The Human Body Atlas: High-Resolution, Functional Mapping of Voxel, Vector and Meta Datasets

项目摘要/摘要 蜂窝MC-IU工作的最终目标是开发一个通用的坐标框架(CCF) 为了健康的人体，支持不同的编目、探索和下载 组织类型和单个细胞数据。CCF将使用不同的视觉界面，以便 利用人和机器的智能来改进数据探索和交流。这个 拟议的工作结合了数十年在数据和网络可视化、科学 可视化、生物学和生物医学数据标准。我们的目标是开发一种高度精确的 以及具有关联数据的可扩展的人体多维空间底图 覆盖层。此底图将作为组织地图地图集设计用于在线探索 由不同类型的细胞组成，与蜂箱MC-NYGC密切合作开发 一队。为了实现这一功能，我们将开发映射和连接元数据的方法， 像素/体素数据和提取的矢量数据，允许用户跨多个级别进行导航 (全身、器官、组织、细胞)。MC-IU将与母舰密切合作 基础设施和接洽组件(IEC)和工具组件(TC) 进一步整合计算、分析、可视化和生物识别资源，由 空间背景。

Project Summary/Abstract The ultimate goal of the HIVE MC-IU effort is to develop a common coordinate framework (CCF) for the healthy human body that supports the cataloguing, exploration, and download of different types of tissue and individual cell data. The CCF will use different visual interfaces in order to exploit human and machine intelligence to improve data exploration and communication. The proposed effort combines decades of expertise in data and network visualization, scientific visualization, biology, and biomedical data standards. The goal is to develop a highly accurate and extensible multidimensional spatial basemap of the human body with associated data overlays. This basemap will be designed for online exploration as an atlas of tissue maps composed of diverse cell types, developed in close collaboration with the HIVE MC-NYGC team. To implement this functionality, we will develop methods to map and connect metadata, pixel/voxel data, and extracted vector data, allowing users to “navigate” across multiple levels (whole body, organ, tissue, cells). MC-IU will work in close collaboration with the HIVE Infrastructure and Engagement Component (IEC) and tools components (TCs) to connect and integrate further computational, analytical, visualization, and biometric resources driven by spatial context.