Chemical and Biological Applications of Digital-Microfluidic Devices
IEEE Design & Test
Abstraction layers for scalable microfluidic biocomputing
Natural Computing: an international journal
Optimization of dilution and mixing of biochemical samples using digital microfluidic biochips
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
Layout-Aware Solution Preparation for Biochemical Analysis on a Digital Microfluidic Biochip
VLSID '11 Proceedings of the 2011 24th International Conference on VLSI Design
Digital microfluidic biochips: a vision for functional diversity and more than Moore
Proceedings of the International Conference on Computer-Aided Design
Performance Characterization of a Reconfigurable Planar-Array Digital Microfluidic System
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
On-Chip Sample Preparation with Multiple Dilutions Using Digital Microfluidics
ISVLSI '12 Proceedings of the 2012 IEEE Computer Society Annual Symposium on VLSI
Algorithms for On-Chip Solution Preparation Using Digital Microfluidic Biochips
ISVLSI '12 Proceedings of the 2012 IEEE Computer Society Annual Symposium on VLSI
Design methodology for sample preparation on digital microfluidic biochips
ICCD '12 Proceedings of the 2012 IEEE 30th International Conference on Computer Design (ICCD 2012)
Proceedings of the International Conference on Computer-Aided Design
Low-Cost Dilution Engine for Sample Preparation in Digital Microfluidic Biochips
ISED '12 Proceedings of the 2012 International Symposium on Electronic System Design
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Sample preparation is an essential processing step in most biochemical applications. Various reactants are mixed together to produce a solution with the target concentration. Since reactants generally take a notable part of the cost in a bioassay, their usage should be minimized whenever possible. In this paper, we propose an algorithm, CoDOS, to prepare the target solution with many reactants using common dilution operation sharing on digital microfluidic biochips (DMFBs). CoDOS first represents the given target concentration as a recipe matrix, and then identifies rectangles in the matrix, where each rectangle indicates an opportunity of dilution operation sharing for reactant minimization. Experimental results demonstrate that CoDOS can achieve up to 27% of reactant saving as compared with the bit-scanning method in single-target sample preparation. Moreover, even if CoDOS is not developed for multi-target sample preparation, it still outperforms the recent state-of-the-art algorithm, RSMA. Hence, it is convincing that CoDOS is a better alternative for many-reactant sample preparation.