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dc.contributor.authorSong, Ling-Yenen_US
dc.contributor.authorLi, Yu-Yingen_US
dc.contributor.authorLei, Yung-Chunen_US
dc.contributor.authorHuang, Juinn-Daren_US
dc.date.accessioned2020-07-01T05:21:48Z-
dc.date.available2020-07-01T05:21:48Z-
dc.date.issued2019-01-01en_US
dc.identifier.isbn978-1-7281-3391-1en_US
dc.identifier.issn2159-3469en_US
dc.identifier.urihttp://dx.doi.org/10.1109/ISVLSI.2019.00083en_US
dc.identifier.urihttp://hdl.handle.net/11536/154476-
dc.description.abstractSample preparation is one of the essential processes for most biochemical assays on biochips. Many studies have been conducted for dealing with the reactant minimization problem during sample preparation. Nevertheless, those approaches try to minimize reactant consumption at the cost of more extra operations, which may lead to deterioration of reactant and even wrong results. In this paper, we propose a time-constrained sample preparation algorithm for reactant minimization on digital microfluidic biochips (DMFBs). Starting from a given reactant-minimized solution, the proposed algorithm tries to incrementally reduce the operation count at the cost of more reactant consumption to meet the given timing constraint. The experimental results show that our algorithm achieves a 33% reactant reduction over a delay-optimal method with the same operation time. Meanwhile, the proposed method can save 5% operation count as compared with a state-of-the-art reactant minimization algorithm under the same reactant consumption.en_US
dc.language.isoen_USen_US
dc.titleTime-Constrained Sample Preparation Algorithm for Reactant Minimization on Digital Microfluidic Biochipsen_US
dc.typeProceedings Paperen_US
dc.identifier.doi10.1109/ISVLSI.2019.00083en_US
dc.identifier.journal2019 IEEE COMPUTER SOCIETY ANNUAL SYMPOSIUM ON VLSI (ISVLSI 2019)en_US
dc.citation.spage426en_US
dc.citation.epage431en_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:000538332100074en_US
dc.citation.woscount0en_US
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