# RESOURCE/SERVICE CORE A - OCULAR IMAGING MODULE

> **NIH NIH P30** · CLEVELAND CLINIC LERNER COM-CWRU · 2020 · $338,462

## Abstract

Abstract
Ocular Imaging Module
The Ocular Imaging Module will provide a variety of imaging modalities to the
investigators involved in this P30 Core Grant for Vision Research. The module includes
live animal (in vivo) imaging with slit lamp and fundus photography, scanning laser
ophthalmoscopy (SLO) and optical coherence tomography (OCT). It also supports
tissue and cellular imaging (ex vivo) support, providing routine and specialized tissue
fixation techniques, paraffin and plastic tissue embedding, sectioning (paraffin and Cryo)
and staining for immunohistochemistry. Microscope imaging techniques include bright
field, dark field, differential interference contrast (DIC), fluorescence, and transmission
electron microscopy (TEM). It also provides help and advice with the morphometric
analysis of generated images. Access to this core module will support NEI R01 funded
investigators, help newly recruited investigators obtain data for NEI R01 grant
submissions, foster collaborative interactions between RO1 funded investigators and
newly recruited investigators, attract investigators from other departments to research on
the visual system and be a valuable departmental resource in attracting additional vision
scientists to our program as we expand our research faculty.

## Key facts

- **NIH application ID:** 10003324
- **Project number:** 5P30EY025585-05
- **Recipient organization:** CLEVELAND CLINIC LERNER COM-CWRU
- **Principal Investigator:** William Joseph Dupps
- **Activity code:** P30 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $338,462
- **Award type:** 5
- **Project period:** 2016-09-01 → 2021-08-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10003324

## Citation

> US National Institutes of Health, RePORTER application 10003324, RESOURCE/SERVICE CORE A - OCULAR IMAGING MODULE (5P30EY025585-05). Retrieved via AI Analytics 2026-05-23 from https://api.ai-analytics.org/grant/nih/10003324. Licensed CC0.

---

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