Show simple item record Luo, Y Chakrabarty, K Ho, TY 2012-07-20T14:28:39Z 2013-01-07
dc.identifier.citation IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2013, 32 (1), pp. 59 - 72
dc.identifier.issn 0278-0070
dc.description.abstract Droplet-based digital microfluidics technology has now come of age, and software-controlled biochips for healthcare applications are starting to emerge. However, today's digital microfluidic biochips suffer from the drawback that there is no feedback to the control software from the underlying hardware platform. Due to the lack of precision inherent in biochemical experiments, errors are likely during droplet manipulation; error recovery based on the repetition of experiments leads to wastage of expensive reagents and hard-to-prepare samples. By exploiting recent advances in the integration of optical detectors (sensors) into a digital microfluidics biochip, we present a physical-aware system reconfiguration technique that uses sensor data at intermediate checkpoints to dynamically reconfigure the biochip. A cyberphysical resynthesis technique is used to recompute electrode-actuation sequences, thereby deriving new schedules, module placement, and droplet routing pathways, with minimum impact on the time-to-response. © 2012 IEEE.
dc.format.extent 59 - 72
dc.language.iso en_US en_US
dc.relation.ispartof IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
dc.relation.ispartofseries ECE;2012-3
dc.relation.isversionof 10.1109/TCAD.2012.2211104
dc.title Error recovery in cyberphysical digital microfluidic biochips
dc.type Journal Article
pubs.issue 1
pubs.organisational-group /Duke
pubs.organisational-group /Duke/Pratt School of Engineering
pubs.organisational-group /Duke/Pratt School of Engineering/Electrical and Computer Engineering
pubs.publication-status Published
pubs.volume 32

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