Forecast-based sample preparation algorithm for unbalanced splitting correction on DMFBs

Ling Yen Song, Yi Ling Chen, Yung Chun Lei, Juinn Dar Huang

研究成果: Conference contribution同行評審

1 引文 斯高帕斯(Scopus)

摘要

Sample preparation is regarded as one of essential processing steps in most biochemical assays. In the past decade, numerous techniques have been presented to deal with sample preparation under the (1:1) mixing model on digital microfluidic biochips (DMFBs) for various optimization goals. However, most of previous works assumed that mixing-then-splitting would get two identical output droplets, which is not always true due to unbalanced splitting. As a consequence, those works may fail to provide correct solutions at the presence of unbalanced splitting. Several methods have been proposed to deal with this issue. Nevertheless, some of them rely on hypotheses that may not be practical, while the others demand extra reactants or special hardware. In this paper, we propose a new probability-based sample preparation algorithm for unbalanced splitting correction. Our new algorithm not only guarantees a correct solution, but requires neither extra reactants nor on-chip special hardware. Experimental results show that the effect of unbalanced splitting can be eliminated only at the cost of 20% more operation steps. That is, the proposed algorithm is both reliable and efficient.

原文English
主出版物標題Proceedings - 2019 IEEE International Conference on Computer Design, ICCD 2019
發行者Institute of Electrical and Electronics Engineers Inc.
頁面422-428
頁數7
ISBN(電子)9781538666487
DOIs
出版狀態Published - 11月 2019
事件37th IEEE International Conference on Computer Design, ICCD 2019 - Abu Dhabi, United Arab Emirates
持續時間: 17 11月 201920 11月 2019

出版系列

名字Proceedings - 2019 IEEE International Conference on Computer Design, ICCD 2019

Conference

Conference37th IEEE International Conference on Computer Design, ICCD 2019
國家/地區United Arab Emirates
城市Abu Dhabi
期間17/11/1920/11/19

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