Win Tun Latt
Papers
6
Total Citations
145
H-Index
5
About
Win Tun Latt is a researcher whose work sits at the intersection of biomedical engineering, robotics, and signal processing, with a particular focus on solving precision challenges in surgical and assistive technologies. He is best known for his pioneering contributions to physiological tremor estimation and filtering, developing sophisticated algorithms — including the Double Adaptive Bandlimited Multiple Fourier Linear Combiner and Autoregressive-Kalman Filter approaches — that enable real-time tremor compensation in robotic surgical instruments. His most-cited work (65 citations) introduced a robust adaptive filtering framework that has meaningfully advanced the field of microsurgery robotics. Latt has also made significant strides in robotic cell manipulation, contributing fully automated systems for three-dimensional biological cell rotation with direct applications in IVF, ICSI, and preimplantation genetic diagnosis, with his visual servoing work on mouse oocyte rotation garnering 24 citations. His research extends further into assistive technologies, including upper-limb exoskeletons designed to support individuals with movement disabilities in daily activities. Across his portfolio, Latt demonstrates a consistent commitment to translating engineering innovation into clinically meaningful tools that enhance human capability and precision.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3Visual Servoed Robotic Mouse Oocyte Rotation24 citations · 2019
- 4A fully automated robotic system for three-dimensional cell rotation10 citations · 2016
- 5
- 6Adaptive filtering of physiological tremor for real-time compensation4 citations · 2009