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Gumenyuk I.S.

Kuban State Medical University, Ministry of Health of the Russian Federation, Krasnodar, Russia

Chuprinenko L.M.

Kuban State Medical University, Ministry of Health of the Russian Federation, Krasnodar, Russia

Sotnichenko A.S.

Kuban State Medical University, Ministry of Health of the Russian Federation, Krasnodar, Russia

Gaivoronskaya T.V.

Kuban State Medical University, Ministry of Health of the Russian Federation, Krasnodar, Russia

Gumenyuk S.E.

Kuban State Medical University

Gubareva E.A.

Kuban State Medical University, Ministry of Health of the Russian Federation, Krasnodar, Russia

Kuevda E.V.

Kuban State Medical University, Ministry of Health of the Russian Federation, Krasnodar, Russia

Krutova V.A.

Kuban State Medical University, Ministry of Health of the Russian Federation, Krasnodar, Russia

Alekseenko S.N.

Kuban State Medical University, Ministry of Health of the Russian Federation, Krasnodar, Russia

Automatic morphometric analysis as a method for determining the level of extracellular matrix components and for quantifying nuclear antigens

Authors:

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.

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Journal: Russian Journal of Archive of Pathology. 2017;79(5): 49‑56

DOI: 10.17116/patol201779549-56

Read: 2557 times

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Table of contents

AUTOMATIC MORPHOMETRIC ANALYSIS AS A METHOD FOR DETERMINING THE LEVEL OF EXTRACELLULAR MATRIX COMPONENTS AND FOR QUANTIFYING NUCLEAR ANTIGENS
AUTOMATIC MORPHOMETRIC ANALYSIS AS A METHOD FOR DETERMINING THE LEVEL OF EXTRACELLULAR MATRIX COMPONENTS AND FOR QUANTIFYING NUCLEAR ANTIGENS

To cite this article:

Gumenyuk IS, Chuprinenko LM, Sotnichenko AS, et al. . Automatic morphometric analysis as a method for determining the level of extracellular matrix components and for quantifying nuclear antigens. Russian Journal of Archive of Pathology. 2017;79(5):49‑56. (In Russ.)
https://doi.org/10.17116/patol201779549-56

 
Подписка 2026 Архив патологии (Russian Journal of Archive of Pathology)
МСФ на ЯМ
Использование инфографики авторами научных работ
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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.

Keywords:

morphometric analysis
image analysis
color deconvolution
immunohistochemical examination
extracellular matrix proteins
Ki-67

Authors:

Gumenyuk I.S.

Kuban State Medical University, Ministry of Health of the Russian Federation, Krasnodar, Russia

Chuprinenko L.M.

Kuban State Medical University, Ministry of Health of the Russian Federation, Krasnodar, Russia

Sotnichenko A.S.

Kuban State Medical University, Ministry of Health of the Russian Federation, Krasnodar, Russia

Gaivoronskaya T.V.

Kuban State Medical University, Ministry of Health of the Russian Federation, Krasnodar, Russia

Gumenyuk S.E.

Kuban State Medical University

Gubareva E.A.

Kuban State Medical University, Ministry of Health of the Russian Federation, Krasnodar, Russia

Kuevda E.V.

Kuban State Medical University, Ministry of Health of the Russian Federation, Krasnodar, Russia

Krutova V.A.

Kuban State Medical University, Ministry of Health of the Russian Federation, Krasnodar, Russia

Alekseenko S.N.

Kuban State Medical University, Ministry of Health of the Russian Federation, Krasnodar, Russia

Close metadata

References:

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