Next-generation Fiber-based Biomedical, Neural, and Robotic Interfaces
mpi-is 24 January 2023 - 24 January 2023 2R04 Werner Köster lecture hall
Seongjun Park (Department of Bio and Brain Engineering, KAIST)
To investigate and control the biological/neural system, it is essential to develop the techniques and devices capable of recording and modulating cellular signals as well as freely moving inside the body. However, current interfaces are limited in many factors such as mechanical invasiveness, non-adaptability (flexibility/stretchability), less-functionality, and limited form factors. Naturally, there is a huge need for new systems allowing for precise manipulation and monitoring of cellular and neural activities with high adaptability and minimal invasiveness. Application of fiber-based interfaces fabricated by novel manufacturing skill, thermal drawing process (TDP) can be a solution to address these issues. This preform-to-fiber thermal drawing enables the broad range of functions achievable in multimaterial fibers that include sensors of optical, thermal, chemical, acoustic, and mechanical signals to 3D-from micro actuator and robot. Notably, the multifunctional fibers can be produced from polymers with moduli lower than that of metals and glasses, and with tunable cross-sectional geometry and dimensions on the micrometer scale, which suggests their use as minimally invasive interfaces to biological systems. In this talk, I will introduce various examples of fiber-based interfaces for biomedical and neural applications: (1) Flexible and stretchable fiber-based neural probes; (2) Fiber-type scaffold to help the tissue regeneration; (3) Fiber-based artificial muscle; (4) Multifunctional fiber-based robotic system. These technologies enabling a natural interfacing between biological/neural circuits and external Machines/computers contributes not only human health and welfare but also develop the future with hyper-connectivity.
Speaker Biography:
| Seongjun Park (PI of Biomedical and Neural Interface Laboratory (www.bnilab.com)) | |
| Department of Bio and Brain Engineering, KAIST | |
| More Information |
The Perceiving Systems Department is a leading Computer Vision group in Germany.
We are part of the Max Planck Institute for Intelligent Systems in Tübingen — the heart of Cyber Valley.
We use Machine Learning to train computers to recover human behavior in fine detail, including face and hand movement. We also recover the 3D structure of the world, its motion, and the objects in it to understand how humans interact with 3D scenes.
By capturing human motion, and modeling behavior, we contibute realistic avatars to Computer Graphics.
To have an impact beyond academia we develop applications in medicine and psychology, spin off companies, and license technology. We make most of our code and data available to the research community.