Feng Deng

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About

Feng Deng is a pioneering researcher at the intersection of biomedical optics, artificial intelligence, and surgical oncology. His primary research focuses on developing and applying advanced optical imaging techniques—particularly stimulated Raman histology (SRH)—to enable real-time, label-free tissue analysis during cancer surgery. Deng’s most notable contribution is the integration of SRH with AI algorithms to provide near-instantaneous interpretation of surgical margins in radical prostatectomy for prostate cancer. This work, published in 2025 and already garnering 9 citations, demonstrates how deep learning can classify fresh, unprocessed tissue images within minutes, potentially transforming how surgeons balance complete tumor resection with preservation of healthy tissue and functional outcomes. By bridging the gap between advanced photonics and clinical decision-making, Deng is helping to usher in an era of intraoperative pathology that eliminates the delays and artifacts of conventional frozen section analysis. His research holds particular promise for reducing positive surgical margins and improving quality of life for prostate cancer patients, marking him as a rising leader in the field of image-guided surgery.