# Infrared Eyes(iREyes)

> **NIH NIH R44** · EDEN MEDICAL, INC. · 2020 · $199,534

## Abstract

Infrared Eyes Abstract
Eden Medical, Inc. is pleased to submit this Phase 2 SBIR proposal to develop the “Infrared Eyes” (iREyes) imager system, an
affordable and powerful mobile health (mHealth) tool for healthcare. The hand-held iREyes system will acquire both thermal and
visible spectrum imagery to quantify healing via thermal indexing methodology. The iREyes will offer a user-friendly product with
automated categorization. Diabetic foot wounds are common, complex and costly. Foot areas that are likely to ulcerate are
associated with increased local skin temperature due to inflammation and enzymatic autolysis of tissue. Inflammation is
characterized by the cardinal signs including redness, swelling, and heat. The iREyes will also identify hot spots associated with
repetitive stress to reduce ulceration risk. iREyes will directly quantify inflammation pathophysiology through contralateral and
regional foot index image analysis. The automated categorization capability will improve diagnosis and enable medical
professionals to better track progress of wound healing as well as efficacy of treatment. This represents a significant improvement
over current practice. At the size of a 7-inch tablet, the iREyes combines visible and far infrared imaging into a mHealth solution
for wound clinics and treatment centers.

## Key facts

- **NIH application ID:** 10225121
- **Project number:** 3R44DK102244-04S1
- **Recipient organization:** EDEN MEDICAL, INC.
- **Principal Investigator:** David George Armstrong
- **Activity code:** R44 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $199,534
- **Award type:** 3
- **Project period:** 2014-09-30 → 2022-08-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10225121

## Citation

> US National Institutes of Health, RePORTER application 10225121, Infrared Eyes(iREyes) (3R44DK102244-04S1). Retrieved via AI Analytics 2026-05-23 from https://api.ai-analytics.org/grant/nih/10225121. Licensed CC0.

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