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Application of Gray Level Co-Occurrence Matrix Analysis as a New Method for Enzyme Histochemistry Quantification

Published online by Cambridge University Press:  04 February 2019

Milorad Dragić ,
Marina Zarić ,
Nataša Mitrović ,
Nadežda Nedeljković  and
Ivana Grković
Milorad Dragić*
Affiliation:
Department for General Physiology and Biophysics, Faculty of Biology, University of Belgrade, Belgrade, Studentski trg 3, 11001 Belgrade, Serbia Department of Molecular Biology and Endocrinology, Vinča Institute of Nuclear Sciences, University of Belgrade, Mike Petrovića Alasa 12-14, 11001 Belgrade, Serbia
Marina Zarić
Affiliation:
Department of Molecular Biology and Endocrinology, Vinča Institute of Nuclear Sciences, University of Belgrade, Mike Petrovića Alasa 12-14, 11001 Belgrade, Serbia
Nataša Mitrović
Affiliation:
Department of Molecular Biology and Endocrinology, Vinča Institute of Nuclear Sciences, University of Belgrade, Mike Petrovića Alasa 12-14, 11001 Belgrade, Serbia
Nadežda Nedeljković
Affiliation:
Department for General Physiology and Biophysics, Faculty of Biology, University of Belgrade, Belgrade, Studentski trg 3, 11001 Belgrade, Serbia
Ivana Grković
Affiliation:
Department of Molecular Biology and Endocrinology, Vinča Institute of Nuclear Sciences, University of Belgrade, Mike Petrovića Alasa 12-14, 11001 Belgrade, Serbia
*
*Author for correspondence: Milorad Dragić, E-mail: [email protected]
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Abstract

Enzyme histochemistry is a valuable histological method which provides a connection between morphology, activity, and spatial localization of investigated enzymes. Even though the method relies purely on arbitrary evaluations performed by the human eye, it is still wildly accepted and used in histo(patho)logy. Texture analysis emerged as an excellent tool for image quantification of subtle differences reflected in both spatial discrepancies and gray level values of pixels. The current study of texture analysis utilizes the gray-level co-occurrence matrix as a method for quantification of differences between ecto-5′-nucleotidase activities in healthy hippocampal tissue and tissue with marked neurodegeneration. We used the angular second moment, contrast (CON), correlation, inverse difference moment (INV), and entropy for texture analysis and receiver operating characteristic analysis with immunoblot and qualitative assessment of enzyme histochemistry as a validation. Our results strongly argue that co-occurrence matrix analysis could be used for the determination of fine differences in the enzyme activities with the possibility to ascribe those differences to regions or specific cell types. In addition, it emerged that INV and CON are especially useful parameters for this type of enzyme histochemistry analysis. We concluded that texture analysis is a reliable method for quantification of this descriptive technique, thus removing biases and adding it a quantitative dimension.

Keywords

ecto-5′-nucleotidaseenzyme histochemistrygray-level co-occurrence matrixpathologytexture analysis
Type
Software and Instrumentation
Information
Microscopy and Microanalysis , Volume 25 , Issue 3 , June 2019 , pp. 690 - 698
Copyright
Copyright © Microscopy Society of America 2019 

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