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• W2273669143 abstract "Abstract The aim of this study is to determine the ability and consequent significance of fractal and lacunarity analysis together with computational morphometric and gray-level co-occurrence matrix (GLCM) analysis in detecting subtle initial UVB-induced chromatin and cytosolic changes in neutrophil granulocytes. In addition, the direction and potential significance of the observed changes is speculated. Feulgen-stained neutrophils are pictured and their digitalized images are analyzed in specialized software for digital image processing and ImageJ analysis. Significant statistical difference is observed ( p <0.01) between UV-treated neutrophils and controls in the vast majority of cytoplasmic morphometric parameters. Nuclear GLCM analysis was very sensitive with just GLCM homogeneity as non-significant between UV-treated cells and controls ( p >0.05). For other parameters there was mostly high statistical significance ( p >0.05). Significant unmatched correlations were found as sensitive markers of early morphological changes in cells exposed to UV light. In addition, the correlation between nuclear area and entropy was determined and was highly significant ( p <0.001). UVB light, due to its high absorbance by DNA molecules, leads to double behavior of the cells. On one hand, cells start to rearrange but on the other UV light starts very early to immediately damage the cell. All these processes are very subtle in their intensity and GLCM analysis and computational imaging methods based on fractal geometry, i.e. fractal and morphometric analysis, in particular their combination, are very sensitive for detecting and describing these early chromatin changes." @default.
• W2273669143 created "2016-06-24" @default.
• W2273669143 creator A5033279522 @default.
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• W2273669143 date "2016-02-24" @default.
• W2273669143 modified "2023-10-14" @default.
• W2273669143 title "Incipient UV-Induced Structural Changes in Neutrophil Granulocytes: Morphometric and Texture Analysis of Two-Dimensional Digital Images" @default.
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• W2273669143 doi "https://doi.org/10.1017/s1431927616000532" @default.
• W2273669143 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/26906218" @default.
• W2273669143 hasPublicationYear "2016" @default.
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