In our study we investigated the relationship between conventional morphometric indicators of nuclear size and shape (area and circularity) and the parameters of gray level co-occurrence matrix texture analysis (entropy, homogeneity, and angular second moment) in cells committed to apoptosis. A total of 432 lymphocyte nuclei images from the spleen germinal center light zones (cells in early stages of apoptosis) were obtained from eight healthy male guinea pigs previously immunized with sheep red blood cells (antigen). For each nucleus, area, circularity, entropy, homogeneity, and angular second moment were determined. All measured parameters of gray level co-occurrence matrix (GLCM) were significantly correlated with morphometric indicators of nuclear size and shape. The strongest correlation was observed between GLCM homogeneity and nuclear area (p < 0.0001, r(s) = 0.61). Angular second moment values were also highly significantly correlated with nuclear area (r(s)= 0.39, p < 0.0001). These results indicate that the GLCM method may be a powerful tool in evaluation of ultrastructural nuclear changes during early stages of the apoptotic process.

An observation study in mice suggesting that the chromatin of macula densa cells undergoes loss of structural complexity that is most pronounced immediately after birth and remains during the first month of postnatal life. The findings add to the knowledge about the changes that take place in the kidney during postnatal development function and tissue structural organization, which are linked to changes in physiological function. ABSTRACT:Aim: To determine whether complexity of chromatin structure in kidney macula densa cells (MDC) decreases during postnatal development in mice.Methods: The levels of chromatin structural complexity were measured by determining fractal dimension of MDC nuclei. Kidney tissue was obtained from the total of 32 male Swiss albino mice divided into four age groups (n = 8): newborn (0 days), 10 days old, 20 days old and 30 days old. For a total of 640 MDC chromatin structures, fractal dimension, lacunarity, as well as parameters of Grey level co-occurrence matrix (GLCM) texture were determined.Results: Chromatin fractal dimension in animals aged 10 days, 20 days and 30 days was significantly lower (P < 0.05, P < 0.01 and P < 0.001, respectively), compared with newborn mice. This complexity reduction of chromatin architecture is in accordance with previously published studies, which detected generalized and sustained loss of both tissue and cell complexity during aging. The loss of complexity was texture-independent, since there was no statistically significant difference (P > 0.05) in both chromatin angular second moment and inverse difference moment between the age groups. Conclusion:Our results indicate that age-related nuclear intrinsic factors which do not influence chromatin texture may have an important role in MDC postnatal development.

This aim of this study was to assess the discriminatory value of fractal and grey level co-occurrence matrix (GLCM) analysis methods in standard microscopy analysis of two histologically similar brain white mass regions that have different nerve fiber orientation. A total of 160 digital micrographs of thionine-stained rat brain white mass were acquired using a Pro-MicroScan DEM-200 instrument. Eighty micrographs from the anterior corpus callosum and eighty from the anterior cingulum areas of the brain were analyzed. The micrographs were evaluated using the National Institutes of Health ImageJ software and its plugins. For each micrograph, seven parameters were calculated: angular second moment, inverse difference moment, GLCM contrast, GLCM correlation, GLCM variance, fractal dimension, and lacunarity. Using the Receiver operating characteristic analysis, the highest discriminatory value was determined for inverse difference moment (IDM) (area under the receiver operating characteristic (ROC) curve equaled 0.925, and for the criterion IDM≤0.610 the sensitivity and specificity were 82.5 and 87.5%, respectively). Most of the other parameters also showed good sensitivity and specificity. The results indicate that GLCM and fractal analysis methods, when applied together in brain histology analysis, are highly capable of discriminating white mass structures that have different axonal orientation.

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Germinal center texture entropy may be a powerful indicator of humoral immune response. This study is one of the first to point out the potential scientific value of GLCM image texture analysis in lymphoid tissue cytoarchitecture evaluation. Lymphoid tissue texture analysis could become an important and affordable addition to the conventional immunophysiology techniques.