Co-placement optimization in sensor-reusable cyber-physical digital microfluidic biochips

Jian De Li*, Chun Hao Kuo, Guan Ruei Lu, Sying Jyan Wang, Katherine Shu-Min Li, Tsung Yi Ho, Hung-Ming Chen, Shiyan Hu

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

7 Scopus citations

Abstract

Digital microfluidic biochips (DMFBs) facilitate modern healthcare applications. One of the most important applications is point-of-care (POC) clinical diagnosis which is directly related to human health. However, biochemical experiments are usually error-prone, which makes monitoring intermediate results during bioassay execution be required to ensure the correctness of POC clinical diagnosis. To tackle this problem, cyber-physical digital microfluidic biochips with integrated sensors have been proposed and have attracted attention recently. In order to fully utilize the sensors for detection, the reusability of sensors should be taken into consideration during the module placement stage of cyber-physical DMFBs synthesis flow. Moreover, excessive actuation of electrodes may cause reliability degradation and this issuse should also be taken care of during module placement stage. In order to deal with the aforementioned problems, this paper presents the first co-optimization method for both module and sensor placement. Experimental results show that the proposed method can effectively minimize bioassay completion time while meeting all constraints from sensors and electrodes.

Original languageEnglish
Pages (from-to)185-196
Number of pages12
JournalMicroelectronics Journal
Volume83
DOIs
StatePublished - Jan 2019

Keywords

  • Cyber-physical sys-tem
  • Digital microfluidic biochips
  • Placement
  • Reliability
  • Sensor

Fingerprint

Dive into the research topics of 'Co-placement optimization in sensor-reusable cyber-physical digital microfluidic biochips'. Together they form a unique fingerprint.

Cite this