Coordinating Multiple Droplets in Planar Array Digital Microfluidics Systems
Eric Griffith and Srinivas Akella
Rensselaer Polytechnic Institute
Low-cost, portable lab-on-a-chip systems capable of rapid automated
biochemical analysis can impact a wide variety of applications
including genetic analysis (medical diagnostics, prenatal and newborn
testing, DNA fingerprinting), biological research (genomics,
proteomics, glycomics, drug discovery), and biochemical sensing (pathogen
detection, air and water monitoring, chemical explosives
detection).
Digital microfluidics is a promising new technology that can
dramatically improve processing of biochemical assays by offering
tremendous flexibility and parallelism through software
reconfigurability. The same hardware can be used for multiple
analyses, even simultaneously. A digital microfluidic system (DMFS)
typically consists of a planar array of cells with electrodes that
control individual droplets of chemicals; the
chemical analysis is performed by moving, mixing, and splitting
droplets. Since the simultaneous coordination of tens or hundreds of
droplets on the array is extremely difficult to program manually,
algorithms to automatically enable the flexible operation of these
devices are essential.
Our research focuses on algorithms to enable the automation of digital
microfluidic system technology. We have developed array layout
designs and algorithms to coordinate droplet operations, and
demonstrated multiplexed analyses in a simulated DMFS. The animations below illustrate
our algorithms in action. For details, please see our
papers .

Based on figure from Duke University
The Components
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Sample Animations
MPEG animations (if you don't want to download the DivX codec).
The animations below were recorded using the DivX codec. It is available free at http://www.divx.com.
Click on an image to view the animation.
Droplet Mixing

Here blue and green droplets enter from the lower left. They are mixed together into a yellow droplet. When mixing is complete, the yellow droplet splits into two yellow droplets, which exit at the lower right.
PCR Reaction

The simplified analysis
graph below outlines the mixing operations
taking place in the animation. Each node is
colored and shaped to match the droplet
produced or introduced by that operation. The
droplets enter from an array of sources along
the left and exit at a sink in the lower
right.

Multiple Simultaneous Reactions

This example demonstrates the PCR reaction being run in parallel with a smaller reaction. The droplets for the PCR reaction are squares and the droplets from the secondary reaction are diamonds. See the analysis graph below.

PCR in Batch Mode

This example
demonstrates the PCR reaction from above being
run in batch mode. After each mixing
operation, one droplet is sent off as waste.
See the reaction graph below.

Unstable PCR System

This example demonstrates the PCR reaction being with droplets entering the system too quickly. The analysis graph below indicates the rates at which the droplets are entering and (ideally) should be moving through the system.

Publications
- L. Luo and S. Akella, ``Optimal Scheduling for Biochemical Analyses
on Digital Microfluidic Systems,'' 2007 IEEE/RSJ International
Conference on Intelligent Robots and Systems, pp. 3151-3157, October
2007.
pdf,
bib .
- M. Gupta and S. Akella, ``A Scheduling and Routing Algorithm for
Digital Microfluidic Ring Layouts with Bus-phase Addressing,''
2007 IEEE/RSJ International Conference on Intelligent
Robots and Systems, pp. 3144-3150, October 2007.
pdf,
bib .
- E. J. Griffith and S. Akella, ``Coordinating Multiple Droplets in Planar
Array Digital Microfluidic Systems,''
International Journal of Robotics Research, Vol. 24,
No. 11, pages 933--949, November 2005. pdf , bib , animations.
- E. J. Griffith, S. Akella, and M. K. Goldberg ``Performance
Characterization of a Reconfigurable Planar Array Digital Microfluidic
System,'' IEEE Transactions on Computer-Aided
Design of Integrated Circuits And Systems, Special issue on Design
Automation Methods and Tools for Microfluidics-Based Biochips,
Vol. 25, No. 2,
pp. 340-352, February 2006. pdf , bib .
Acknowledgment
This work was supported in part by NSF under Award Nos. IIS-0093233,
IIS-0541224, IIS-0713517, CNS-0709099, and CBET-0730817.
Background Information
http://www.ece.duke.edu/Research/microfluidics/
Advanced Liquid Logic
Nanolytics
http://cjmems.seas.ucla.edu/
http://www.ee.washington.edu/research/mems/digitalfluidics/
http://www.lab-on-a-chip.com