Core Grant for Vision Research-LABORATORY COMPUTER APPLICATIONS MODULE (LCAM)

视觉研究核心资助-实验室计算机应用模块（LCAM）

• 批准号: 10705719
• 负责人: Tobias Elze
• 金额: $ 20.36万
• 依托单位: SCHEPENS EYE RESEARCH INSTITUTE
• 依托单位国家: 美国
• 财政年份: 1997
• 资助国家: 美国
• 起止时间: 1997-08-01 至 2027-08-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10705719
• 关键词: Automobile Driving; Code; Computer Systems; Computer software; Computers; Core Grant; Data; Data Analyses; Equipment; Flow Cytometry; Image; Individual; Laboratories; Laboratory Research; Microcomputers; Morphology; Research; Research Personnel; Research Project Grants; Resource Sharing; Resources; Services; System; Time; Training; Update; Vision research; animal resource; clinical examination; computerized; data exchange; machine learning algorithm; software infrastructure

Laboratory Computer Applications Project Summary/Abstract The Laboratory Computer Applications Module (LCAM) provides support to individual and collaborative efforts by providing training in the advanced use of scientific software as well as research programming and consulting services for research projects. Furthermore, it supports all other core modules (Animal Resource, Flow Cytometry and Morphology) by managing the gathering, processing, and analyzing data on the various computerized systems at each module. The LCAM provides the expertise to facilitate real-time data transfers, convert image-based data to analytic forms, to update and purchase new and additional software, interconnect microcomputer systems between laboratories and equipment, to provide programming resources for such interfaces, and to facilitate analyses within laboratories. Finally, the LCAM supports the application and integration of machine learning algorithms for advanced imaging data analysis by providing a hardware and software infrastructure and the necessary training and consulting.

实验室计算机应用项目摘要/摘要 实验室计算机应用模块（LCAM）为个人和协作提供支持。 通过提供科学软件的高级使用培训以及研究编程， 为研究项目提供咨询服务。此外，它还支持所有其他核心模块（动物资源， 流式细胞术和形态学），通过管理 每个模块都有不同的计算机系统。LCAM提供专业知识， 数据传输，将基于图像的数据转换为分析形式，以更新和购买新的和附加的 软件，连接实验室和设备之间的微机系统， 为这些接口编制资源，并促进实验室内的分析。最后，LCAM 支持应用和集成机器学习算法进行高级成像数据分析， 提供硬件和软件基础设施以及必要的培训和咨询。