# SCH: Overcoming the Intraoperative Data Desert: Biophotonics, Advanced Sensing, and Control for Automated Surgery

> **NIH NIH R01** · DUKE UNIVERSITY · 2022 · $250,261

## Abstract

The overarching goal of this project is to conduct the foundational
research needed to demonstrate a closed-loop surgical control system that facilitates accurate, rapid, and
automated detection and laser resection of pathologic tissue with a focus on soft tissue sarcomas. Such a
system requires advancements in both detection and removal of STS, achieved through advances in
intraoperative imaging and control oflaser scalpels, respectively. This system will increase both the speed
and precision at which surgery is performed, thereby improving patient outcomes while reducing costs
and minimizing the devastating impacts of preventable morbidity. The imaging and image processing
technique developed in this work will overcome the intraoperative "data desert" of current practice for
both human surgeons and robotics systems.

## Key facts

- **NIH application ID:** 10459475
- **Project number:** 5R01EB030982-03
- **Recipient organization:** DUKE UNIVERSITY
- **Principal Investigator:** Patrick Codd
- **Activity code:** R01 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2022
- **Award amount:** $250,261
- **Award type:** 5
- **Project period:** 2020-09-30 → 2024-06-30

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10459475

## Citation

> US National Institutes of Health, RePORTER application 10459475, SCH: Overcoming the Intraoperative Data Desert: Biophotonics, Advanced Sensing, and Control for Automated Surgery (5R01EB030982-03). Retrieved via AI Analytics 2026-05-24 from https://api.ai-analytics.org/grant/nih/10459475. Licensed CC0.

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