Quantifying hepatic fibrosis on murine models: how to obtain representative results in a less laborious way

dc.contributor.authorCatarino, José Carlos Mota
dc.contributor.authorViegas, Inês
dc.contributor.authorRodrigues, Joana
dc.contributor.authorPinto, Marta
dc.contributor.authorFaísca, Pedro
dc.contributor.institutionFaculdade de Medicina Veterinária
dc.date.issued2019
dc.descriptionRevista Lusófona de Ciência e Medicina Veterinária
dc.description.abstractIn 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.pt
dc.description.abstractIn 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).en
dc.description.statusNon peer reviewed
dc.formatapplication/pdf
dc.identifier.citationCatarino , J C M , Viegas , I , Rodrigues , J , Pinto , M & Faísca , P 2019 , ' Quantifying hepatic fibrosis on murine models: how to obtain representative results in a less laborious way ' , Default journal . https://doi.org/10.60543/rlcmv.v9i0.6658
dc.identifier.doihttps://doi.org/10.60543/rlcmv.v9i0.6658
dc.identifier.issn1646-3730
dc.language.isoeng
dc.publisherEdições Universitárias Lusófonas
dc.relation.ispartofDefault journal
dc.rightsopenAccess
dc.subjectIMAGEJ
dc.subjectFÍGADO
dc.subjectMORFOMETRIA
dc.subjectVETERINÁRIA
dc.subjectMEDICINA VETERINÁRIA
dc.subjectFIBROSE
dc.subjectPATOLOGIA EXPERIMENTAL
dc.subjectVETERINARY MEDICINE
dc.subjectFIBROSIS
dc.subjectLIVER
dc.subjectMORPHOMETRY
dc.subjectEXPERIMENTAL PATHOLOGY
dc.titleQuantifying hepatic fibrosis on murine models: how to obtain representative results in a less laborious wayen
dc.typearticle

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