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Yang Zhao

Researcher at Duke University

Publications -  22
Citations -  490

Yang Zhao is an academic researcher from Duke University. The author has contributed to research in topics: Biochip & Digital microfluidics. The author has an hindex of 12, co-authored 22 publications receiving 480 citations. Previous affiliations of Yang Zhao include Advanced Micro Devices.

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Journal ArticleDOI

Cross-Contamination Avoidance for Droplet Routing in Digital Microfluidic Biochips

TL;DR: A droplet-routing method that avoids cross-contamination in the optimization of droplet flow paths and targets disjoint droplet routes and minimizes the number of cells used for droplet routing is proposed.
Journal ArticleDOI

Integrated control-path design and error recovery in the synthesis of digital microfluidic lab-on-chip

TL;DR: A synthesis method is presented that incorporates control paths and an error-recovery mechanism in the design of a digital microfluidic lab-on-chip and can reduce the completion time by 30% when errors occur during the implementation of the bioassay.
Proceedings ArticleDOI

Synchronization of washing operations with droplet routing for cross-contamination avoidance in digital microfluidic biochips

TL;DR: A wash-operation synchronization method to manipulate wash droplets to clean the residue that is left behind by sample and reagent droplets and synchronize wash-droplet routing with sample/reagent droplet-routing steps by controlling the arrival order of droplets at cross-contamination sites.
Journal ArticleDOI

Broadcast Electrode-Addressing and Scheduling Methods for Pin-Constrained Digital Microfluidic Biochips

TL;DR: A broadcast-addressing-based design technique for pin-constrained multifunctional biochips that provides high throughput for bioassays and it reduces the number of control pins by identifying and connecting control pins with “compatible” actuation sequences.
Proceedings ArticleDOI

Cross-contamination avoidance for droplet routing in digital microfluidic biochips

TL;DR: In this article, the authors proposed a droplet-routing method that avoids cross-contamination in the optimization of droplet flow paths and minimizes the number of cells used for droplet routing.