Edison Sun
Papers
2
Total Citations
8
H-Index
2
About
Edison Sun is pioneering the fusion of robotics and optical coherence tomography (OCT) to overcome fundamental imaging constraints. His research centers on expanding the three-dimensional field-of-view for OCT, enabling visualization of complex, non-planar anatomies that traditional systems cannot capture. Sun’s key contributions include the development of freeform robotic OCT, which combines robotic manipulation with point-cloud-based volumetric montaging to stitch together multiple acquisitions into a seamless, expanded 3D volume. This breakthrough allows clinicians and researchers to image curved or irregular structures—such as the eye, skin, or vasculature—without the rigid limitations of conventional linear translation. His 2024 paper on freeform robotic OCT has already garnered 5 citations, while his 2025 follow-up on point-cloud-based montaging has earned 3 citations, reflecting growing interest in this transformative approach. Sun’s work not only pushes the boundaries of biomedical imaging but also lays the groundwork for automated, high-resolution diagnostics in ophthalmology, dermatology, and beyond. For students and researchers, Sun exemplifies how interdisciplinary innovation—merging robotics, optics, and computational imaging—can solve real-world clinical challenges.
Research Focus
Key Achievements
Top Papers
- 1
- 2