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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

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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 2025-2 (Russian Journal of Archive of Pathology)
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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

List of references:

  1. Badylak SF, Freytes DO, Gilbert TW. Extracellular matrix as a biological scaffold material: structure and function. Acta Biomater. 2009;5(1):1-13. https://doi.org/10.1016/j.actbio.2008.09.013
  2. Brown B, Lindberg K, Reing J, Stolz DB, Badylak SF. The basement membrane component of biologic scaffolds derived from extracellular matrix. Tissue Eng. 2006;12(3):519-526. https://doi.org/10.1089/ten.2006.12.519
  3. Goldhirsch A, Winer EP, Coates AS, Gelber RD, Piccart-Gebhart M, Thürlimann B, Senn HJ; Panel members. Personalizing the treatment of women with early breast cancer highlights of the St Gallen Internactional Exprt Consernus on the Primary Therapy of Early Breast Cancer 2013. Ann. Oncol. 2013;24(9):2206-2223. https://doi.org/10.1093/annonc/mdt303
  4. Dolzhnikov AA, Petrov SV. Trudnosti v vyjavlenii i ocenke urovnja proliferacii, jestrogenovyh i progesteronovyh receptorov. In: Bol’shaya konferenstiya RUSSCO: rak molochnoi zhelezy. Moscow: RUSSCO; 2014:62-67. (In Russ.).
  5. Baiguera S, Gonfiotti A, Jaus M, Comin CE, Paglierani M, Del Gaudio C, Macchiarini P. Development of bioengineered human larynx. Biomaterials. 2011;32(19):4433-4442. https://doi.org/10.1016/j.biomaterials.2011.02.055
  6. Sánchez PL, Fernández-Santos ME, Costanza S, Climent AM, Moscoso I, Gonzalez-Nicolas MA, et al. Acellular human heart matrix: a critical step toward whole heart grafts. Biomaterials. 2015;61:279-289. https://doi.org/10.1016/j.biomaterials.2015.04.056
  7. Loos CM. Multiple immunoenzyme staining: methods and visualizations for the observation with spectral imaging. J Histochem Cytochem. 2008;56(4):313-328. https://doi.org/10.1369/jhc.2007.950170
  8. Ruifrok AC, Johnston DA. Quantification of histochemical staining by color deconvolution. Anal Quant Cytol Histol. 2001;23(4): 291-299.
  9. Landini G, Perryer G. Digital enhancement of haematoxylin- and eosin-stained histological images for red-green colour-blind observers. J Microsc. 2009;234(3):293-301. https://doi.org/10.1111/j.1365-2818.2009.03174.x
  10. Landini G, Othman IE. Estimation of tissue layer level by sequential morphological reconstruction. J Microsc. 2003;209(2):118-125. https://doi.org/10.1046/j.1365-2818.2003.01113.x
  11. Delesse MA. Procédé mécanique pour déterminer la composition des roches. C R Acad Sci. (Paris). 1847;25:544-545.
  12. Avtandilov GG. Meditsinskaya morfometriya. Rukovodstvo. Moscow: Meditsina; 1990. (In Russ.).
  13. DAB analyzer. Ссылка активна на 2 июня 2016. Доступно по: https://github.com/meklon/DAB_analyzer/

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