Techniques using ImageJ for histomorphometric studies

Detalhes bibliográficos
Autor(a) principal: Curvo, Lucimar Rodrigues Vieira
Data de Publicação: 2020
Outros Autores: Ferreira, Milena Wolff, Costa, Celso Soares, Barbosa, Guilherme Ribeiro Capibaribe, Uhry, Sandra Adriana, Silveira, Ulisses Simon da, Andrade, Gisele Braziliano de, Silva, Alanderson Rodrigues da
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Research, Society and Development
Texto Completo: https://rsdjournal.org/index.php/rsd/article/view/9586
Resumo: Computational histomorphometry is an available and easy tool that has been used in the assessment of morphophysiological tissue changes, offering greater scientific reliability to the data, as well as facilitating the automation process. The present work aimed to describe the application of the methodology of the free software ImageJ for morphological evaluation of fish tissues. For this, micrographs of histological sections of the intestinal tract of fish stained with Periodic Acid-Schiff (PAS) were used as a model. The images were analyzed for variables of length, width, and tissue area and, number of cells or molecules. The application of computational histomorphometry demonstrated efficiency in the evaluation of histological structures of the intestine of fish supplemented with probiotics, contributing to the improvement of image analysis techniques in animal tissue models.
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spelling Techniques using ImageJ for histomorphometric studiesUso de técnicas en ImageJ para estudios histomorfometricosTécnicas de uso do ImageJ para estudos histomorfométricosHistologyMorphologyTissuesSoftware imageJ.HistologíaMorfologíaTejidosSoftware imageJ.HistologiaMorfologiaTecidosSoftware imageJ.Computational histomorphometry is an available and easy tool that has been used in the assessment of morphophysiological tissue changes, offering greater scientific reliability to the data, as well as facilitating the automation process. The present work aimed to describe the application of the methodology of the free software ImageJ for morphological evaluation of fish tissues. For this, micrographs of histological sections of the intestinal tract of fish stained with Periodic Acid-Schiff (PAS) were used as a model. The images were analyzed for variables of length, width, and tissue area and, number of cells or molecules. The application of computational histomorphometry demonstrated efficiency in the evaluation of histological structures of the intestine of fish supplemented with probiotics, contributing to the improvement of image analysis techniques in animal tissue models.La histomorfometría computacional es una herramienta disponible y fácil que se ha utilizado en la evaluación de cambios morfofisiológicos tisulares, ofreciendo mayor confiabilidad científica a los datos, además de facilitar el proceso de automatización. El presente trabajo tenido como objetivo describir la aplicación de la metodología de uso del software libre ImageJ en la evaluación morfológicos en tejidos de peces. Para ello, se utilizaron como modelo micrografías de cortes histológicos del tracto intestinal de peces teñidos con Ácido Periódico-Schiff (PAS). Las imágenes se analizaron en busca de variables de longitud, ancho y área de tejido y número de células o moléculas. La aplicación de histomorfometría computacional demostró eficiencia en la evaluación de estructuras histológicas del intestino de peces, contribuyendo a la mejora de las técnicas de análisis de imagen en modelos de tejidos animales.A histomorfometria computacional é uma ferramenta disponível e de fácil utilização, que tem sido utilizada na avaliação de alterações morfofisiológicas dos tecidos, oferecendo maior confiabilidade científica aos dados, além de facilitar o processo de automação. O presente trabalho teve como objetivo descrever a aplicação da metodologia do software livre ImageJ para avaliação morfológica de tecidos de peixes. Para isso, utilizou-se fotomicrografias de cortes histológicos do trato intestinal de peixes corados com Periodic Acid-Schiff (PAS) foram utilizadas como modelo. As imagens foram analisadas quanto às variáveis de comprimento, largura e área do tecido e número de células ou moléculas. A aplicação da histomorfometria computacional demonstrou eficiência na avaliação das estruturas histológicas do intestino de peixes, contribuindo para o aprimoramento das técnicas de análise de imagens em modelos de tecidos animais.Research, Society and Development2020-11-11info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://rsdjournal.org/index.php/rsd/article/view/958610.33448/rsd-v9i11.9586Research, Society and Development; Vol. 9 No. 11; e1459119586Research, Society and Development; Vol. 9 Núm. 11; e1459119586Research, Society and Development; v. 9 n. 11; e14591195862525-3409reponame:Research, Society and Developmentinstname:Universidade Federal de Itajubá (UNIFEI)instacron:UNIFEIenghttps://rsdjournal.org/index.php/rsd/article/view/9586/8690Copyright (c) 2020 Lucimar Rodrigues Vieira Curvo; Milena Wolff Ferreira; Celso Soares Costa; Guilherme Ribeiro Capibaribe Barbosa; Sandra Adriana Uhry; Ulisses Simon da Silveira; Alanderson Rodrigues da Silva; Gisele Braziliano de Andradehttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessCurvo, Lucimar Rodrigues Vieira Ferreira, Milena Wolff Costa, Celso SoaresBarbosa, Guilherme Ribeiro Capibaribe Uhry, Sandra Adriana Silveira, Ulisses Simon da Andrade, Gisele Braziliano de Silva, Alanderson Rodrigues da 2020-12-10T23:37:57Zoai:ojs.pkp.sfu.ca:article/9586Revistahttps://rsdjournal.org/index.php/rsd/indexPUBhttps://rsdjournal.org/index.php/rsd/oairsd.articles@gmail.com2525-34092525-3409opendoar:2024-01-17T09:31:49.598641Research, Society and Development - Universidade Federal de Itajubá (UNIFEI)false
dc.title.none.fl_str_mv Techniques using ImageJ for histomorphometric studies
Uso de técnicas en ImageJ para estudios histomorfometricos
Técnicas de uso do ImageJ para estudos histomorfométricos
title Techniques using ImageJ for histomorphometric studies
spellingShingle Techniques using ImageJ for histomorphometric studies
Curvo, Lucimar Rodrigues Vieira
Histology
Morphology
Tissues
Software imageJ.
Histología
Morfología
Tejidos
Software imageJ.
Histologia
Morfologia
Tecidos
Software imageJ.
title_short Techniques using ImageJ for histomorphometric studies
title_full Techniques using ImageJ for histomorphometric studies
title_fullStr Techniques using ImageJ for histomorphometric studies
title_full_unstemmed Techniques using ImageJ for histomorphometric studies
title_sort Techniques using ImageJ for histomorphometric studies
author Curvo, Lucimar Rodrigues Vieira
author_facet Curvo, Lucimar Rodrigues Vieira
Ferreira, Milena Wolff
Costa, Celso Soares
Barbosa, Guilherme Ribeiro Capibaribe
Uhry, Sandra Adriana
Silveira, Ulisses Simon da
Andrade, Gisele Braziliano de
Silva, Alanderson Rodrigues da
author_role author
author2 Ferreira, Milena Wolff
Costa, Celso Soares
Barbosa, Guilherme Ribeiro Capibaribe
Uhry, Sandra Adriana
Silveira, Ulisses Simon da
Andrade, Gisele Braziliano de
Silva, Alanderson Rodrigues da
author2_role author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Curvo, Lucimar Rodrigues Vieira
Ferreira, Milena Wolff
Costa, Celso Soares
Barbosa, Guilherme Ribeiro Capibaribe
Uhry, Sandra Adriana
Silveira, Ulisses Simon da
Andrade, Gisele Braziliano de
Silva, Alanderson Rodrigues da
dc.subject.por.fl_str_mv Histology
Morphology
Tissues
Software imageJ.
Histología
Morfología
Tejidos
Software imageJ.
Histologia
Morfologia
Tecidos
Software imageJ.
topic Histology
Morphology
Tissues
Software imageJ.
Histología
Morfología
Tejidos
Software imageJ.
Histologia
Morfologia
Tecidos
Software imageJ.
description Computational histomorphometry is an available and easy tool that has been used in the assessment of morphophysiological tissue changes, offering greater scientific reliability to the data, as well as facilitating the automation process. The present work aimed to describe the application of the methodology of the free software ImageJ for morphological evaluation of fish tissues. For this, micrographs of histological sections of the intestinal tract of fish stained with Periodic Acid-Schiff (PAS) were used as a model. The images were analyzed for variables of length, width, and tissue area and, number of cells or molecules. The application of computational histomorphometry demonstrated efficiency in the evaluation of histological structures of the intestine of fish supplemented with probiotics, contributing to the improvement of image analysis techniques in animal tissue models.
publishDate 2020
dc.date.none.fl_str_mv 2020-11-11
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://rsdjournal.org/index.php/rsd/article/view/9586
10.33448/rsd-v9i11.9586
url https://rsdjournal.org/index.php/rsd/article/view/9586
identifier_str_mv 10.33448/rsd-v9i11.9586
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://rsdjournal.org/index.php/rsd/article/view/9586/8690
dc.rights.driver.fl_str_mv https://creativecommons.org/licenses/by/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Research, Society and Development
publisher.none.fl_str_mv Research, Society and Development
dc.source.none.fl_str_mv Research, Society and Development; Vol. 9 No. 11; e1459119586
Research, Society and Development; Vol. 9 Núm. 11; e1459119586
Research, Society and Development; v. 9 n. 11; e1459119586
2525-3409
reponame:Research, Society and Development
instname:Universidade Federal de Itajubá (UNIFEI)
instacron:UNIFEI
instname_str Universidade Federal de Itajubá (UNIFEI)
instacron_str UNIFEI
institution UNIFEI
reponame_str Research, Society and Development
collection Research, Society and Development
repository.name.fl_str_mv Research, Society and Development - Universidade Federal de Itajubá (UNIFEI)
repository.mail.fl_str_mv rsd.articles@gmail.com
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