Structural Circuits Core

项目概要：结构电路核心 现代组织清除和成像方法提供了关于神经系统疾病的丰富信息的潜力。 系统解剖和功能。然而，为了最好地利用这些方法，了解组织的选择 需要了解各种成像方法的优点和缺点。 此外，数据处理、分析和存储都在试图充分利用数据时提供了显著的障碍。 利用这些现代技术的能力。 结构电路核心（SCC）的目标是帮助研究人员最好地利用超现代技术， 与药物成瘾有关的脑回路的解剖图。为此，SCC与 大学成像中心（UIC），明尼苏达大学信息学研究所（UMII），明尼苏达大学 超级计算研究所（SCI）和明尼苏达大学数据存储库（DRUM）。的SCC 提供了自动使用大脑清除技术的基础设施， 中枢神经系统成像。重要的是，SCC有助于定制实验，以最好地利用最 适当的方法和技术途径，并与成瘾连接体相结合 Core为这些成像数据集的分析、存储和分发提供标准化资源。的 SCC不仅允许调查人员快速彻底地询问自己的数据， 通过通用格式结构和定制设计的软件进行实验室间的定量比较。

PROJECT SUMMARY: Structural Circuits Core Modern tissue clearing and imaging methods provide the potential for a wealth of information regarding nervous system anatomy and function. However, to best utilize such methods, understanding the options for tissue clearing, and the advantages and disadvantages of various imaging methods need to be appreciated. Furthermore, data handling, analysis, and storage all provide significant obstacles when attempting to make full use of the capabilities of these modern techniques. The goal of the Structural Circuits Core (SCC) is to help researchers best utilize ultramodern technology for the anatomical mapping of brain circuitry involved in drug addiction. In order to do so, the SCC partners with the University Imaging Center (UIC), the University of Minnesota Informatics Institute (UMII), the Minnesota Supercomputing Institute (SCI) and the Data Repository for the University of Minnesota (DRUM). The SCC provides the infrastructure for automated use of brain clearing technology paired with meso- and micro-scale imaging of the central nervous system. Importantly, the SCC helps tailor experiments to best utilize the most appropriate methodological and technological approaches, and, integrating with the Addiction Connectome Core, provides standardized resources for the analysis, storage, and distribution of these imaging datasets. The SCC not only allows investigators to quickly and thoroughly interrogate their own data, but also allows quantitative comparisons across laboratories through a common format structure and custom designed software.