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

> **NIH NIH OT2** · TRUSTEES OF INDIANA UNIVERSITY · 2020 · $1,000,000

## Abstract

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.

## Key facts

- **NIH application ID:** 10148333
- **Project number:** 3OT2OD026671-01S3
- **Recipient organization:** TRUSTEES OF INDIANA UNIVERSITY
- **Principal Investigator:** KATY BORNER
- **Activity code:** OT2 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $1,000,000
- **Award type:** 3
- **Project period:** 2018-09-21 → 2022-09-20

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10148333

## Citation

> US National Institutes of Health, RePORTER application 10148333, The Human Body Atlas: High-Resolution, Functional Mapping of Voxel, Vector and Meta Datasets (3OT2OD026671-01S3). Retrieved via AI Analytics 2026-05-22 from https://api.ai-analytics.org/grant/nih/10148333. Licensed CC0.

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