3D TISSUE CHANGE DETECTION/QUANTIFICATION METHOD

长期目标是实现快速、灵敏和低成本 检测和可靠量化组织中的结构变化 由药物、毒素、激素、疾病等物质引起， 物理/化学刺激。这些研究构成了制药业的核心。 研究、毒理学、人类和动物使用产品的安全性测试 以及大量的生物学基础研究 和医药在这些研究中，有必要进行比较 对两批组织进行细胞计数-其中一批是正常的， 另一个是由感兴趣的代理人转化的。当这些变化 微妙的（例如，癌症），重要的是要处理大量的 组织.目前，所有这些都是手动完成的，所以方法很慢， 冗长、昂贵，缺乏定量准确性， 灵敏度通常，重要的研究被放弃或不尝试 这些原因。 拟议的研究将产生一种大规模、全面的方法 自动组织水平变化检测和量化。它是基于 厚（20-500微米）、宽（1- 10 mm）组织样本的三维显微镜 在一系列重叠的窗口中， 分析.这产生了一个三维细胞测量数据库， 通过统计方法进行分析，以检测和量化变化。 拟定商业应用： 预计最终的软件产品将立即和长期- 长期利益的制药公司，公司必须评估 普通的日常产品（例如，肥皂，洗发水，化妆品，泻药， 药膏）的健康风险和有效性，国家卫生部门 (esp.毒理学），大多数主要的研究医院，（特别是 病理学）和世界各地主要大学的生物系。

The long-term objective is to enable rapid, sensitive, and low-cost detection, and reliable quantification of structural changes in tissue caused by agents such as drugs, toxins, hormones, diseases, and physical/chemical stimuli. Such studies form the core of pharmaceutical research, toxicology, human- and animal-used product testing for safety and effectiveness, as well as a large body of basic research in biology and medicine. In these studies, it is necessary to perform comparative cytometry on two batches of tissue - one of which is normal, and the other is transformed by the agent of interest. When the changes are subtle (e.g., cancer), it is important to process large amounts of tissue. Currently, all this is done manually, so the methods are slow, tedious, expensive, and lacking in quantitative accuracy and sensitivity. Often, important studies are abandoned or not attempted for these reasons. The proposed research will result in a method for large-scale, fully automated tissue-level change detection and quantification. It is based on 3-D microscopy of thick (20-500 microm), wide (1-10mm) tissue samples in a series of overlapping windows, followed by automated 3-D image analysis. This produces a database of 3-D cytometric measurements that are analyzed by statistical methods to detect and quantify changes. PROPOSED COMMERCIAL APPLICATION: The resulting software product is expected to be of immediate and long- term interest to pharmaceutical companies, companies that must evaluate common everyday products (e.g., soaps, shampoos, cosmetics, laxatives, ointments) for health risks and effectiveness, state health departments (esp. toxicology), most major research hospitals, (esp. departments of pathology), and biology departments of major universities worldwide.