Digital Microfluidic Biochips Online Fault Detection Route Optimization Scheme

Abstract

Digital microfluidic biochips(DMFBs) have been widely used in biology, medicine and chemical experiments. These areas all have high requirements on the reliability of experimental results. Therefore, it is necessary to conduct chip failure detection during the experiment. In this work, based on Employed particle swarm optimization algorithm, the fault detection route optimization of direct-addressing and pin-constrained digital microfluidic chips are respectively studied. Combining the employed search operator of Artificial Bee Colony algorithm and Particle Swarm Optimization, the method can improve the searching accuracy of the algorithm while exploiting the ability of algorithm exploration. The simulation experiment is carried out by using the multi-element biochemical test chip model. The results show that the proposed method can shorten the fault detection path and improve the fault detection efficiency.