Lookup Table-Based Fast Reliability-Aware Sample Preparation Using Digital Microfluidic Biochips
| العنوان: | Lookup Table-Based Fast Reliability-Aware Sample Preparation Using Digital Microfluidic Biochips |
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| المؤلفون: | Hailong Yao, Wentai Li, Tsung-Yi Ho, Lingxuan Shao, Sudip Roy |
| المصدر: | IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 39:2708-2721 |
| بيانات النشر: | Institute of Electrical and Electronics Engineers (IEEE), 2020. |
| سنة النشر: | 2020 |
| مصطلحات موضوعية: | Computer science, Rasp, Microfluidics, Probabilistic logic, Statistical model, 02 engineering and technology, Computer Graphics and Computer-Aided Design, 020202 computer hardware & architecture, Lookup table, 0202 electrical engineering, electronic engineering, information engineering, Sample preparation, Electronic design automation, Electrical and Electronic Engineering, Biochip, Algorithm, Software, Reliability (statistics) |
| الوصف: | Reliability of the prepared fluidic samples is a major concern for automated sample preparation using microfluidic biochips, where induced errors in the resultant concentration values severely affect the assay outcome. However, the existing design automation techniques have not thoroughly considered the reliability model to reduce the induced concentration errors during sample preparation. This article proposes a fast reliability-aware sample preparation (RASP) method for determining the optimized sequence of mixing steps (mixing process) with the enhanced reliability. In RASP, a probabilistic concentration prediction model is proposed for analyzing the reliability of a given mixing process. Based on this probabilistic model, a lookup table construction algorithm along with the table query method is proposed to obtain the optimized mixing process. The simulation results show that for any user-specified target concentration, RASP can effectively determine the optimized mixing process, which generates the droplets with target concentration within the error tolerance of 0.1%. Compared with the state-of-the-art sample preparation algorithm, RASP improves the reliability-related accuracy by 91.4% on average via 2048 testcases. |
| تدمد: | 1937-4151 0278-0070 |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_________::d0a02ce29e7b4eb92aa74391788a0cab https://doi.org/10.1109/tcad.2019.2948907 |
| حقوق: | CLOSED |
| رقم الأكسشن: | edsair.doi...........d0a02ce29e7b4eb92aa74391788a0cab |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 19374151 02780070 |
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