CRCNS: Data Sharing: Open Web Atlas for High-Resolution 3D Mouse Brain Data

该项目将支持基于网络的高分辨率、高质量的完整小鼠大脑数据的共享，这些数据来自一种名为刀口扫描显微镜(KESM)的创新3D显微镜技术。此外，来自KESM的数据将与其他现有的互补数据集相链接，例如包含大量基因表达数据的Allen Brain Atlas，通过将结构数据(微结构)与功能数据(基因表达)相关联，有效地提高神经科学家研究大脑的资源的利用率。该项目的中心目标是设计一个基于网络的数据传播框架，以便于访问的形式将大量的小鼠大脑数据(每个大脑高达2TB)链接并提供给神经科学研究社区。为此，研究团队将设计和开发一个轻量级的、基于Web的3D可视化和注释框架，以便可以在多个分辨率下查看、注释和分析KESM数据(想象Google Maps全3D)。预计该项目将产生一种独特的资源，在大规模基因表达数据的背景下，提供前所未有的对整个小鼠大脑连接的观察。这样的资源可以帮助科学家开始解开大脑复杂的功能，并从长远来看，能够基于这样的理解构建智能文物。该项目将包括研究生和本科生研究人员，并将创建资源的简化版本，以激发K12学生和普通公众对脑科学的兴趣和兴趣。在这个项目中开发的框架有望在地质学、气象学甚至天文学中有更广泛的应用，因为天文学经常收集大量的3D数据，但由于数据的海量和3D性质，访问受到限制。该项目产生的所有数据和软件将在公共领域发布，可在http://kesm.org.上获得完整版本

This Project will support the web-based data sharing of high-resolution, high-quality, whole mouse brain data obtained from an innovative 3D microscopy technology called Knife-Edge Scanning Microscopy (KESM). Furthermore, the data from KESM will be linked to other existing, complementary data sets such as the Allen Brain Atlas containing extensive gene expression data, effectively multiplying the utility of the resource for neuroscientists studying the brain by relating structural data (microstructure) to functional data (gene expression).The central goal of this project is to devise a web-based data dissemination framework to link and to deliver massive amounts of mouse brain data (up to 2 terabytes per brain) to the neuroscience research community in an easily accessible form. To this end, the research team will design and develop a light-weight, web-based 3D visualization and annotation framework so that the KESM data can be viewed, annotated, and analyzed at multiple resolutions (imagine Google Maps in full 3D). The project is expected to result in a unique resource that provides an unprecedented look into the wiring of the entire mouse brain in the context of large-scale gene expression data. Such a resource can help scientists begin to unravel the intricate functions of the brain, and in the long term enable the construction of intelligent artifacts based on such an understanding. The project will involve graduate and undergraduate researchers, and a simplified version of the resource will be created to kindle interest and fascination for brain science in K12 students and in the general public. The framework developed in this project is expected to have broader application in geology, meteorology, and even in astronomy where huge amounts of 3D data are gathered routinely yet the access limited due to the massiveness and 3D nature of the data. All data and software resulting from this project will be released in the public domain, available in full at http://kesm.org.