Nuclear entropy, angular second moment, variance and texture correlation of thymus cortical and medullar lymphocytes: Grey level co-occurrence matrix analysis

Grey level co-occurrence matrix analysis (GLCM) is a well-known mathematical method for quantification of cell and tissue textural properties, such as homogeneity, complexity and level of disorder. Recently, it was demonstrated that this method is capable of evaluating fine structural changes in nuc...

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Main Authors: IGOR PANTIC, SENKA PANTIC, JOVANA PAUNOVIC, MILAN PEROVIC
Format: Article
Language:English
Published: Academia Brasileira de Ciências 2013-09-01
Series:Anais da Academia Brasileira de Ciências
Subjects:
Online Access:http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652013000301063&lng=en&tlng=en
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author IGOR PANTIC
SENKA PANTIC
JOVANA PAUNOVIC
MILAN PEROVIC
author_facet IGOR PANTIC
SENKA PANTIC
JOVANA PAUNOVIC
MILAN PEROVIC
author_sort IGOR PANTIC
collection DOAJ
description Grey level co-occurrence matrix analysis (GLCM) is a well-known mathematical method for quantification of cell and tissue textural properties, such as homogeneity, complexity and level of disorder. Recently, it was demonstrated that this method is capable of evaluating fine structural changes in nuclear structure that otherwise are undetectable during standard microscopy analysis. In this article, we present the results indicating that entropy, angular second moment, variance, and texture correlation of lymphocyte nuclear structure determined by GLCM method are different in thymus cortex when compared to medulla. A total of 300 thymus lymphocyte nuclei from 10 one-month-old mice were analyzed: 150 nuclei from cortex and 150 nuclei from medullar regions of thymus. Nuclear GLCM analysis was carried out using National Institutes of Health ImageJ software. For each nucleus, entropy, angular second moment, variance and texture correlation were determined. Cortical lymphocytes had significantly higher chromatin angular second moment (p < 0.001) and texture correlation (p < 0.05) compared to medullar lymphocytes. Nuclear GLCM entropy and variance of cortical lymphocytes were on the other hand significantly lower than in medullar lymphocytes (p < 0.001). These results suggest that GLCM as a method might have a certain potential in detecting discrete changes in nuclear structure associated with lymphocyte migration and maturation in thymus.
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spelling doaj.art-2f08799a296546839b84d84558bf76b52022-12-21T19:40:06ZengAcademia Brasileira de CiênciasAnais da Academia Brasileira de Ciências1678-26902013-09-018531063107210.1590/S0001-37652013005000045S0001-37652013000301063Nuclear entropy, angular second moment, variance and texture correlation of thymus cortical and medullar lymphocytes: Grey level co-occurrence matrix analysisIGOR PANTICSENKA PANTICJOVANA PAUNOVICMILAN PEROVICGrey level co-occurrence matrix analysis (GLCM) is a well-known mathematical method for quantification of cell and tissue textural properties, such as homogeneity, complexity and level of disorder. Recently, it was demonstrated that this method is capable of evaluating fine structural changes in nuclear structure that otherwise are undetectable during standard microscopy analysis. In this article, we present the results indicating that entropy, angular second moment, variance, and texture correlation of lymphocyte nuclear structure determined by GLCM method are different in thymus cortex when compared to medulla. A total of 300 thymus lymphocyte nuclei from 10 one-month-old mice were analyzed: 150 nuclei from cortex and 150 nuclei from medullar regions of thymus. Nuclear GLCM analysis was carried out using National Institutes of Health ImageJ software. For each nucleus, entropy, angular second moment, variance and texture correlation were determined. Cortical lymphocytes had significantly higher chromatin angular second moment (p < 0.001) and texture correlation (p < 0.05) compared to medullar lymphocytes. Nuclear GLCM entropy and variance of cortical lymphocytes were on the other hand significantly lower than in medullar lymphocytes (p < 0.001). These results suggest that GLCM as a method might have a certain potential in detecting discrete changes in nuclear structure associated with lymphocyte migration and maturation in thymus.http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652013000301063&lng=en&tlng=enanalise de texturamatriz GLCMCD4CD8gene
spellingShingle IGOR PANTIC
SENKA PANTIC
JOVANA PAUNOVIC
MILAN PEROVIC
Nuclear entropy, angular second moment, variance and texture correlation of thymus cortical and medullar lymphocytes: Grey level co-occurrence matrix analysis
Anais da Academia Brasileira de Ciências
analise de textura
matriz GLCM
CD4
CD8
gene
title Nuclear entropy, angular second moment, variance and texture correlation of thymus cortical and medullar lymphocytes: Grey level co-occurrence matrix analysis
title_full Nuclear entropy, angular second moment, variance and texture correlation of thymus cortical and medullar lymphocytes: Grey level co-occurrence matrix analysis
title_fullStr Nuclear entropy, angular second moment, variance and texture correlation of thymus cortical and medullar lymphocytes: Grey level co-occurrence matrix analysis
title_full_unstemmed Nuclear entropy, angular second moment, variance and texture correlation of thymus cortical and medullar lymphocytes: Grey level co-occurrence matrix analysis
title_short Nuclear entropy, angular second moment, variance and texture correlation of thymus cortical and medullar lymphocytes: Grey level co-occurrence matrix analysis
title_sort nuclear entropy angular second moment variance and texture correlation of thymus cortical and medullar lymphocytes grey level co occurrence matrix analysis
topic analise de textura
matriz GLCM
CD4
CD8
gene
url http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652013000301063&lng=en&tlng=en
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AT senkapantic nuclearentropyangularsecondmomentvarianceandtexturecorrelationofthymuscorticalandmedullarlymphocytesgreylevelcooccurrencematrixanalysis
AT jovanapaunovic nuclearentropyangularsecondmomentvarianceandtexturecorrelationofthymuscorticalandmedullarlymphocytesgreylevelcooccurrencematrixanalysis
AT milanperovic nuclearentropyangularsecondmomentvarianceandtexturecorrelationofthymuscorticalandmedullarlymphocytesgreylevelcooccurrencematrixanalysis