Iterative Parallel Test to Detect and Diagnose Multiple Defects for Digital Microfluidic Biochip

Abstract

Digital microfluidic biochip is a revolutionizing platform to execute complex bioassay operations concurrently. Dependability is an important feature of digital microfluidic biochip which is used for many safety-critical applications, such as point-of-care health assessment, air-quality monitoring, and food-safety testing. Therefore to ensure the proper functionality of the biochip a robust offline and online testing is required. Testing can be done before manufacturing or concurrently with other bioassay operations. In this work, we are presenting an efficient parallel testing and diagnosis scheme to reveal the location of all the faulty electrodes. Most of the algorithms present in the literature are mainly focused on single fault identification. But the diagnosis of biochip with multiple faults is not addressed properly. Even some of the algorithms have incorrectly classified the non faulty electrode as a faulty electrode. Thus in this paper, we are mainly focusing on the detection of multiple faults, correctly and efficiently. Moreover, this testing method is capable to check the given biochip with other concurrently running bioassay operations.