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dc.contributor.authorBhattacharjee, Sukantaen_US
dc.contributor.authorChen, Yi-Lingen_US
dc.contributor.authorHuang, Juinn-Daren_US
dc.contributor.authorBhattacharya, Bhargab B.en_US
dc.date.accessioned2018-08-21T05:53:45Z-
dc.date.available2018-08-21T05:53:45Z-
dc.date.issued2018-04-01en_US
dc.identifier.issn1539-9087en_US
dc.identifier.urihttp://dx.doi.org/10.1145/3157094en_US
dc.identifier.urihttp://hdl.handle.net/11536/145103-
dc.description.abstractSample preparation plays a crucial role in almost all biochemical applications, since a predominant portion of biochemical analysis time is associated with sample collection, transportation, and preparation. Many sample-preparation algorithms are proposed in the literature that are suitable for execution on programmable digital microfluidic (DMF) platforms. In most of the existing DMF-based sample-preparation algorithms, a fixed target ratio is provided as input, and the corresponding mixing tree is generated as output. However, in many biochemical applications, target mixtures with exact component proportions may not be needed. From a biochemical perspective, it may be sufficient to prepare a mixture in which the input reagents may lie within a range of concentration factors. The choice of a particular valid ratio, however, strongly impacts solution-preparation cost and time. To address this problem, we propose a concentration-resilient ratioselection method from the input ratio space so that the reactant cost is minimized. We propose an integer linear programming-based method that terminates very fast while producing the optimum solution, considering both uniform and weighted cost of reagents. Experimental results reveal that the proposed method can be used conveniently in tandem with several existing sample-preparation algorithms for improving their performance.en_US
dc.language.isoen_USen_US
dc.subjectLab-on-a-chipen_US
dc.subjectDigital microfluidic biochipen_US
dc.subjectSample preparationen_US
dc.titleConcentration-Resilient Mixture Preparation with Digital Microfluidic Lab-on-Chipen_US
dc.typeArticleen_US
dc.identifier.doi10.1145/3157094en_US
dc.identifier.journalACM TRANSACTIONS ON EMBEDDED COMPUTING SYSTEMSen_US
dc.citation.volume17en_US
dc.contributor.department電子工程學系及電子研究所zh_TW
dc.contributor.departmentDepartment of Electronics Engineering and Institute of Electronicsen_US
dc.identifier.wosnumberWOS:000434645500021en_US
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