# Animal Models Core

> **NIH NIH P30** · DUKE UNIVERSITY · 2020 · $110,414

## Abstract

Animal Models Module 
Abstract 
The objective of the Animal Models Module is to enhance the capabilities of individual investigators to 
conduct cutting edge research in the vision sciences, which involves generation and characterization of animal 
models of disease. Our Aims are: 1) to provide resources, support and training required for conducting animal 
studies at the level exceeding the capabilities of any individual laboratory; 2) to promote collegiality across the 
community of vision scientists through sharing resources, techniques and expertise; and 3) to engage 
colleagues into conducting vision research, including support of the next generation of basic and clinician 
scientists. To achieve these Aims, this Module will support sophisticated facilities equipped with state-of-the- 
art instrumentation, including surgical equipment and instrumentation for morphological and functional 
analyses of animal eyes. The Module will be supervised and operated by highly experienced personnel, with 
expertise in conducting a broad array of animal studies and deep understanding of associated regulatory 
conditions. These shared resources will open new research possibilities for both experienced and novice users, 
and will serve as a platform for fostering interactions among a broad swath of our research community.

## Key facts

- **NIH application ID:** 10006548
- **Project number:** 5P30EY005722-35
- **Recipient organization:** DUKE UNIVERSITY
- **Principal Investigator:** Goldis Malek
- **Activity code:** P30 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $110,414
- **Award type:** 5
- **Project period:** 1997-07-01 → 2021-08-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10006548

## Citation

> US National Institutes of Health, RePORTER application 10006548, Animal Models Core (5P30EY005722-35). Retrieved via AI Analytics 2026-05-25 from https://api.ai-analytics.org/grant/nih/10006548. Licensed CC0.

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