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Gray level co-occurrence matrix algorithm as pattern recognition biosensor for oxidopamine-induced changes in
Igor Pantic1, Draga Dimitrijevic2, Dejan Nesic1
1Laboratory for cellular physiology, Institute of medical physiology, School of medicine, University of Belgrade, Visegradska 26/II, RS-11129 Belgrade, Serbia.
Journal of Theoretical Biology
|July 19, 2016
Summary
Oxidopamine (6-hydroxydopamine) causes dose-dependent changes in lymphocyte chromatin texture. The Gray Level Co-occurrence Matrix (GLCM) method quantifies these early apoptotic changes, offering insights beyond conventional microscopy.
Area of Science:
- Biophysics
- Cell Biology
- Computational Pathology
Background:
- Apoptosis, or programmed cell death, involves significant morphological changes in chromatin structure.
- Detecting early apoptotic changes in lymphocytes is crucial for understanding cellular health and disease.
- Conventional microscopy often fails to detect subtle, early-stage chromatin alterations.
Purpose of the Study:
- To investigate the effects of oxidopamine (6-hydroxydopamine) on lymphocyte chromatin texture.
- To evaluate the efficacy of the Gray Level Co-occurrence Matrix (GLCM) method in quantifying these changes.
- To determine if GLCM can detect early apoptotic structural alterations not visible with traditional methods.
Main Methods:
- Peripheral blood lymphocytes were treated with varying concentrations (100, 200, 300µM) of oxidopamine.
- DNA was visualized using a modified Feulgen staining method after methanol fixation.
- Texture analysis was performed on 120 lymphocyte nuclei micrographs using five GLCM features (angular second moment, entropy, inverse difference moment, correlation, variance).
Main Results:
- Oxidopamine induced significant, dose-dependent changes in chromatin texture.
- GLCM analysis revealed increased GLCM entropy and variance, and decreased angular second moment, correlation, and inverse difference moment.
- These GLCM parameter changes were statistically significant (p<0.001).
Conclusions:
- The Gray Level Co-occurrence Matrix (GLCM) method can effectively quantify structural changes in Feulgen-stained lymphocyte chromatin.
- GLCM analysis provides a sensitive tool for detecting early apoptotic alterations in chromatin.
- This computational approach may enhance the early diagnosis of conditions involving apoptosis.
