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

项目概要/摘要 HIVE制图工作的最终目标是为全球化和全球化发展制定一个共同的协调框架（CCF）。 健康的人体，支持不同类型的个体细胞的编目，了解功能， 这些细胞类型之间的关系，并模拟它们的个体和集体功能。为了 为了利用人机智能，将实现不同的可视界面，这些界面将使用CCF， 支持数据探索和通信。 这项计划结合了数十年来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 人体的空间底图和可交互探索的关联数据叠加 作为组织图谱的地图集。为了实现这个功能，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，允许用户在人体上“导航” 沿着多个功能上下文（例如，系统生理学，血管或内分泌系统），并连接和 根据上下文驱动，进一步整合计算、分析、可视化和生物特征资源，或者 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--从单细胞到整个身体。 在第一年，拟议的绘图部分将进行用户需求分析，利用 现有的分类和本体;实施两个交互式数据可视化;并评估美国 在正式的用户研究中，CCF和相关可视化的能力和有效性。

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.