CMOS MEMS Proton Image Sensors for Global Health
Project Description

Thanks to the advance of semiconductor sensor technology, CMOS image sensors (CIS) have been widely used in smartphones and mobile computing devices Similar to the design of CIS, we are developing the ion image sensor because ion sensing is widely used nowadays in various bio-applications including but not limited to ion imaging DNA methylation detection for early cancel diagnosis as well as early COVID-19 screening [1-3]. Implemented in standard CMOS process (TSMC, GlobalFoundry, AMS, etc.), ion-sensitive-field-effect-transistor (ISFET) enjoys low cost, high accurate and miniaturized system over conventional methods. Our research team has carried a long line of research in the developing of CMOS MEMS chips for bio-inspired applications. A FPGA based prototype has been developed for data collection, analysis and visualization. The participants will be guided to improve and optimize this prototype and encouraged to explore in the area of AI-based CMOS MEMS chip for personal healthcare. Participants with major contribution will be considered as co-author(s) of future publications.

[1] Rothberg, J. M., Hinz, W., Rearick, T. M., Schultz, J., Mileski, W., Davey, M., ... & Hoon, J. (2011). An integrated semiconductor device enabling non-optical genome sequencing. Nature, 475(7356), 348-352.
[2] Duan, M., Zhong, X., Xu, J., Lee, Y. K., & Bermak, A. (2020). A High Offset Distribution Tolerance High Resolution ISFET Array with Auto-Compensation for Long-Term Bacterial Metabolism Monitoring. IEEE Transactions on Biomedical Circuits and Systems, 3(14), 463-476.

LEE Yi-Kuen
Course type
Applicant's Roles

Successful candidates are expected to work on prototype improvements (not everything from scratch), using Verilog and Python; Skills required and tasks to be done:
• Verilog – FPGA to access peripheral hardware
• Python – data communication between FPGA and PC and to satisfy high data throughput demand
• Python – data visualization on PC and user-friendly interface development
• Viso/PPT/Word – clarification of data flow
• AutoCAD/Solidworks – flow chamber improvement

Applicant's Learning Objectives

• basics about CMOS MEMS sensor system and general research training
• skills in embedded system development - high data throughput
• data analysis and visualization using Python
• learn 3D printing flow

Complexity of the project