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

CRCNS：数据共享：高分辨率 3D 小鼠大脑数据的开放网络图集

• 批准号: 1208174
• 负责人: Yoonsuck Choe
• 金额: $ 20.09万
• 依托单位: Texas A&M Engineering Experiment Station
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-09-01 至 2015-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1208174&HistoricalAwards=false
• 关键词: CRCNS; Data; Sharing; Open; Web

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.

该项目将支持基于网络的高分辨率、高质量的全鼠脑数据共享，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关联，例如包含大量基因表达数据的艾伦脑图谱，通过将结构数据（微观结构）与功能数据（基因表达）相关联，有效地增加了神经科学家研究大脑的资源效用。该项目的中心目标是设计一个基于网络的数据传播框架，以一种易于访问的形式链接并传递大量的小鼠大脑数据（每个大脑高达2tb）给神经科学研究界。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，以便可以在多种分辨率下查看、注释和分析KESM数据（想象一下谷歌地图的全3D）。该项目预计将产生一个独特的资源，在大规模基因表达数据的背景下，为整个小鼠大脑的线路提供前所未有的观察。这样的资源可以帮助科学家开始解开大脑复杂的功能，从长远来看，可以在这种理解的基础上构建智能人工制品。该项目将涉及研究生和本科生的研究人员，并将创建一个简化版本的资源，以激发K12学生和公众对脑科学的兴趣和迷恋。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，在这些领域中，大量的3D数据被常规收集，但由于数据的海量和3D性质，访问受到限制。本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上获得全部内容。