Video Assisted Islet Cell Isolation System

视频辅助胰岛细胞分离系统

• 批准号: 6862258
• 负责人: William D Timmons
• 金额: $ 49.96万
• 依托单位: ENTERATECH, INC.
• 依托单位国家: 美国
• 财政年份: 2004
• 资助国家: 美国
• 起止时间: 2004-09-30 至 2009-02-28
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6862258
• 关键词: Internet; acinar cell; bioimaging /biomedical imaging; cell population study; chemical association; computer human interaction; computer simulation; data collection; data quality /integrity; digital imaging; dogs; female; method development; model design /development; pancreas enzyme; pancreas imaging /visualization; pancreatic islet transplantation; pancreatic islets; time resolved data; video recording system

DESCRIPTION (provided by applicant): Islet cell transplantation offers the hope of a cure for the more than 1 million Americans who are type I (insulin dependant) diabetics. However, current transplantation outcomes are highly dependent on the skill of the physicians, scientists, and technicians involved in the process of isolating and purifying islets from donor organs. To help reduce the large variabilities and manpower inherent in the current methods, Emerging Concepts, Inc., in collaboration with The University of Cincinnati and Sheet Dynamics, Ltd., is developing an islet cell isolation system to automate the major steps in the isolation process. The system holds promise for standardizing and reducing process variability, and will allow for the optimization of yield, viability, and purity of the islet cells. Currently, the system automates multiple key steps in the process, but still requires a trained technician to determine one of the critical process variables, namely, the end point of the cell dissociation stage. A high quality, automated video analysis system could significantly improve the inherent process variability by improving this key decision point. Therefore, the focus of this Phase I feasibility study is to develop the necessary digital image processing and analysis software needed for such a video system. This proposal has three specific aims: (1) develop a database of cell images and surrogate outcomes during the dissociation phase of islet cell isolation; (2) develop image analysis algorithms to distinguish between islets and exocrine tissue, extract key features and metrics from the segmented images, and formulate a predictive model that relates these metrics to optimal dissociation halting times derived from the surrogate outcomes; and (3) build a virtual microscope (a web portal) and collect responses from islet cell transplantation experts operating on the database of image sequences generated in the first aim. This Phase study will be considered a success if the performance of the predictive model can be shown to be equal to or better than (a=.05) the panel of experts operating on the same data.

描述（由申请人提供）： 胰岛细胞移植为超过 100 万美国人 I 型（胰岛素依赖型）糖尿病患者带来了治愈的希望。然而，目前的移植结果高度依赖于参与从供体器官中分离和纯化胰岛过程的医生、科学家和技术人员的技能。为了帮助减少当前方法中固有的巨大差异和人力，Emerging Concepts, Inc. 与辛辛那提大学和 Sheet Dynamics, Ltd. 合作，正在开发一种胰岛细胞分离系统，以自动化分离过程中的主要步骤。该系统有望实现标准化和减少过程变异性，并将允许优化胰岛细胞的产量、活力和纯度。目前，该系统可自动执行过程中的多个关键步骤，但仍需要训练有素的技术人员来确定关键过程变量之一，即细胞解离阶段的终点。高质量的自动化视频分析系统可以通过改进这一关键决策点来显着改善固有的过程可变性。因此，一期可行性研究的重点是开发此类视频系统所需的数字图像处理和分析软件。 该提案有三个具体目标：（1）开发胰岛细胞分离分离阶段细胞图像和替代结果的数据库； (2) 开发图像分析算法来区分胰岛和外分泌组织，从分割图像中提取关键特征和指标，并制定一个预测模型，将这些指标与从替代结果得出的最佳解离停止时间相关联； (3) 构建虚拟显微镜（门户网站）并收集胰岛细胞移植专家对第一个目标中生成的图像序列数据库进行操作的响应。如果预测模型的性能可以证明等于或优于 (a=.05) 专家小组对相同数据进行操作，则本阶段研究将被视为成功。