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Design tools for digital microfluidic biochips: toward functional diversification and more than moore

Published: 01 July 2010 Publication History

Abstract

Microfluidics-based biochips enable the precise control of nanoliter volumes of biochemical samples and reagents. They combine electronics with biology, and they integrate various bioassay operations, such as sample preparation, analysis, separation, and detection. Compared to conventional laboratory procedures, which are cumbersome and expensive, miniaturized biochips offer the advantages of higher sensitivity, lower cost due to smaller sample and reagent volumes, system integration, and less likelihood of human error. This paper first describes the droplet-based "digital" microfluidic technology platform and emerging applications. The physical principles underlying droplet actuation are next described. Finally, the paper presents computer-aided design tools for simulation, synthesis and chip optimization. These tools target modeling and simulation, scheduling, module placement, droplet routing, pin-constrained chip design, and testing.

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cover image IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems  Volume 29, Issue 7
July 2010
149 pages

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IEEE Press

Publication History

Published: 01 July 2010
Revised: 01 March 2010
Received: 19 October 2009

Author Tags

  1. Clinical diagnostics
  2. clinical diagnostics
  3. lab-on-chip
  4. simulation
  5. synthesis
  6. testing

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  • (2022)A Survey on Security of Digital Microfluidic Biochips: Technology, Attack, and DefenseACM Transactions on Design Automation of Electronic Systems10.1145/349469727:4(1-33)Online publication date: 12-Feb-2022
  • (2022)Formal Synthesis of Adaptive Droplet Routing for MEDA BiochipsIEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems10.1109/TCAD.2021.311019041:8(2504-2517)Online publication date: 1-Aug-2022
  • (2020)Adaptive droplet routing in digital microfluidic biochips using deep reinforcement learningProceedings of the 37th International Conference on Machine Learning10.5555/3524938.3525500(6050-6060)Online publication date: 13-Jul-2020
  • (2019)Robust sample preparation on digital microfluidic biochipsProceedings of the 24th Asia and South Pacific Design Automation Conference10.1145/3287624.3287709(474-480)Online publication date: 21-Jan-2019
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  • (2017)Adaptive error recovery in MEDA biochips based on droplet-aliquot operations and predictive analysisProceedings of the 36th International Conference on Computer-Aided Design10.5555/3199700.3199782(615-622)Online publication date: 13-Nov-2017
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