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dc.contributor.authorHu, Kaien_US
dc.contributor.authorYu, Feiqiaoen_US
dc.contributor.authorHo, Tsung-Yien_US
dc.contributor.authorChakrabarty, Krishnenduen_US
dc.date.accessioned2015-07-21T11:20:24Z-
dc.date.available2015-07-21T11:20:24Z-
dc.date.issued2014-10-01en_US
dc.identifier.issn0278-0070en_US
dc.identifier.urihttp://dx.doi.org/10.1109/TCAD.2014.2336215en_US
dc.identifier.urihttp://hdl.handle.net/11536/123974-
dc.description.abstractRecent advances in flow-based microfluidics have led to the emergence of biochemistry-on-a-chip as a new paradigm in clinical diagnostics and biomolecular recognition. However, a potential roadblock in the deployment of microfluidic biochips is the lack of test techniques to screen defective devices before they are used for biochemical analysis. Defective chips lead to repetition of experiments, which is undesirable due to high reagent cost and limited availability of samples. Prior work on fault detection in biochips has been limited to digital ("droplet") microfluidics and other electrode-based technology platforms. The paper proposes the first approach for automated testing of flow-based microfluidic biochips that are designed using membrane-based valves for flow control. The proposed test technique is based on a behavioral abstraction of physical defects in microchannels and valves. The flow paths and flow control in the microfluidic device are modeled as a logic circuit composed of Boolean gates, which allows test generation to be carried out using standard automatic test pattern generation tools. The tests derived using the logic circuit model are then mapped to fluidic operations involving pumps and pressure sensors in the biochip. Feedback from pressure sensors can be compared to expected responses based on the logic circuit model, whereby the types and positions of defects are identified. We show how a fabricated biochip can be tested using the proposed method, and demonstrate experimental results for two additional fabricated chips.en_US
dc.language.isoen_USen_US
dc.subjectAutomatic test pattern generation (ATPG)en_US
dc.subjectdefectsen_US
dc.subjectfault modelingen_US
dc.subjectlab-on-chipen_US
dc.subjectmicrofluidicsen_US
dc.subjecttestingen_US
dc.titleTesting of Flow-Based Microfluidic Biochips: Fault Modeling, Test Generation, and Experimental Demonstrationen_US
dc.typeArticleen_US
dc.identifier.doi10.1109/TCAD.2014.2336215en_US
dc.identifier.journalIEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMSen_US
dc.citation.volume33en_US
dc.citation.issue10en_US
dc.citation.spage1463en_US
dc.citation.epage1475en_US
dc.contributor.department資訊工程學系zh_TW
dc.contributor.departmentDepartment of Computer Scienceen_US
dc.identifier.wosnumberWOS:000344529700003en_US
dc.citation.woscount0en_US
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