# Ophthalmic Microscope with Intraoperative Optical Coherence Tomography

> **NIH NIH S10** · MEDICAL COLLEGE OF WISCONSIN · 2021 · $390,398

## Abstract

ABSTRACT
The Medical College of Wisconsin prioritizes research as one of its missions and includes in its strategic
plan “accelerating discovery with cutting-edge, evidence-based research.” With this support we request
funds for the shared instrumentation of a Leica Microsystems Proveo 8 ophthalmic surgical microscope
with intrasurgical EnFocus optical coherence tomography. The equipment would be used by eleven
faculty from four departments from two institutions. We describe four major thematic programs and four
additional minor projects that will be supported by eleven users, including five major and six minor users.
Uses for the equipment includes ophthalmic, vascular, and oncologic, along with teaching applications.
This instrument is requested to replace two outdated operating microscopes. The requested equipment
would provide video documentation to increase rigor and transparency of research. It would also improve
procedures to reduce and refine the use of animals in research projects. A compact footprint will decrease
space requirements. This state-of-the-art instrument will help advance NIH-funded research and help
future research applications in southeast Wisconsin.

## Key facts

- **NIH application ID:** 10173157
- **Project number:** 1S10OD030229-01
- **Recipient organization:** MEDICAL COLLEGE OF WISCONSIN
- **Principal Investigator:** Iris Scarlett Kassem
- **Activity code:** S10 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2021
- **Award amount:** $390,398
- **Award type:** 1
- **Project period:** 2021-05-01 → 2022-04-30

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10173157

## Citation

> US National Institutes of Health, RePORTER application 10173157, Ophthalmic Microscope with Intraoperative Optical Coherence Tomography (1S10OD030229-01). Retrieved via AI Analytics 2026-05-23 from https://api.ai-analytics.org/grant/nih/10173157. Licensed CC0.

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