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

Authorized Users Only
2019
Authors
Dragić, Milorad
Zarić, Marina
Mitrović, Nataša Lj.
Nedeljković, Nadežda
Grković, Ivana
Article (Published version)
,
© 2019 Microscopy Society of America
Metadata
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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 strongl...y 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 '-nucleotidase / enzyme histochemistry / gray-level co-occurrence matrix / pathology / texture analysis
Source:
Microscopy and Microanalysis, 2019, 25, 3, 690-698
Funding / projects:
  • Cellular and molecular basis of neuroinflamation: potential targets for translational medicine and therapy (RS-41014)
  • Molecular mechanisms of cellular responses on pathological changes in central neuronal system and peripheral organs of mammals (RS-173044)

DOI: 10.1017/S1431927618016306

ISSN: 1431-9276

PubMed: 30714562

WoS: 000474798800013

Scopus: 2-s2.0-85061089731
[ Google Scholar ]
8
7
URI
https://vinar.vin.bg.ac.rs/handle/123456789/8489
Collections
  • Radovi istraživača
Institution/Community
Vinča
TY  - JOUR
AU  - Dragić, Milorad
AU  - Zarić, Marina
AU  - Mitrović, Nataša Lj.
AU  - Nedeljković, Nadežda
AU  - Grković, Ivana
PY  - 2019
UR  - https://vinar.vin.bg.ac.rs/handle/123456789/8489
AB  - 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.
T2  - Microscopy and Microanalysis
T1  - Application of Gray Level Co-Occurrence Matrix Analysis as a New Method for Enzyme Histochemistry Quantification
VL  - 25
IS  - 3
SP  - 690
EP  - 698
DO  - 10.1017/S1431927618016306
ER  - 
@article{
author = "Dragić, Milorad and Zarić, Marina and Mitrović, Nataša Lj. and Nedeljković, Nadežda and Grković, Ivana",
year = "2019",
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.",
journal = "Microscopy and Microanalysis",
title = "Application of Gray Level Co-Occurrence Matrix Analysis as a New Method for Enzyme Histochemistry Quantification",
volume = "25",
number = "3",
pages = "690-698",
doi = "10.1017/S1431927618016306"
}
Dragić, M., Zarić, M., Mitrović, N. Lj., Nedeljković, N.,& Grković, I.. (2019). Application of Gray Level Co-Occurrence Matrix Analysis as a New Method for Enzyme Histochemistry Quantification. in Microscopy and Microanalysis, 25(3), 690-698.
https://doi.org/10.1017/S1431927618016306
Dragić M, Zarić M, Mitrović NL, Nedeljković N, Grković I. Application of Gray Level Co-Occurrence Matrix Analysis as a New Method for Enzyme Histochemistry Quantification. in Microscopy and Microanalysis. 2019;25(3):690-698.
doi:10.1017/S1431927618016306 .
Dragić, Milorad, Zarić, Marina, Mitrović, Nataša Lj., Nedeljković, Nadežda, Grković, Ivana, "Application of Gray Level Co-Occurrence Matrix Analysis as a New Method for Enzyme Histochemistry Quantification" in Microscopy and Microanalysis, 25, no. 3 (2019):690-698,
https://doi.org/10.1017/S1431927618016306 . .

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