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Deep UV Microcopy of prostate cancer tissue

机译:前列腺癌组织的深紫色显微镜

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Correctly diagnosing and staging prostate cancer continues to be a significant clinical challenge. Currently, the standardof care consists of a pathologist’s visual assessment of hematoxylin-and-eosin-stained (H&E) histological sections, anddesignation of a Gleason score based on the top two most common patterns. However, this process is subjective and thusprone to error. Further, lack of standard protocols for staining, makes quantitative analysis of stained tissues difficult.Therefore, there is a significant need to develop new quantitative methods that can provide robust, objective, andaccurate information of the aggressiveness and stage of prostate cancer.In this work, we seek to address this challenge using multi-spectral deep-UV microscopy of unstained tissue sections.This method yields valuable insight into the aggressiveness and stage of the disease due to its subcellular spatialresolution and high sensitivity to many endogenous biomolecules, including nucleic acid and proteins.In our approach we use a simple and cost effective wide-field imaging configuration with sequential illumination atmultiple wavelengths ranging from 220 nm to 450 nm. Spectral signatures are analyzed in conjunction with themorphology using a geometrical representation of principal component analysis and principles of mathematicalmorphology. Our results reveal distinct morphological and molecular alterations in the tissue as cancer becomes moreaggressive. In this presentation we will detail the design of the multispectral, deep UV microscope; describe ourquantitative image analysis; and show preliminary results.
机译:正确诊断和分期前列腺癌继续成为一个重要的临床挑战。目前,标准护理由病理学家的视觉评估组成,对苏木精和嗜酶染色(H&E)组织学部分的视觉评估,和基于前两个最常见的图案的Gleason得分的指定。但是,这个过程是主观的,因此容易出错。此外,缺乏用于染色的标准方案,使得对染色组织的定量分析困难。因此,有很大的需要开发新的定量方法,可以提供强大,目标和准确的前列腺癌侵袭性和阶段的信息。在这项工作中,我们使用未染色的组织部分的多光谱深紫色显微镜来寻求解决这一挑战。由于其亚细胞空间,这种方法对疾病的侵袭性和阶段产生了有价值的洞察力对许多内源生物分子的分辨率和高敏感性,包括核酸和蛋白质。在我们的方法中,我们使用一种简单且具有成本效益的宽野成像配置,并在顺序照明多个波长范围为220nm至450nm。与频谱签名结合分析使用主要成分分析和数学原理的几何形式形态学形态学。我们的结果揭示了组织中的明显形态和分子改变,因为癌症变得更多挑衅的。在本演示文稿中,我们将详细说明多光谱,深紫外显微镜的设计;描述我们的定量图像分析;并显示初步结果。

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