Pareto optimization technique in actuation control for error minimization and reliability analysis in an operational pin-constrained digital microfluidic biochip

Droplet routing in digital microfluidic biochip (DMFB) attempts to reduce overall droplet routing time. This phenomena increases repeated use of electrodes during electro-wetting on dielectrics (EWOD). Repeated use of same electrode requires frequent actuation. Often, this over utilization and frequ...

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Bibliographic Details
Published in:Integration (Amsterdam) 2017-09, Vol.59, p.125-134
Main Authors: Mukherjee, Subhamita, Pan, Indrajit, Samanta, Tuhina
Format: Article
Language:English
Subjects:
Actuation
Actuation factor
Biochips
Data acquisition
Dielectrics
Digital microfluidic biochip
Electrodes
Error analysis
Error minimization
Pareto optimization
Pareto optimum
Pin-constrained design
Reliability
Reliability analysis
Studies
Sucrose
Utilization
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Summary:Droplet routing in digital microfluidic biochip (DMFB) attempts to reduce overall droplet routing time. This phenomena increases repeated use of electrodes during electro-wetting on dielectrics (EWOD). Repeated use of same electrode requires frequent actuation. Often, this over utilization and frequent actuation of same electrodes affects the reliability of DMFB since these electrodes become fault prone under excessive use. Research on fault probability reduction, fault identification and fault management are key issues to achieve reliable output from DMFB. In this paper, a fault management process is focused with the objective to gain reliable performance of DMFB. This method reduces error probabilities of DMFB through a balanced utilization and actuation of electrodes. Initial phase of the proposed work captures the utilization of different electrodes resulting from a pin-constrained droplet routing schedule of DMFB. This initial routing schedule is then reviewed to ensure equitable utilization of electrodes. This will also increase the life-span of electrodes. Consequently, that will lessen fault probability and improve reliability. Finally a Pareto optimal analysis is performed upon the data acquired from previous two processes. These studies have been experimented upon different benchmark samples including in-vitro test suites and complex assay samples like Bradford protein assay, qPCR, sucrose gradient analysis to test its robustness and the results are really encouraging.
ISSN:0167-9260
1872-7522
DOI:10.1016/j.vlsi.2017.07.004