# Fluorescence Imaging Device with Edge Computing Capability for Intraoperative Vascular and Lymphatic Assessment

> **NIH NIH R43** · UNIFY MEDICAL · 2022 · $599,863

## Abstract

Assessment of vasculatures and lymphatics is critical to surgery. Fluorescence angiography is an excellent
method for identifying anastomotic failure. Intraoperative detection of anastomotic failures and hypoperfusion
can reduce surgical re-exploration and follow-up surgery. For lymphatic surgery such as lymphovenous
bypass, fluorescence lymphography is important for diagnosis, staging, and surgical planning. Unfortunately,
commercially available fluorescence imaging systems are bulky, expensive, and not user-friendly. There is an
unmet clinical need for an affordable and intuitive multiscale fluorescence imaging system suitable for diverse
vascular and lymphatic assessment use cases. The long-term goal is to improve outcomes of microvascular,
lymphatic, transplant, and trauma surgery by enhancing intraoperative imaging and tissue assessment. The
overall objective in this application is to develop a wearable multiscale fluorescence imaging and 3D display
device with edge computing capability. The project will be guided by the following specific aims: Aim 1.
Develop a wearable multiscale fluorescence imaging and display device for vascular and lymphatic
assessment. A compact prototype will be developed that offers real-time stereoscopic fluorescence imaging
and 3D augmented reality display for vascular and lymphatic assessment. Multiscale fluorescence imaging
with 2X-10X dynamic magnification will be implemented to accommodate diverse surgical applications,
including lymphatic mapping, perfusion angiography, and anastomosis patency testing. Heterogeneous
computing will be implemented to support machine learning tasks using deep convolutional neural networks.
Voice control and autofocus will be implemented on the edge. Medical information including duplex ultrasound
images will be overlaid in augmented reality. Aim 2. Characterize the device and demonstrate wearable
multiscale fluorescence imaging in vivo. Comprehensively characterization of the system performance will be
performed. Wearable multiscale fluorescence imaging will be demonstrated in a rat model. Lymphatic mapping
(wide-field fluorescence imaging) and an anastomotic patency check (magnified fluorescence imaging) will be
demonstrated in vivo. The proposed research is innovative, in applicant’s opinion, because it represents a
substantive departure from the status quo by offering real-time multiscale fluorescence imaging capability and
edge computing capability in a wearable 3D system. The proposed project is significant because it is expected
to provide strong evidence-based proof of principle for further development and future clinical trials of the
wearable multiscale fluorescence imaging device for vascular and lymphatic assessment. If the proposed
device is successfully commercialized, surgeons will have access to an innovative product that can improve
surgical outcomes of multiple surgical subspecialities.

## Key facts

- **NIH application ID:** 10547603
- **Project number:** 1R43HL162327-01A1
- **Recipient organization:** UNIFY MEDICAL
- **Principal Investigator:** Maziyar Askari Karchegani
- **Activity code:** R43 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2022
- **Award amount:** $599,863
- **Award type:** 1
- **Project period:** 2022-09-01 → 2024-02-29

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10547603

## Citation

> US National Institutes of Health, RePORTER application 10547603, Fluorescence Imaging Device with Edge Computing Capability for Intraoperative Vascular and Lymphatic Assessment (1R43HL162327-01A1). Retrieved via AI Analytics 2026-05-25 from https://api.ai-analytics.org/grant/nih/10547603. Licensed CC0.

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