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

项目摘要/摘要 蜂窝映射工作的最终目标是为 健康的人体，支持对不同类型的单个细胞进行分类，了解其功能- 这些细胞类型之间的相互作用和关系，并对它们的个人和集体功能进行建模。按顺序 为了开发人和机器的智能，将实现使用CCF的不同视觉界面 支持数据探索和通信。 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、 数学生物学和生物医学数据标准，以开发高度准确和可扩展的多维- 可交互浏览的人体维度空间底图及其相关数据叠加 作为组织图的图集在线。为了实现此功能，我们将开发映射和连接的方法 元数据、像素/体素数据和提取的矢量数据，允许用户在人体内进行导航 沿着多个功能环境(例如，系统生理、血管或内分泌系统)，并连接和 进一步整合由环境或环境驱动的计算、分析、可视化和生物识别资源 地图上的“位置”。CCF和交互式数据可视化将是多层次和多尺度的超 移植组织和出版数据的探索和交流--从单个细胞到全身。 在第一年，拟议的映射组件将运行用户需求分析，使用以下工具编制初始CCF 预先存在的分类和本体；实施两个交互式数据可视化；并评估美国- CCF及其相关可视化在正式用户研究中的灵活性和有效性。

Project Summary/Abstract The ultimate goal of the HIVE Mapping effort is to develop a common coordinate framework (CCF) for the healthy human body that supports the cataloguing of different types of individual cells, understanding the func- tion and relationships between those cell types, and modeling their individual and collective function. In order to exploit human and machine intelligence, different visual interfaces will be implemented that use the CCF in support of data exploration and communication. The proposed effort combines decades of expertise in data and network visualization, scientific visualization, mathematical biology, and biomedical data standards to develop a highly accurate and extensible multidimen- sional spatial basemap of the human body and associated data overlays that can be interactively explored online as an atlas of tissue maps. 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 the human body along multiple functional contexts (e.g., systems physiology, vascular, or endocrine systems), and connect and integrate further computational, analytical, visualization, and biometric resources as driven by the context or “position” on the map. The CCF and the interactive data visualizations will be multi-level and multi-scale sup- porting the exploration and communication of tissue and publication data--from single cell to whole body. In the first year, the proposed Mapping Component will run user needs analyses, compile an initial CCF using pre-existing classifications and ontologies; implement two interactive data visualizations; and evaluate the usa- bility and effectiveness of the CCF and associated visualizations in formal user studies.