Application of Gray Level Co-Occurrence Matrix Analysis as a New Method for Enzyme Histochemistry Quantification
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2019
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© 2019 Microscopy Society of America
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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.
Ključne reči:
ecto-5 '-nucleotidase / enzyme histochemistry / gray-level co-occurrence matrix / pathology / texture analysisIzvor:
Microscopy and Microanalysis, 2019, 25, 3, 690-698Finansiranje / projekti:
- Ćelijska i molekulska osnova neuroinflamacije: potencijala ciljna mesta za translacionu medicinu i terapiju (RS-MESTD-Integrated and Interdisciplinary Research (IIR or III)-41014)
- Molekularni mehanizmi patofizioloških promena u ćelijama centralnog nervnog sistema i perifernog tkiva kod sisara (RS-MESTD-Basic Research (BR or ON)-173044)
DOI: 10.1017/S1431927618016306
ISSN: 1431-9276
PubMed: 30714562
WoS: 000474798800013
Scopus: 2-s2.0-85061089731
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Institucija/grupa
VinčaTY - 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 . .