# Small Animal Ocular Imaging Core

> **NIH NIH P30** · UNIVERSITY OF CALIFORNIA AT DAVIS · 2022 · $140,736

## Abstract

SUMMARY – SMALL ANIMAL OCULAR IMAGING CORE
The Small Animal Ocular Imaging Core (SAOIC) provides a wide and growing array of in vivo ocular imaging
services to investigators who employ rodent models of ocular function and disease. The technological services
include widefield Micron IVTM fundus camera video imaging (fluorescence and reflectance, with laser damage
capability); cellular-level resolution Optical Coherence Tomography (OCT) and Scanning Laser Ophthalmoscopy
(SLO); Adaptive Optics (AO) versions of both (AO-OCT, AO-SLO); combined OCT/SLO; and polarization-
selective OCT. An especially noteworthy feature of the instrumentation is its ability to repeatedly image the same
retinal locus — and even the same cells — in individual mice over months. The SAOIC Director and Managing
Director provide experimental design consultation and tutorial sessions describing the capabilities of the
instrumentation to potential investigators. Because the equipment is customized and relatively difficult to operate,
and the datasets collected very large, the SAOIC staff also provide image analysis services when needed.
Finally, the staff also trains the laboratory personnel of Core participating investigators to use key imaging tools
(including the Micron IVTM camera, and the widefield OCT/SLO) when long-term studies are undertaken.

## Key facts

- **NIH application ID:** 10439847
- **Project number:** 5P30EY012576-24
- **Recipient organization:** UNIVERSITY OF CALIFORNIA AT DAVIS
- **Principal Investigator:** Edward N Pugh
- **Activity code:** P30 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2022
- **Award amount:** $140,736
- **Award type:** 5
- **Project period:** 1999-07-01 → 2024-06-30

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10439847

## Citation

> US National Institutes of Health, RePORTER application 10439847, Small Animal Ocular Imaging Core (5P30EY012576-24). Retrieved via AI Analytics 2026-05-25 from https://api.ai-analytics.org/grant/nih/10439847. Licensed CC0.

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