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doi: 10.7873/DATE.2015.1126
Error Recovery in Digital Microfluidics for Personalized Medicine
Mohamed Ibrahima and Krishnendu Chakrabartyb
Department of Electrical and Computer Engineering
Duke University, Durham, USA.
amohamed.s.ibrahim@duke.edu
bkrishnendu.chakrabarty@duke.edu
ABSTRACT
Due to its emergence as an efficient platform for
point-of-care clinical diagnostics, design optimization of digital-
microfluidic biochips (DMFBs) has received considerable atten-
tion in recent years. In particular, error recoverability is of
key interest in medical applications due to the need for system
reliability. Errors are likely during droplet manipulation due to
defects, chip degradation, and the lack of precision inherent in
biochemical experiments. We present an illustrative survey on
recently proposed techniques for error recovery. The parameters
of the error-recovery design space are shown and evaluated
for these schemes. Next, we make use of these evaluations to
describe how they can guide error recovery in DMFBs. Finally,
an experimental case study is presented to demonstrate how an
error-recovery scheme can be applied to real-life biochips.
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