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AUTOMATED SCORING AND ANALYSIS OF MICRONUCLEATED HUMAN LYMPHOCYTES.

机译:微核人淋巴细胞的自动评分和分析。

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摘要

Physical and chemical mutagens and carcinogens in our environment produce chromosome abberations in the circulating peripheral blood lymphocytes. The abberations, in turn, give rise to micronuclei when the lymphocytes proliferate in culture. In order to improve the micronucleus assay as a method for screening human populations for chromosome damage, I have (1) developed a high-resolution optical low-light-level micrometry expert system (HOLMES) to digitize and process microscope images of micronuclei in human peripheral blood lymphocytes, (2) defined a protocol of image processing techniques to objectively and uniquely identify and score micronuclei, and (3) analysed digital images of lymphocytes in order to study methods for (a) verifying the identification of suspect micronuclei, (b) classifying proliferating and non-proliferating lymphocytes, and (c) understanding the mechanisms of micronuclei formation and micronuclei fate during cell division.;For the purpose of scoring micronuclei, HOLMES promises to (a) improve counting statistics since a greater number of cells can be scored without operator/microscopist fatigue, (b) provide for a more objective and consistent criterion for the identification of micronuclei than the human observer, and (c) yield quantitative information on nuclear and micronuclear characteristics useful in better understanding the micronucleus life cycle.;My results on computer aided identification of micronuclei on microscope slides are gratifying. They demonstrate that automation of the micronucleus assay is feasible. Manual verification of HOLMES' results show correct extraction of micronuclei from the scene for 70% of the digitized images and correct identification of the micronuclei for 90% of the extracted objects.;Moreover, quantitative analysis on digitized images of lymphocytes using HOLMES has revealed several exciting results: (a) micronuclear DNA content may be estimated from simple area measurements, (b) micronuclei seem to originate not only from chromosome fragments or from whole chromosomes, but also from dicentrics, (c) distributions of DNA content may serve as a means to identify the type of chromosome damage that had been incurred (i.e. ionizing radiation or chemicals), and (d) texture analysis coupled with feature analysis may allow us to estimate the number of proliferating lymphocytes and in turn compute the extent of chromosome damage more accurately.
机译:我们环境中的物理和化学诱变剂和致癌物会在循环的外周血淋巴细胞中产生染色体畸变。当淋巴细胞在培养物中增殖时,这些反光又会产生微核。为了改进微核检测方法,作为筛选人群染色体损伤的一种方法,我已经(1)开发了高分辨率的光学微光微法专家系统(HOLMES),以数字化处理人类微核的显微镜图像(2)定义了一种图像处理技术的协议,以客观,唯一地识别和评分微核;(3)分析了淋巴细胞的数字图像,以研究用于(a)验证可疑微核的识别的方法;(b )对增殖和非增殖淋巴细胞进行分类,以及(c)了解细胞分裂过程中微核形成和微核命运的机制。;为了对微核进行评分,HOLMES承诺(a)改进计数统计,因为可以容纳更多的细胞在没有操作员/显微镜师疲劳的情况下进行评分,(b)为鉴定微核提供了比客观更一致的标准一位人类观察者,以及(c)提供关于核和微核特征的定量信息,有助于更好地了解微核的生命周期。我在显微镜载玻片上通过计算机辅助识别微核的结果令人欣喜。他们证明了微核分析的自动化是可行的。手动验证HOLMES的结果表明,可以从现场正确提取70%的数字化图像中的微核,并可以正确识别90%的提取对象中的微核。此外,使用HOLMES对淋巴细胞的数字化图像进行定量分析后发现令人兴奋的结果:(a)微核DNA含量可以通过简单的面积测量来估算,(b)微核似乎不仅起源于染色体片段或整个染色体,而且还起源于双着丝粒,(c)DNA含量的分布可以作为识别已经发生的染色体损伤类型的手段(即电离辐射或化学物质),以及(d)质构分析与特征分析相结合,可以让我们估计增殖淋巴细胞的数量,进而计算出染色体损伤的程度准确。

著录项

  • 作者

    CALLISEN, HANNES HEINRICH.;

  • 作者单位

    University of California, Los Angeles.;

  • 授予单位 University of California, Los Angeles.;
  • 学科 Physics Radiation.
  • 学位 Ph.D.
  • 年度 1984
  • 页码 119 p.
  • 总页数 119
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 原子核物理学、高能物理学;
  • 关键词

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