...
首页> 外文期刊>Anais da Academia Brasileira de Ciências >Nuclear entropy, angular second moment, variance and texture correlation of thymus cortical and medullar lymphocytes: Grey level co-occurrence matrix analysis
【24h】

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

机译:胸腺皮质和髓样淋巴细胞的核熵,角秒矩,方差和纹理相关性:灰度共生矩阵分析

获取原文
获取原文并翻译 | 示例

摘要

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.
机译:灰度共生矩阵分析(GLCM)是一种众所周知的数学方法,用于量化细胞和组织的纹理特性,例如同质性,复杂性和混乱程度。最近,已证明该方法能够评估核结构中的精细结构变化,而这些变化在标准显微镜分析中是无法检测到的。在本文中,我们提出的结果表明,与延髓相比,通过GLCM方法确定的淋巴细胞核结构的熵,角秒矩,方差和纹理相关性在胸腺皮质中是不同的。分析了来自10个1个月大小鼠的总共300个胸腺淋巴细胞核:来自皮质的150个核和来自胸腺髓质区域的150个核。使用国立卫生研究院ImageJ软件进行了核GLCM分析。对于每个核,确定了熵,第二矩角,方差和纹理相关性。与髓样淋巴细胞相比,皮质淋巴细胞的染色质角秒矩(p <0.001)和质构相关性(p <0.05)高得多。另一方面,核GLCM熵和皮质淋巴细胞的变异显着低于髓质淋巴细胞(p <0.001)。这些结果表明,GLCM作为一种方法在检测与胸腺中淋巴细胞迁移和成熟相关的核结构离散变化方面可能具有一定的潜力。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号