Automated Design of Pin-Constrained Digital Micro uidic Biochips Under Droplet-Interference Constraints TAO XU Duke University WILLIAM L. HWANG St John s College, University of Oxford FEI SU Intel Corporation and KRISHNENDU CHAKRABARTY Duke University Micro uidics-based biochips, also referred to as lab-on-a-chip, are devices that integrate uidhandling functions such as sample preparation, analysis, separation, and detection. This emerging technology combines electronics with biology to open new application areas such as point-of-care diagnosis, on-chip DNA analysis, and automated drug discovery. We propose a design automation method for pin-constrained biochips that manipulate nanoliter volumes of discrete droplets on a micro uidic array. In contrast to the direct-addressing scheme that has been studied thus far in the literature, we assign a small number of independent control pins to a large number of electrodes in the biochip, thereby reducing design complexity and product cost. The design procedure relies on a droplet-trace-based array partitioning scheme and an ef cient pin assignment technique, referred to as the Connect-5 algorithm. The proposed method is evaluated using a set of multiplexed bioassays. This article is an extended and revised version of the paper presented at the 2006 IEEE/ACM Design Automation Conference (DAC) C ACM 2006.
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Automated design of pin-constrained digital microfluidic biochips under droplet-interference constraints
Xu, Tao; Hwang, William L.; Su, Fei; Chakrabarty, Krishnendu
Follow ACM Journal on Emerging Technologies in Computing Systems (JETC)
, Volume 3 (3)
Association for Computing Machinery – Nov 1, 2007
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