Titlebook: Design and Testing of Digital Microfluidic Biochips; Yang Zhao,Krishnendu Chakrabarty Book 2013 Springer Science+Business Media New York 2

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熔岩

Influx

Entropy Guided Transformation Learningfully synchronized. A two-phase optimization method has been proposed to identify and synchronize these fluidic operations. The goal is to implement these fluidic operations without pin-actuation conflict, and minimize the duration of implementing the outcome sequence after synchronization.

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偏离

An Overview on Mining Data Streams have also emerged for the automated design of lab-on-chip from the specifications of laboratory protocols. However, none of these tools consider control flow or address the problem of recovering from fluidic errors that can occur during on-chip bioassay execution.

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An Overview on Mining Data Streamsod has been developed to incorporate control paths and an error-recovery mechanism during chip design. This method addresses the problem of recovering from fluidic errors that occur during on-chip bioassay execution.

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FOVEA

Optimization of Droplet Routing and Control-Pin Mapping to Electrodes,ket place, especially for disposable PCB devices that are being developed for clinical and point-of-care diagnostics. However, most prior work on pin-constrained biochip design considers droplet routing and the assignment of pins to electrodes as independent problems.

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Integrated Control-Path Design and Error Recovery, have also emerged for the automated design of lab-on-chip from the specifications of laboratory protocols. However, none of these tools consider control flow or address the problem of recovering from fluidic errors that can occur during on-chip bioassay execution.

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Conclusions,od has been developed to incorporate control paths and an error-recovery mechanism during chip design. This method addresses the problem of recovering from fluidic errors that occur during on-chip bioassay execution.