A MULTI-USER DIGITAL IMAGE ACQUISTITION ANALYSIS AND DIS

多用户数字图像采集分析与显示

• 批准号: 3519138
• 负责人: DEAN E HILLMAN
• 金额: $ 20.85万
• 依托单位: NEW YORK UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 1985
• 资助国家: 美国
• 起止时间: 1985-01-01 至 1985-12-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/3519138
• 关键词: cell biology; congenital oral /facial /cranial defect; image processing; neurophysiology

This proposal requests funds for upgrading a multi-user image analysis facility to be shared by various investigators of the Departments of Physiology, Cell Biology and Surgery in the New York University Medical Center. The central computational facility is operational and essential devices are being requested to upgrade the system to "image analysis status" with "full graphic capability" as a shared resource. The objective is to have available a critical mass of software and hardware embodied in a single system which can carry out the broad range of image recording, analysis, retrieval, display and creation allowing investigators to collect data, analyze and model experimental system all within a common data base. The pieces of essential equipment are related to digitizing (camera, digitizer, microscopic stage and controller), display (workstations and hard copy unit), rapid retrieval (video disk) and graphics generation (vector display module). These will be configured with an existing basic Gould-DeAnza image analysis and display system that is interfaced to a VAX 780 control processor. The completed system will be a state-of-the-art image processing system for use in a number of research programs in cell biology and neurobiology as well as reconstruction of images for dynamic analysis as models of working systems or for defining surfaces of complex images. More specifically, the system will be used to: 1) record and analyze ultrastructure of various tissue types, with an emphasis on membranes and subcellular organelles, 2) record and quantitatively analyze nervous system component parts and their relationships (neuronal arbors, cell groups and pathways), 3) record multiple electrical events for spatial and temporal analysis, 4) display analyze multiple, complex objects and 5) recreate images from data in models that can depict structural-functional relationships and dynamic processes.

该提案要求提供资金，用于升级多用户图像分析 各部门调查员共用的设施 纽约大学医学院生理学、细胞生物学和外科学 中心 中央计算设施是可操作的和必要的 正在要求设备将系统升级为“图像分析 状态”与“全图形能力”作为共享资源。 客观 是要有一个临界质量的软件和硬件， 单一系统可进行大范围的图像记录， 分析、检索、显示和创建，使调查人员能够收集 数据，分析和模型实验系统都在一个共同的数据库。 这些基本设备与数字化有关（照相机， 数字化仪、显微镜载物台和控制器）、显示器（工作站和 硬拷贝单元）、快速检索（视频磁盘）和图形生成 （矢量显示模块）。 这些将配置有现有的基本 与VAX接口的Gould-DeAnza图像分析和显示系统 780控制处理器。 完成的系统将是最先进的 用于细胞内许多研究项目的图像处理系统 以及动态图像重建 分析作为工作系统的模型或用于定义复杂表面 图像. 更具体地说，该系统将用于：1）记录和 分析各种组织类型的超微结构，重点是 膜和亚细胞器，2）记录和定量分析 神经系统组成部分及其关系（神经元乔木， 细胞群和通路），3）记录空间的多个电事件 和时间分析，4）显示分析多个复杂对象，以及5） 从模型中的数据重新创建图像， 关系和动态过程。