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Identification of Raman spectroscopic markers for the characterization of normal and adenocarcinomatous colonic tissues.

机译:拉曼光谱标记的鉴定,用于鉴定正常和腺癌结肠组织。

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摘要

Raman spectroscopy has been recognised as a valuable analytical tool in biological and medical research. This technique allows probing molecular vibrations of samples without external labels or extensive preparation. This non-destructive optical technique can provide rapid and objective and reproducible measurements of sample biochemistry and identify variations that occur between healthy and diseased tissues. In fact, biochemical changes within tissue may either initiate disease or occur as a result of the disease process. The qualitative analysis of such changes provides important clues in the search for a specific diagnosis and the quantitative analysis of biochemical abnormalities is important in measuring the extent of the disease process, designing therapy and evaluating the efficacy of treatment. In this paper, we discuss one medical application of near-infrared Raman microspectroscopic imaging as a diagnostic tool to investigate, ex vivo, the changes between normal and adenocarcinomatous human colonic tissues. Multivariate statistical analysis was applied on these measured data to identify the molecular composition and distribution of lipids, proteins, mucus and collagens in normal and malignant tissue. Unsupervised hierarchical cluster analysis shows two unsupervised distinct clusters that were assigned to normal and adenocarcinomatous in accordance with conventional histopathological examination. The spectral images allowed good correlation between pseudo-color Raman and histopathological features.
机译:拉曼光谱已被认为是生物学和医学研究中有价值的分析工具。这项技术可以探测样品的分子振动,而无需外部标记或大量准备。这种无损光学技术可以提供对样品生物化学的快速,客观和可重复的测量,并识别健康组织和患病组织之间发生的变化。实际上,组织内的生化变化可能引发疾病或由于疾病过程而发生。对这些变化的定性分析为寻找具体诊断提供了重要的线索,生化异常的定量分析对于衡量疾病过程的程度,设计治疗方法和评估治疗效果非常重要。在本文中,我们讨论近红外拉曼显微成像作为一种诊断工具的医学应用,以体外研究正常人和腺癌人结肠组织之间的变化。对这些测量数据进行多变量统计分析,以鉴定正常和恶性组织中脂质,蛋白质,粘液和胶原蛋白的分子组成和分布。无监督的层次聚类分析显示了两个无监督的不同聚类,它们根据常规组织病理学检查被分配为正常和腺癌。光谱图像使得伪色拉曼光谱与组织病理学特征之间具有良好的相关性。

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