معرفی
Jenny Hult is a Researcher in the Department of Ophthalmology at Lund University's Faculty of Medicine, actively contributing to the Ophthalmology Imaging Research Group. Her work aligns with UN Sustainable Development Goals for health and well-being through advanced diagnostic imaging research.
Education:
- Doctoral Thesis (2024): Skin tumor delineation using photoacoustic imaging and hyperspectral imaging, Lund University, Faculty of Medicine
Her research pioneers non-invasive imaging techniques including photoacoustic, hyperspectral, and laser speckle contrast imaging for ophthalmic and dermatological applications. She specializes in blood perfusion monitoring during reconstructive surgery, skin tumor diagnostics, and periorbital cancer margin identification, integrating machine learning for clinical decision support. Her work bridges engineering innovation with practical ophthalmic solutions.
Recent publications (2022-2024) reveal a cohesive research trajectory focused on quantitative imaging for surgical guidance and cancer diagnostics. Key trends include spectral signature analysis of skin cancers, perfusion dynamics in ocular flaps, and AI-driven tumor delineation – demonstrating strong interdisciplinary collaboration across ophthalmology, biomedical engineering, and dermatology.
Scientific Awards:
- No awards documented in available sources
Dr. Hult co-leads two major funded projects since 2016: Flap monitoring during oculoplastic reconstructive surgery and Identifying periorbital tumor margins, supported by Kronprinsessan Margaretas Arbetsnämnd för synskadade and Stiftelsen för synskadade i f d Malmöhus län. These initiatives involve multi-institutional teams developing clinical imaging protocols.
She operates within Lund University's Ophthalmology Imaging Research Group, advancing translational applications of novel imaging technologies for real-world surgical and diagnostic challenges in oculoplastic practice.
