Techniques of digital image analysis for histological quantification of melanin

Techniques of digital image analysis for histological quantification of melanin

Morphometric analysis of tissue melanin may quantitatively contribute to research on pigmentation disorders. The authors present three methods for image analysis, which allow for identification of melanin-equivalent pixels in the epidermis using Fontana-Masson stain and, therefore, for the calculation of its percentage in the different epidermal layers. Moreover, they discuss the main elements related to the analysis and the need for rigorous standardization of the process.

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Main Authors: Miot,Hélio Amante, Brianezi,Gabrielli, Tamega,Andréia de Almeida, Miot,Luciane Donida Bartoli
Format: Digital revista
Language:English
Published: Sociedade Brasileira de Dermatologia 2012
Online Access:http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0365-05962012000400014
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spelling oai:scielo:S0365-059620120004000142012-08-10Techniques of digital image analysis for histological quantification of melaninMiot,Hélio AmanteBrianezi,GabrielliTamega,Andréia de AlmeidaMiot,Luciane Donida Bartoli Cluster analysis Image cytometry Melanin Melanosis Pigmentation disorders Morphometric analysis of tissue melanin may quantitatively contribute to research on pigmentation disorders. The authors present three methods for image analysis, which allow for identification of melanin-equivalent pixels in the epidermis using Fontana-Masson stain and, therefore, for the calculation of its percentage in the different epidermal layers. Moreover, they discuss the main elements related to the analysis and the need for rigorous standardization of the process.info:eu-repo/semantics/openAccessSociedade Brasileira de DermatologiaAnais Brasileiros de Dermatologia v.87 n.4 20122012-08-01info:eu-repo/semantics/articletext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0365-05962012000400014en10.1590/S0365-05962012000400014
institution SCIELO
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country Brasil
countrycode BR
component Revista
access En linea
databasecode rev-scielo-br
tag revista
region America del Sur
libraryname SciELO
language English
format Digital
author Miot,Hélio Amante
Brianezi,Gabrielli
Tamega,Andréia de Almeida
Miot,Luciane Donida Bartoli
spellingShingle Miot,Hélio Amante
Brianezi,Gabrielli
Tamega,Andréia de Almeida
Miot,Luciane Donida Bartoli
Techniques of digital image analysis for histological quantification of melanin
author_facet Miot,Hélio Amante
Brianezi,Gabrielli
Tamega,Andréia de Almeida
Miot,Luciane Donida Bartoli
author_sort Miot,Hélio Amante
title Techniques of digital image analysis for histological quantification of melanin
title_short Techniques of digital image analysis for histological quantification of melanin
title_full Techniques of digital image analysis for histological quantification of melanin
title_fullStr Techniques of digital image analysis for histological quantification of melanin
title_full_unstemmed Techniques of digital image analysis for histological quantification of melanin
title_sort techniques of digital image analysis for histological quantification of melanin
description Morphometric analysis of tissue melanin may quantitatively contribute to research on pigmentation disorders. The authors present three methods for image analysis, which allow for identification of melanin-equivalent pixels in the epidermis using Fontana-Masson stain and, therefore, for the calculation of its percentage in the different epidermal layers. Moreover, they discuss the main elements related to the analysis and the need for rigorous standardization of the process.
publisher Sociedade Brasileira de Dermatologia
publishDate 2012
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0365-05962012000400014
work_keys_str_mv AT miothelioamante techniquesofdigitalimageanalysisforhistologicalquantificationofmelanin
AT brianezigabrielli techniquesofdigitalimageanalysisforhistologicalquantificationofmelanin
AT tamegaandreiadealmeida techniquesofdigitalimageanalysisforhistologicalquantificationofmelanin
AT miotlucianedonidabartoli techniquesofdigitalimageanalysisforhistologicalquantificationofmelanin
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