, FranciscoLúcio, FilipaFaísca, Pedro2019-04-082019-04-082019http://hdl.handle.net/10437/9490Revista Lusófona de Ciência e Medicina VeterináriaQuantification of histological images is a task often required in biomedical research. Many of the methods used are time-consuming, difficult to replicate and subjective. This work aimed to describe and validate a more objective, reproducible and easy to perform methodology to measure murine heart fibrosis, using ImageJ software. For this matter, a macro was created and validated for its intra and inter-observational reproducibility. No significant differences were found between the results obtained manually and with the macro (p> 0.05). Regarding the interobserver variability, the macro proved to be a less variable method by presenting higher correlation coefficients between observers when compared with the manual measurement. With these results, we were able to define and describe a methodology that outputs objective and replicable results in a less laborious way.application/pdfengopenAccessIMAGEJVETERINÁRIAMEDICINA VETERINÁRIAFIBROSECORAÇÃOFIBROSISHEARTVETERINARY MEDICINEMORFOMETRIAMORPHOMETRYPATOLOGIA EXPERIMENTALEXPERIMENTAL PATHOLOGYQuantifying myocardial fibrosis on murine model using ImageJarticle