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University of Illinois Develops Imaging Tool to Reduce Cancer Re-Operations

University of Illinois engineers built a prototype imaging system that helps surgeons detect residual cancer cells during operations. The device pairs a handheld optical probe with a robotic arm and will be mounted on an OR-ready cart for clinical studies. Backed by ARPA-H funding, the long-running project is moving from lab demonstrations toward clinical evaluation.

University of Illinois Develops Imaging Tool to Reduce Cancer Re-Operations

Each year millions of people worldwide receive a cancer diagnosis. Researchers at the University of Illinois are developing an intraoperative imaging system designed to help surgeons spot residual cancer cells during surgery and reduce the need for follow-up operations.

What the device does

The prototype combines a handheld optical probe and a robotic arm to give surgeons microscope-like, high-resolution views of a resection cavity immediately after tumor removal. The probe can scan large tissue surfaces while the robotic arm targets specific areas for detailed imaging to reveal any remaining cancerous tissue.

Where the project stands

After assembling the necessary components last year, the team integrated them into a working laboratory system this year. Researchers plan to mount the system on a mobile, operating-room–ready cart so it can be used in clinical studies. The design aims to meet the practical demands of the surgical environment while providing rapid, reliable feedback to the surgeon.

Background and support

The effort has progressed over roughly 15–20 years. In the past year the project received funding from the Advanced Research Projects Agency for Health (ARPA-H), accelerating the push to move from lab prototype to clinical evaluation.

Potential impact

If clinical studies confirm its effectiveness, the technology could lower re-operation rates, shorten recovery times, and improve outcomes by helping surgeons ensure more complete tumor removal during the initial surgery.

Source: Stephen Boppart, engineering professor and lead researcher on the project.

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