Online Parallel Testing of Pin-constrained Digital Microfluidic Biochips
Xu Chuan-pei Chen Chun-yan Wang Jie-jun
(School of Electronic Engineering and Automation, Guilin University of Electronic Technology, Guilin 541004, China)
(Guangxi Key Laboratory of Automatic Detecting Technology and Instruments, Guilin 541004, China)
As digital microfluidic biochips are widely used in biochemical field, it highly demands the chip reliability and manufacturing costs. Online testing is an important method to ensure the normal work of the digital microfluidic biochips. In this paper, an online parallel testing scheme is proposed based on improved max-min ant colony algorithm for pin-constrained digital microfluidic biochips. The scheme uses pseudo-random-proportional rules, establishes a taboo judgment strategy, and changes the pheromone trail persistence adaptively to realize the online parallel testing of pin-constrained digital microfluidic biochips. The experiment results show that the proposed method can be used for both offline and online testing, and compared with the offline and online testing of the single droplet, the proposed method can effectively reduce the test time and improve the efficiency.
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