The Human Body Atlas: High-Resolution, Functional Mapping of Voxel, Vector, and Meta Datasets
人体图谱:体素、矢量和元数据集的高分辨率功能映射
基本信息
- 批准号:10397321
- 负责人:
- 金额:$ 150万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2021
- 资助国家:美国
- 起止时间:2021-06-21 至 2022-06-20
- 项目状态:已结题
- 来源:
- 关键词:AnatomyArtificial IntelligenceAtlasesBiologyBiometryCatalogingCellsCollaborationsCommunicationDataData SetEcosystemGoalsHumanHuman BioMolecular Atlas ProgramHuman bodyImageIndividualInfrastructureMapsMetadataMethodsModelingMolecularOrganResolutionResourcesTissuesVisualVisualizationWorkbasecell typedata explorationdata standardsdesignhuman imagingimprovedinteroperabilitytoolvector
项目摘要
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
differenttypes 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.
项目摘要/摘要
蜂巢MC-IU工作的最终目标是开发一个共同的协调框架
(CCF),支持编目、探索和下载
不同类型的组织和单个细胞数据。CCF将使用不同的可视界面
为了利用人和机器的智能来改进数据探索和
沟通。拟议的工作结合了数十年在数据和网络方面的专业知识
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
开发高精度、可扩展的人体多维空间底图
具有相关联的数据覆盖。此底图将作为地图集设计用于在线探索
由不同细胞类型组成的组织图谱,与蜂巢密切合作开发
MC-NYGC团队。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
多层次(全身、器官、组织、细胞)。MC-IU将与
配置单元基础架构和接洽组件(IEC)和工具组件(TC)
连接和集成进一步的计算、分析、可视化和生物识别资源
由空间背景驱动。
项目成果
期刊论文数量(7)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Visualizing learner engagement, performance, and trajectories to evaluate and optimize online course design
- DOI:10.1371/journal.pone.0215964
- 发表时间:2019-05-06
- 期刊:
- 影响因子:3.7
- 作者:Ginda, Michael;Richey, Michael C.;Borner, Katy
- 通讯作者:Borner, Katy
The impact of air transport availability on research collaboration: A case study of four universities
- DOI:10.1371/journal.pone.0238360
- 发表时间:2018-11
- 期刊:
- 影响因子:3.7
- 作者:Adam Ploszaj;Xiaoran Yan;K. Börner
- 通讯作者:Adam Ploszaj;Xiaoran Yan;K. Börner
Data visualization literacy: Definitions, conceptual frameworks, exercises, and assessments
- DOI:10.1073/pnas.1807180116
- 发表时间:2019-02-05
- 期刊:
- 影响因子:11.1
- 作者:Boerner, Katy;Bueckle, Andreas;Ginda, Michael
- 通讯作者:Ginda, Michael
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KATY BORNER其他文献
KATY BORNER的其他文献
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{{ truncateString('KATY BORNER', 18)}}的其他基金
3D Multiscale Biomolecular Human Reference Atlas Construction, Visualization and Usage [4 of 5]
3D 多尺度生物分子人类参考图谱构建、可视化和使用 [4 of 5]
- 批准号:
10886905 - 财政年份:2022
- 资助金额:
$ 150万 - 项目类别:
3D Multiscale Biomolecular Human Reference Atlas Construction, Visualization and Usage [4 of 5]
3D 多尺度生物分子人类参考图谱构建、可视化和使用 [4 of 5]
- 批准号:
10534308 - 财政年份:2022
- 资助金额:
$ 150万 - 项目类别:
myAURA: Personalized Web Service for Epilepsy Management
myAURA:用于癫痫管理的个性化 Web 服务
- 批准号:
10414826 - 财政年份:2021
- 资助金额:
$ 150万 - 项目类别:
Amplifying the Value of HuBMAP Data Through Data Interoperability and Collaboration
通过数据互操作性和协作放大 HuBMAP 数据的价值
- 批准号:
10444351 - 财政年份:2020
- 资助金额:
$ 150万 - 项目类别:
Amplifying the Value of HuBMAP Data Through Data Interoperability and Collaboration
通过数据互操作性和协作放大 HuBMAP 数据的价值
- 批准号:
10217839 - 财政年份:2020
- 资助金额:
$ 150万 - 项目类别:
Amplifying the Value of HuBMAP Data Through Data Interoperability and Collaboration
通过数据互操作性和协作放大 HuBMAP 数据的价值
- 批准号:
10468526 - 财政年份:2020
- 资助金额:
$ 150万 - 项目类别:
Amplifying the Value of HuBMAP Data Through Data Interoperability and Collaboration
通过数据互操作性和协作放大 HuBMAP 数据的价值
- 批准号:
10707603 - 财政年份:2020
- 资助金额:
$ 150万 - 项目类别:
Amplifying the Value of HuBMAP Data Through Data Interoperability and Collaboration
通过数据互操作性和协作放大 HuBMAP 数据的价值
- 批准号:
10907962 - 财政年份:2020
- 资助金额:
$ 150万 - 项目类别:
Amplifying the Value of HuBMAP Data Through Data Interoperability and Collaboration
通过数据互操作性和协作放大 HuBMAP 数据的价值
- 批准号:
10683509 - 财政年份:2020
- 资助金额:
$ 150万 - 项目类别:
The Human Body Atlas: High-Resolution, Functional Mapping of Voxel, Vector, and Meta Datasets
人体图谱:体素、矢量和元数据集的高分辨率功能映射
- 批准号:
9988039 - 财政年份:2019
- 资助金额:
$ 150万 - 项目类别:
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