Design of Fault-Tolerant and Dynamically-Reconfigurable Microfluidic Biochips
Proceedings of the conference on Design, Automation and Test in Europe - Volume 2
Placement of digital microfluidic biochips using the t-tree formulation
Proceedings of the 43rd annual Design Automation Conference
Chemical and Biological Applications of Digital-Microfluidic Devices
IEEE Design & Test
High-level synthesis of digital microfluidic biochips
ACM Journal on Emerging Technologies in Computing Systems (JETC)
Broadcast electrode-addressing for pin-constrained multi-functional digital microfluidic biochips
Proceedings of the 45th annual Design Automation Conference
Design and optimization of a digital microfluidic biochip for protein crystallization
Proceedings of the 2008 IEEE/ACM International Conference on Computer-Aided Design
Practical Arduino: Cool Projects for Open Source Hardware
Practical Arduino: Cool Projects for Open Source Hardware
ACM Journal on Emerging Technologies in Computing Systems (JETC)
Proceedings of the International Conference on Computer-Aided Design
Proceedings of the 50th Annual Design Automation Conference
Optimization of polymerase chain reaction on a cyberphysical digital microfluidic biochip
Proceedings of the International Conference on Computer-Aided Design
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A cyberphysical digital microfluidics system is an emerging technology that enables the integration of fluid-handling operations, reaction-outcome detection, and automated error recovery on a biochip. The cyberphysical biochip system studied thus far suffers from the limitation of a significant increase in reaction time for error recovery. We present a hardware-assisted error-recovery method that relies on an error dictionary for rapid error recovery. The error-recovery procedure and dynamic resynthesis of a reaction, which is especially attractive for flash chemistry, can be implemented in real-time on a single-board microcontroller. In order to store the error dictionary in the limited memory available in the low-cost microcontroller, we describe two compaction techniques. We use three laboratorial protocols to demonstrate that, compared to software-based methods, the proposed dictionary-based error-recovery method has less impact on response time, and requires simple experimental setup, and only a small amount of memory.