Multidisciplinary Investigations in Visual Science

视觉科学的多学科研究

• 批准号: 9762933
• 负责人: Val C. Sheffield
• 金额: $ 52.1万
• 依托单位: UNIVERSITY OF IOWA
• 依托单位国家: 美国
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-09-01 至 2021-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9762933
• 关键词: Bioinformatics; Communication; Communities; Complement; Computer Analysis; Computing Methodologies; Core Grant; Data; Equipment; Faculty; Funding; Genotype; Goals; Histologic; Histology; Image; Image Analysis; Investigation; Iowa; Methods; Mus; Outcome; Phenotype; Procedures; Productivity; Research; Research Activity; Research Personnel; Research Technics; Resources; Services; Stains; Standardization; Statistical Methods; Supervision; Techniques; Tissues; Training; Universities; Vision; Vision research; Work; experience; improved; member; multidisciplinary; programs; vision science

PROJECT SUMMARY The goal of this NEI Center Core application is to enhance the research activities of NEI-funded investigators at The University of Iowa. This will be achieved by providing a complement of Service Cores. Each Core will offer a set of services - performed by skilled technical staff and supervised by experienced NEI-funded faculty members, employing standardized, automated procedures when possible. The combination of centralization (allowing specialization and concomitant increases in efficiency) and the breadth of services available from the various Core Modules are expected to provide utility and increased productivity to all vision researchers at The University of Iowa. This supports three primary foci: 1) histological and ultrastructural studies, 2) detailed phenotyping in the mouse, and 3) computational analysis of large-scale image and genotype data. These capabilities all require specialized equipment and highly trained staff that would be inefficient to duplicate in every lab employing these techniques.

项目总结 此次NEI中心核心应用的目标是加强NEI资助的研究活动 爱荷华大学的研究人员。这将通过提供补充服务来实现 核心。每个核心将提供一套服务-由熟练的技术人员执行，并由 经验丰富的NEI资助的教职员工，在以下情况下使用标准化、自动化的程序 有可能。集中化的组合(允许专业化和随之而来的增长 效率)和各种核心模块提供的服务广度预计将 为爱荷华大学的所有视觉研究人员提供实用性和更高的生产率。 这支持三个主要焦点：1)组织学和超微结构研究，2)详细的表型 鼠标，以及3)大规模图像和基因数据的计算分析。这些功能 所有这些都需要专门的设备和训练有素的工作人员，而在每一个 使用这些技术的实验室。