Papers Published

1. Zhong, Z; Li, Z; Chakrabarty, K, Adaptive error recovery in MEDA biochips based on droplet-aliquot operations and predictive analysis, Ieee/Acm International Conference on Computer Aided Design, Digest of Technical Papers, Iccad, vol. 2017-November (December, 2017), pp. 615-622, IEEE [doi] .
   (last updated on 2022/12/30)

   Abstract:
   Digital microfluidic biochips (DMFBs) are being increasingly used in biochemistry labs for automating bioassays. However, traditional DMFBs suffer from some key shortcomings: 1) inability to vary droplet volume in a flexible manner; 2) difficulty of integrating on-chip sensors; 3) the need for special fabrication processes. To overcome these problems, DMFBs based on micro-electrode-dot-array (MEDA) have recently be-en proposed. However, errors are likely to occur on a MEDA DMFB due to chip defects and the unpredictability inherent to biochemical experiments. We present fine-grained error-recovery solutions for MEDA by exploiting real-time sensing and advanced MEDA-specific droplet operations. The proposed methods rely on adaptive droplet-aliquot operations and predictive analysis of mixing. Experimental results on three representative benchmarks demonstrate the efficiency of the proposed error-recovery strategy.