OCTology: histology using optical coherence tomography

 描述(由申请人提供)： 摘要虽然组织学仍然是评估人类神经解剖学的金标准，但用于显微成像的切片和手工安装组织的程序与100年前没有本质上的不同。这些步骤将不可修复的扭曲引入组织切片，使得难以或不可能以足够的精度对齐切片以创建微米级的3D组织体积。在这个项目中，我们寻求开发使用光学相干断层扫描(OCT)来生成包含与标准组织学相当的信息的图像的采集和分析工具。最重要的是，OCT在切割前对组织进行成像，从而避免了随之而来的扭曲，并允许以微米分辨率对人体组织的大片区域进行成像。我们预计，这些大规模的、真实的表示将促进组织量化和疾病检测的自动化技术的发展，显著提高组织学和神经病理学的效率、特异性和敏感性。

 DESCRIPTION (provided by applicant): Abstract While histology remains the gold standard for assessing human neuroanatomy, the procedures for sectioning and hand mounting tissue for microscopic imaging are not substantially different than they were 100 years ago. These steps introduce irremediable distortions into the tissue sections making it difficult or impossible to align sections with suffiient accuracy to create 3D histological volumes at the micron scale. In this project, we seek to develop acquisition and analysis tools that use optical coherence tomography (OCT) to generate images that contain information comparable to standard histology. Critically, OCT images the tissue prior to cutting, thus avoiding the concomitant distortions, and allowing large regions of human tissue to be imaged with micron resolution. We anticipate that these large-scale, veridical representations will facilitate the development of automated techniques for tissue quantification and disease detection, dramatically increasing the efficiency, specificity an sensitivity of histology and neuropathology.