# RESOURCE/SERVICE CORE B - FUNCTIONAL VISION MODULE

> **NIH NIH P30** · CLEVELAND CLINIC LERNER COM-CWRU · 2020 · $113,803

## Abstract

Abstract
Functional Vision Module
The Functional Vision Module will provide the technologies required to interrogate visual
function in experimental animals to the investigators involved in this P30 Core Grant for
Vision Research. This module will provide state of the art assessment of visual function
in mice and zebrafish. Included are visual electrophysiological assays such as the
electroretinogram (ERG) and the visual evoked potential (VEP); and visual behavior
assays such as the pupillary light reflex (PLR), the optokinetic reflex (OKR), optomotor
reflex (OMR) and threshold measurement. Collectively, these assays interrogate visual
function from light detection in the photoreceptors to signal integration and interpretation
within the brain. 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:** 10003325
- **Project number:** 5P30EY025585-05
- **Recipient organization:** CLEVELAND CLINIC LERNER COM-CWRU
- **Principal Investigator:** Brian D Perkins
- **Activity code:** P30 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $113,803
- **Award type:** 5
- **Project period:** 2016-09-01 → 2021-08-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10003325

## Citation

> US National Institutes of Health, RePORTER application 10003325, RESOURCE/SERVICE CORE B - FUNCTIONAL VISION MODULE (5P30EY025585-05). Retrieved via AI Analytics 2026-05-27 from https://api.ai-analytics.org/grant/nih/10003325. Licensed CC0.

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