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Test and diagnosis of paper-based microfluidic biochips

Authors: Jain-De Li; Sying-Jyan Wang; Katherine Shu-Min Li; Tsung-Yi Ho;

Test and diagnosis of paper-based microfluidic biochips

Abstract

Recently paper-based microfluidic chips have been proposed to achieve microfluidic analysis for many applications. Such chips achieve "lab-on-paper" instead of traditional "lab-on-chips". The paper substrate is attractive because it is cost-effective, easy to use and disposable, fully compatible with most medical/biochemical applications, and offering liquid flow by capillary without being relied on external forces and equipment. Test methods for digital microfluidic (DMF) biochips have been studied for years; however, they are developed for traditional DMF chips and thus are not directly applicable to paper-based DMF (PB-DMF) chips. In PB-DMF chips, electrodes are control wires are printed on the same paper surface, while electrodes can be placed with custom structure. In this paper, we present test and diagnosis methods for faults in PB-DMF. A design-for-diagnosability scheme is proposed, and it is shown that single faults can be located and tolerated by providing alternative paths in PB-DMF chips. The feasibility of the proposed method is validated through experiments.

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    influence
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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
12
Top 10%
Top 10%
Average
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