# Morphology and Image Processing Core

> **NIH NIH P30** · DUKE UNIVERSITY · 2020 · $204,837

## Abstract

Morphology and Image Processing Module 
Abstract 
The objective of the Morphology and Image Processing Module is to enhance the capabilities of individual 
investigators to conduct cutting edge research in the vision sciences. Our Aims are: 1) to provide resources, 
support and training required for conducting morphological studies and image analysis 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 microscopes and other 
imaging instruments; microtomes and histology tools; and custom-built software and data processing 
resources for image analysis. The Module will be supervised and operated by highly experienced personnel, 
with expertise in conducting a broad array of tissue preparation, image acquisition and automated data 
processing methodologies. 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:** 10006546
- **Project number:** 5P30EY005722-35
- **Recipient organization:** DUKE UNIVERSITY
- **Principal Investigator:** Jeremy N Kay
- **Activity code:** P30 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $204,837
- **Award type:** 5
- **Project period:** 1997-07-01 → 2021-08-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10006546

## Citation

> US National Institutes of Health, RePORTER application 10006546, Morphology and Image Processing Core (5P30EY005722-35). Retrieved via AI Analytics 2026-05-24 from https://api.ai-analytics.org/grant/nih/10006546. Licensed CC0.

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