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Fuzzy-enhanced, Real-time Capable Detection of Biological Viruses using a Portable Biosensor

This work presents a novel portable biosensor for indirect detection of viruses by optical microscopy. The focus lies on energy-efficient real-time data analysis for automated virus detection. The superiority of our fuzzy-enhanced time-series analysis over hard thresholding is demonstrated. Real-time capability is achieved through general-purpose computing on graphics processing units (GPGPU). It is shown that this virus detection is real-time capable on an off-the-shelf laptop computer, allowing for a wide range of in-field use-cases.