Multi-Target many-reactant sample preparation for reactant minimization on microfluidic biochips

Yung Chun Lei, Tien Kuo Lin, Juinn-Dar Huang

研究成果: Conference contribution同行評審

摘要

Sample preparation is one of essential steps in biochemical applications. It produces solutions with target concentrations through mixing various reactants in a specific way. In this paper, we propose a reactant cost minimization technique, M2SPA, for multi-Target many-reactant sample preparation on microfluidic biochips through maximally sharing identical intermediate solutions among different targets. M2SPA first represents target concentrations as a recipe cube, searches all feasible candidates for intermediate solution sharing among targets, and then selects the one with the best cost saving for action. Experimental results show that the proposed algorithm can reduce up to 15.7% of reactant cost as compared to a state-of-The-Art method.

原文English
主出版物標題Proceedings - 2018 IEEE Computer Society Annual Symposium on VLSI, ISVLSI 2018
發行者IEEE Computer Society
頁面655-659
頁數5
ISBN(列印)9781538670996
DOIs
出版狀態Published - 7 8月 2018
事件17th IEEE Computer Society Annual Symposium on VLSI, ISVLSI 2018 - Hong Kong, Hong Kong
持續時間: 9 7月 201811 7月 2018

出版系列

名字Proceedings of IEEE Computer Society Annual Symposium on VLSI, ISVLSI
2018-July
ISSN(列印)2159-3469
ISSN(電子)2159-3477

Conference

Conference17th IEEE Computer Society Annual Symposium on VLSI, ISVLSI 2018
國家/地區Hong Kong
城市Hong Kong
期間9/07/1811/07/18

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