A droplet-manipulation method for achieving high-throughput in cross-referencing-based digital microfluidic biochips
Digital microfluidic biochips are revolutionizing high-throughput DNA, immunoassays, and clinical diagnostics. As high-throughput bioassays are mapped to digital microfluidic platforms, the need for design automation techniques for pin-constrained biochips is being increasingly felt. However, most prior work on biochips computer-aided design has assumed independent control of the underlying electrodes using a large number of (electrical) input pins. We propose a dropletmanipulation method based on a "cross-referencing" addressing method that uses "row" and "columns" to access electrodes. By mapping the droplet-movement problem on a cross-referenced chip to the clique-partitioning problem from graph theory, the proposed method allows simultaneous movement of a large number of droplets on a microfluidic array. Concurrency is enhanced through the use of an efficient scheduling algorithm that determines the order in which groups of droplets are moved. The proposed design-automation method facilitates high-throughput applications on a pin-constrained biochip, and it is evaluated using random synthetic benchmarks and a set of multiplexed bioassays. © 2008 IEEE.
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