Title
Advanced optoelectronics driver system for biomedical applications
Author
Deng, Shanliang (TU Delft Electrical Engineering, Mathematics and Computer Science)
Contributor
Zhang, Kouchi (mentor) 
Poelma, R.H. (graduation committee)
Jin, T. (graduation committee)
Degree granting institution
Delft University of Technology
Programme
Electrical Engineering | Microelectronics
Date
2021-05-26
Abstract
With the development of biomedical technology such as optogenetics, optoelectronics devices, especially light-emitting diode(LED), becomes wildly used in biomedical researches and applications. Unlike traditional illumination and display applications, biomedical applications have more unique requirements like intensity and response speed. The existing optoelectronics systems cannot fulfill all the requirements of biomedical applications. It is essential to design particular light sources and drivers to fill the blank area of biomedical-compatible optoelectronics systems. However, each biomedical application has its environment and setup. One specific optoelectronics system will not suitable for all circumstances. This work focuses on developing a methodology to design advanced optoelectronics driver systems for biomedical applications to solve this problem. It takes three steps to develop and verify the driver design methodology. The first step is producing a high-power biomedical array driving system to verify the array control strategy. UVC virus inactivation test platform, which successfully finishes virus inactivation test in Erasmus MC, is produced in this step. The second step is extending the array driver to the matrix driver. An interactive optoelectronics system is designed to perform optogenetics experiments in LUMC. Finally, aiming at the ultimate goal-implantable, self-powered driver feasibility research is performed to prove it is feasible to design a self-power optoelectronics driver system in the future.
Subject
smart driver
biomedical electronices
high power LED driver
matrix control
system intergration
To reference this document use:
http://resolver.tudelft.nl/uuid:b43df04b-7af5-46d9-a4d4-88e7d871129d
Embargo date
2023-05-31
Part of collection
Student theses
Document type
master thesis
Rights
© 2021 Shanliang Deng