Transport or Store? Synthesizing Flow-based Microfluidic Biochips using Distributed Channel Storage

Chunfeng Liu, Bing Li, Hailong Yao, Paul Pop, Tsung Yi Ho, Ulf Schlichtmann

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

28 Scopus citations

Abstract

Flow-based microfluidic biochips have attracted much attention in the EDA community due to their miniaturized size and execution efficiency. Previous research, however, still follows the traditional computing model with a dedicated storage unit, which actually becomes a bottleneck of the performance of biochips. In this paper, we propose the first architectural synthesis framework considering distributed storage constructed temporarily from transportation channels to cache fluid samples. Since distributed storage can be accessed more efficiently than a dedicated storage unit and channels can switch between the roles of transportation and storage easily, biochips with this distributed computing architecture can achieve a higher execution efficiency even with fewer resources. Experimental results confirm that the execution efficiency of a bioassay can be improved by up to 28% while the number of valves in the biochip can be reduced effectively.

Original languageEnglish
Title of host publicationProceedings of the 54th Annual Design Automation Conference 2017, DAC 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781450349277
DOIs
StatePublished - 18 Jun 2017
Event54th Annual Design Automation Conference, DAC 2017 - Austin, United States
Duration: 18 Jun 201722 Jun 2017

Publication series

NameProceedings - Design Automation Conference
VolumePart 128280
ISSN (Print)0738-100X

Conference

Conference54th Annual Design Automation Conference, DAC 2017
Country/TerritoryUnited States
CityAustin
Period18/06/1722/06/17

Fingerprint

Dive into the research topics of 'Transport or Store? Synthesizing Flow-based Microfluidic Biochips using Distributed Channel Storage'. Together they form a unique fingerprint.

Cite this