Thore Saathoff
Papers
4
Total Citations
25
H-Index
4
About
Thore Saathoff’s research bridges robotics, optics, and biomedicine, with a focus on advancing surgical imaging and needle-based interventions. His work centers on integrating optical coherence tomography (OCT) with robotic systems to enable high-resolution, automated tissue characterization. A key contribution is the development of robotic surface scanning using OCT, which allows precise volumetric imaging for detecting abnormal tissue structures—a technique with significant potential for intraoperative guidance. Saathoff also pioneered the creation of 3D-printed gelatin phantoms that replicate soft tissue properties, offering a reproducible platform for experimental validation in biomedicine. In the realm of needle navigation, he applied deep learning to estimate needle tip forces from raw spectral OCT data, enhancing feedback for procedures like biopsy and brachytherapy. Additionally, his exploration of interactive gesture control for robotic microscopes addresses the critical need for intuitive surgeon-device interaction. With over 25 citations across his most-cited works, Saathoff’s contributions are shaping the future of automated, image-guided interventions, demonstrating a commitment to translating robotic precision into clinical practice.
Research Focus
Key Achievements
Top Papers
- 1Automated Robotic Surface Scanning With Optical Coherence Tomography8 citations · 2021
- 2Creating 3D gelatin phantoms for experimental evaluation in biomedicine8 citations · 2015
- 3Needle tip force estimation by deep learning from raw spectral OCT data5 citations · 2020
- 4Feasibility of interactive gesture control of a robotic microscope4 citations · 2015