# Engineering Core

> **NIH NIH U19** · HARVARD UNIVERSITY · 2024 · $156,564

## Abstract

Engineering Core
The goal of the Engineering Core is to enable our Team members to surmount their most challenging
technological and engineering obstacles. There are many needs for engineering solutions in our proposal --
from behavioral apparatus to optical and electrophysiological rigs, to software for data acquisition and
analyses. Even the most technologically sophisticated of the research groups in our Team require special
assistance with engineering problems in order to achieve our ambitious aims. In the Center for Brain Science
at Harvard there is an existing Engineering Core that consists of
(a) an integrated laboratory to design, prototype, iterate, and produce custom devices for neuroscience
experiments
and
(b) Dr. Brett Graham, an engineer-neuroscientist who solves the most challenging engineering problems in the
user laboratories and trains young scientists to do this themselves.
By adding a dedicated staff engineer, the Engineering Core is able to support the team-based neuroscience
research proposed here. The specific aims are to implement engineering solutions to problems faced by the
Projects and other Cores. The Engineering Core will (a) design and build apparatuses to image rapidly
swimming larval zebrafish; (b) build rigs to record neural activity in larval zebrafish brains and hearts via
calcium imaging; and (c) further automate the connectomics imaging pipeline.

## Key facts

- **NIH application ID:** 10918145
- **Project number:** 5U19NS104653-08
- **Recipient organization:** HARVARD UNIVERSITY
- **Principal Investigator:** Jeff W Lichtman
- **Activity code:** U19 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2024
- **Award amount:** $156,564
- **Award type:** 5
- **Project period:** 2017-09-25 → 2027-08-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10918145

## Citation

> US National Institutes of Health, RePORTER application 10918145, Engineering Core (5U19NS104653-08). Retrieved via AI Analytics 2026-05-23 from https://api.ai-analytics.org/grant/nih/10918145. Licensed CC0.

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