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

> **NIH NIH OT2** · TRUSTEES OF INDIANA UNIVERSITY · 2021 · $1,500,000

## 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
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.

## Key facts

- **NIH application ID:** 10397321
- **Project number:** 3OT2OD026671-01S4
- **Recipient organization:** TRUSTEES OF INDIANA UNIVERSITY
- **Principal Investigator:** KATY BORNER
- **Activity code:** OT2 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2021
- **Award amount:** $1,500,000
- **Award type:** 3
- **Project period:** 2021-06-21 → 2022-06-20

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10397321

## Citation

> US National Institutes of Health, RePORTER application 10397321, The Human Body Atlas: High-Resolution, Functional Mapping of Voxel, Vector, and Meta Datasets (3OT2OD026671-01S4). Retrieved via AI Analytics 2026-05-28 from https://api.ai-analytics.org/grant/nih/10397321. Licensed CC0.

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