Control-fluidic CoDesign for paper-based digital microfluidic biochips

Qin Wang, Zeyan Li, Haena Cheong, Oh Sun Kwon, Hailong Yao, Tsung Yi Ho, Kwanwoo Shin, Bing Li, Ulf Schlichtmann, Yici Cai

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

20 Scopus citations

Abstract

Paper-based digital microfluidic biochips (P-DMFBs) have recently emerged as a promising low-cost and fast-responsive platform for biochemical assays. In P-DMFBs, electrodes and control lines are printed on a piece of photo paper using inkjet printer and conductive ink of carbon nanotubes (CNTs). Compared with traditional digital microfluidic biochips (DMFBs), P-DMFBs enjoy notable advantages, such as faster in-place fabrication with printer and ink, lower costs, better disposability, etc. Because electrodes and CNT control lines are printed on the same side of a paper, a new design challenge for P-DMFB is to prevent the interference between moving droplets and the voltages on CNT control lines. These interactions may result in unexpected droplet movements and thus incorrect assay outputs. To address the new challenges in automated design of P-DMFBs, this paper proposes the first control-fluidic codesign flow, which simultaneously adjusts the control line routing and fluidic droplet scheduling to achieve an optimized solution. As the control line routing may not be able to address all the interferences between moving droplets and the voltages on control lines, droplet rescheduling is performed to effectively deal with the remaining interferences in the routing solution. Computational simulation results on real-life bioassays show that the proposed codesign method successfully eliminates all the interferences, while a state-of-the-art maze routing method cannot solve any of the benchmarks without conflicts.

Original languageEnglish
Title of host publication2016 IEEE/ACM International Conference on Computer-Aided Design, ICCAD 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781450344661
DOIs
StatePublished - 7 Nov 2016
Event35th IEEE/ACM International Conference on Computer-Aided Design, ICCAD 2016 - Austin, United States
Duration: 7 Nov 201610 Nov 2016

Publication series

NameIEEE/ACM International Conference on Computer-Aided Design, Digest of Technical Papers, ICCAD
Volume07-10-November-2016
ISSN (Print)1092-3152

Conference

Conference35th IEEE/ACM International Conference on Computer-Aided Design, ICCAD 2016
Country/TerritoryUnited States
CityAustin
Period7/11/1610/11/16

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