Jonas Nienhaus
Papers
2
Total Citations
3
H-Index
1
About
Jonas Nienhaus is a rising researcher in ophthalmic imaging and surgical data science, with a focus on advancing cataract surgery through cutting-edge optical coherence tomography (OCT) technology. His work centers on developing and validating high-speed swept-source OCT (SS-OCT) systems integrated directly into surgical microscopes, enabling real-time, 4D visualization of surgical procedures. In his most-cited study, Nienhaus demonstrated the ability to capture dynamic, volumetric images of each cataract surgery phase in ex vivo porcine eyes, providing unprecedented insight into tissue-instrument interactions. His contributions include the creation of PASO, a multipurpose porcine anterior segment dataset that combines spectral and reconstructed OCT volume scans with surgical instrument segmentation masks—a resource designed to accelerate machine learning research in surgical automation and instrument tracking. Though early in his career, with papers accumulating citations since 2024, Nienhaus’s work has already been recognized for its translational potential, bridging the gap between advanced imaging technology and practical surgical training. His research promises to improve surgical precision, safety, and education in ophthalmology.
Research Focus
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Top Papers
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