Revista Lusófona de Ciência e Medicina Veterinária Vol. 09 (2018)

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http://hdl.handle.net/10437/10862

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Percorrer Revista Lusófona de Ciência e Medicina Veterinária Vol. 09 (2018) por autor "Viegas, Inês"

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    Quantifying hepatic fibrosis on murine models: how to obtain representative results in a less laborious way
    (Edições Universitárias Lusófonas, 2019) Catarino, José Carlos Mota; Viegas, Inês; Rodrigues, Joana; Pinto, Marta; Faísca, Pedro; Faculdade de Medicina Veterinária
    In biomedical research, quantification of histological images is often required. Many of the methods used are time-consuming, laborious, originate variable results and are difficult to replicate. This paper is aimed towards finding a more objective, reproducible and easy to perform method to obtain representative results in murine models of hepatic fibrosis using ImageJ software. To do so on a liver fibrosis model, the percentages of fibrotic lesion obtained in an entire section and in several different magnifications were compared. No statistically significant differences were found (p> 0.05), but the correlation was stronger between the results obtained in the entire section photograph and the two photographs at 40x (r = 0.963). Using ImageJ facilitated the definition of a methodology that originated representative results on a liver section and at the same time allowed objective measurement in a reproducible and less laborious way.
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    Quantifying myocardial fibrosis on murine model using ImageJ
    (Edições Universitárias Lusófonas, 2019) Catarino, José Carlos Mota; Viegas, Inês; Rodrigues, Joana; Pinto, Marta; Bota, Gonçalo; Cravo, Francisco; Lúcio, Filipa; Faísca, Pedro; Faculdade de Medicina Veterinária
    Quantification 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.