Multi-objective sample preparation algorithm for microfluidic biochips supporting various mixing models

Yung Chun Lei, Tung Hsuan Lin, Juinn Dar Huang

研究成果: Conference contribution同行評審

8 引文 斯高帕斯(Scopus)

摘要

Sample preparation is one of the most crucial processes in most biochemical applications. Reagents are repeatedly diluted in an appropriate sequence to get a target solution with a specific concentration value. For flow-based microfluidic biochips (FMFBs), several research works have been proposed for reactant minimization. In this paper, we propose the first sample preparation algorithm for microfluidic biochips with various mixing models that can perform multi-objective optimization simultaneously. It first formulates the problem in a network-flow model and then solves it through integer linear programming (ILP). Experimental results show that the proposed method can provide better solutions (in terms of reactant, waste, and operation jointly) as compared with the prior art.

原文English
主出版物標題Proceedings - 29th IEEE International System on Chip Conference, SOCC 2016
編輯Karan Bhatia, Massimo Alioto, Danella Zhao, Andrew Marshall, Ramalingam Sridhar
發行者IEEE Computer Society
頁面96-101
頁數6
ISBN(電子)9781509013661
DOIs
出版狀態Published - 2 7月 2016
事件29th IEEE International System on Chip Conference, SOCC 2016 - Seattle, United States
持續時間: 6 9月 20169 9月 2016

出版系列

名字International System on Chip Conference
0
ISSN(列印)2164-1676
ISSN(電子)2164-1706

Conference

Conference29th IEEE International System on Chip Conference, SOCC 2016
國家/地區United States
城市Seattle
期間6/09/169/09/16

指紋

深入研究「Multi-objective sample preparation algorithm for microfluidic biochips supporting various mixing models」主題。共同形成了獨特的指紋。

引用此