Imaging

项目摘要 该愿景研究核心(VRC)的总体目标是提供： ·获得个人R01奖励范围以外的资源 ·获得单一实验室范围以外的技术专长 ·员工培训，以消除高效翻译研究和协作的障碍 VRC支持的研究领域涵盖视网膜变性的分析和治疗， 发育障碍、青光眼和其他障碍，以及一系列尖端的基本 科学倡议。我们已经实现了四个资源模块，它们延续了 这个研究小组是如何合作的，为拥有21个NEI R01奖项的15名研究人员服务。 成像模块提供一系列成像(透射电子显微镜、共焦、扫描光学)和计算 服务(成像、数据库、数学)基于核心实验室的优势和 UU计算学院的卓越表现，其后代创立了Adobe Systems，Silicon 图形、网景和皮克斯。这些小组之间的协作已经将软件工具转变为 透射电子显微镜和共聚焦成像。 具体地说，成像模块提供： ·新颖、强大的高速自动瞬变电子显微镜，适用于VRC调查人员，无论其经验如何，都可以- 使用Viking Web应用程序以易于导航的格式制作高质量的透射电子显微镜图像。 ·JMEC本身和JMEC Vivar的研究级共焦资源和管理- 国际原子能机构；计划扩大共焦资源。 ·用于高通量组织/免疫细胞化学分析的高速光学扫描显微镜 ·拥有丰富的成像、数据库和数学软件以及培训专业知识 ·用于VRC的大规模数据存储(高达0.5 PB)

Project Summary The OVERALL aims of this Vision Research Core (VRC) are to provide: · access to resources outside the scope of individual R01 awards · access to technical expertise outside the scope a single laboratory · staff training to remove barriers to efficient translational research and collaboration The research areas supported by the VRC span the analysis and treatments of retinal degenerations, developmental disorders, glaucoma and other disorders, as well as and a range of cutting-edge basic science initiatives. We have implemented four resource modules that continue the natural evolution of how this research group works together, serving 15 investigators holding 21 NEI R01 awards. The Imaging Module provides a range of imaging (TEM, confocal, scanning optical) and computing services (imaging, database, mathematics) based on strengths of core laboratories and the tradition of excellence of the UU School of Computing, whose descendants founded Adobe Systems, Silicon Graphics, Netscape and Pixar. Collaborations among these groups have transformed software tools for TEM and confocal imaging. Specifically, the Imaging Module provides: · novel, powerful high-speed automated TEM for VRC investigators, regardless of experience, that de- livers top quality TEM imagery in a readily navigable format using the Viking web-application. · research grade confocal resources and management both in the JMEC proper and the JMEC vivar- ium; expanded confocal resources are planned. · high-speed optical scanning microscopy for high-throughput tissue / immunocytochemical analysis · extensive imaging, database and mathematics software holdings and training expertise · large scale data storage for the VRC (up to 0.5 petabyte)