Association between Chromatin Structural Organization of Peripheral Blood Neutrophils and Self-Perceived Mental Stress: Gray-Level Co-occurrence Matrix Analysis

Methods based on the evaluation of textural patterns in microscopy, such as the “gray-level co-occurrence matrix” (GLCM) analysis are modern and innovative computer and mathematical algorithms that can be used to quantify subtle structural changes in cells and their organelles. Potential application...

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Veröffentlicht in:	Microscopy and microanalysis 2021-10, Vol.27 (5), p.1-1208
Hauptverfasser:	Topalovic, Nikola, Mazic, Sanja, Nesic, Dejan, Vukovic, Olivera, Cumic, Jelena, Laketic, Darko, Stasevic Karlicic, Ivana, Pantic, Igor
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Artificial intelligence Athletes Blood Chromatin Granulocytes Homogeneity Learning algorithms Leukocytes (neutrophilic) Machine learning Mathematical analysis Matrix methods Medicine Mental depression Morphology Neutrophils Organelles Peripheral blood Physiology Psychiatry Psychological stress Psychophysiology Software Stress Values
Online-Zugang:	Volltext
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