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[Automatic morphometric analysis as a method for determining the level of extracellular matrix components and for quantifying nuclear antigens]. / Avtomatizirovannyi morfometricheskii analiz kak metod opredeleniia soderzhaniia komponentov vnekletochnogo matriksa i kolichestvennoi otsenki iadernykh antigenov.
Gumenyuk, I S; Chuprinenko, L M; Sotnichenko, A S; Gaivoronskaya, T V; Gumenyuk, S E; Gubareva, E A; Kuevda, E V; Krutova, V A; Alekseenko, S N.
Afiliação
  • Gumenyuk IS; Kuban State Medical University, Ministry of Health of the Russian Federation, Krasnodar, Russia.
  • Chuprinenko LM; Kuban State Medical University, Ministry of Health of the Russian Federation, Krasnodar, Russia.
  • Sotnichenko AS; Kuban State Medical University, Ministry of Health of the Russian Federation, Krasnodar, Russia.
  • Gaivoronskaya TV; Kuban State Medical University, Ministry of Health of the Russian Federation, Krasnodar, Russia.
  • Gumenyuk SE; Kuban State Medical University, Ministry of Health of the Russian Federation, Krasnodar, Russia.
  • Gubareva EA; Kuban State Medical University, Ministry of Health of the Russian Federation, Krasnodar, Russia.
  • Kuevda EV; Kuban State Medical University, Ministry of Health of the Russian Federation, Krasnodar, Russia.
  • Krutova VA; Kuban State Medical University, Ministry of Health of the Russian Federation, Krasnodar, Russia.
  • Alekseenko SN; Kuban State Medical University, Ministry of Health of the Russian Federation, Krasnodar, Russia.
Arkh Patol ; 79(5): 49-56, 2017.
Article em Ru | MEDLINE | ID: mdl-29027530
ABSTRACT
Automated image analysis methods are highly important for biotechnology research. The authors developed and tested a program for the morphometric analysis of photomicrographs of the sections processed using the standard immunohistochemical examination protocols. The color deconvolution method used in the algorithm was proven to be effective in mapping the distribution of DAB chromogen in the sample containing multiple dyes. The experiment demonstrated that the level of extracellular matrix proteins could be comparatively quantified in different groups of samples. The effective methods for the quantitative analysis of the Ki-67 labelling index were also tested using the same algorithms. The developed program was published under free GPL 3.0.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Processamento de Imagem Assistida por Computador / Imuno-Histoquímica / Antígenos Nucleares / Matriz Extracelular Limite: Humans Idioma: Ru Revista: Arkh Patol Ano de publicação: 2017 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Processamento de Imagem Assistida por Computador / Imuno-Histoquímica / Antígenos Nucleares / Matriz Extracelular Limite: Humans Idioma: Ru Revista: Arkh Patol Ano de publicação: 2017 Tipo de documento: Article