Title | ||
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Integrated And Real-Time Quantitative Analysis Using Cyberphysical Digital-Microfluidic Biochips |
Abstract | ||
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Considerable effort has recently been directed towards the implementation of molecular bioassays on digital-microfluidic biochips. However, today's solutions suffer from the drawback that multiple sample pathways are not supported and on-chip reconfigurable devices are not efficiently exploited. To overcome this problem, we present a spatial-reconfiguration technique that incorporates resource-sharing specifications into the synthesis flow. This technique is combined with cyberphysical integration to develop the first design-automation framework for quantitative gene expression. The proposed framework is based on a real-time resource-allocation algorithm that responds promptly to decisions about the protocol flow received from a firmware layer. Simulation results show that our adaptive framework efficiently utilizes on-chip resources to reduce time-to-result without sacrificing the chip's lifetime. |
Year | Venue | Field |
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2016 | PROCEEDINGS OF THE 2016 DESIGN, AUTOMATION & TEST IN EUROPE CONFERENCE & EXHIBITION (DATE) | System on a chip,Biochip,Computer science,Microfluidics,Real-time computing,Chip,Firmware,Embedded system,Statistical analysis |
DocType | ISSN | Citations |
Conference | 1530-1591 | 4 |
PageRank | References | Authors |
0.47 | 11 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Mohamed Ibrahim | 1 | 453 | 35.03 |
K Chakrabarty | 2 | 8173 | 636.14 |
Kristin Scott | 3 | 15 | 1.78 |