# A Confocal Fluorescence Microscopy Brain Data Archive

> **NIH NIH R24** · CARNEGIE-MELLON UNIVERSITY · 2022 · $1,009,624

## Abstract

PROJECT SUMMARY
 Brain image data collected by the neuroscience community will continue to grow
dramatically in the next 5-10 years as the push to image physically larger volumes, such as
whole brains from humans and other primates, becomes a focus. The scientific community, with
the support of NIH data sharing policies, expect this valuable data to be shared and made
available to the community as rapidly as possible.
 The Brain Image Library (BIL) is a public resource serving the neuroscience community by
providing a persistent scalable repository for sharing microscopy data generated by brain
researchers. Importantly, raw data can be archived with BIL, and all post-processing and
analysis can be completed at BIL and rapidly made publicly available. BIL maximizes data
reusability by providing rapid access to a range of community-specific software suites and user-
specific software which can quickly access a variety of high-performance computational
resources including GPU, CPU, high-RAM and machine learning nodes. This one-stop access
encourages the reuse of data by making it easily accessible to a variety of scientists and
promotes transparency and scientific discovery as the outcomes of any meta-analysis can be
made public and tied directly to the original data content.

## Key facts

- **NIH application ID:** 10451277
- **Project number:** 2R24MH114793-06
- **Recipient organization:** CARNEGIE-MELLON UNIVERSITY
- **Principal Investigator:** Marcel P Bruchez
- **Activity code:** R24 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2022
- **Award amount:** $1,009,624
- **Award type:** 2
- **Project period:** 2017-09-19 → 2027-05-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10451277

## Citation

> US National Institutes of Health, RePORTER application 10451277, A Confocal Fluorescence Microscopy Brain Data Archive (2R24MH114793-06). Retrieved via AI Analytics 2026-05-24 from https://api.ai-analytics.org/grant/nih/10451277. Licensed CC0.

---

*[NIH grants dataset](/datasets/nih-grants) · CC0 1.0*