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Sensors, Volume 19, Issue 19 (October-1 2019)
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Cover Story (view full-size image) A mobile system that can detect viruses in real-time is urgently needed. The PAMONO [...] Read more. A mobile system that can detect viruses in real-time is urgently needed. The PAMONO (plasmon-assisted microscopy of nanosized objects) biosensor represents a viable technology for mobile real-time detection of viruses. It could be used for fast and reliable diagnoses in hospitals, airports, the open air, or other settings. For analysis of the images provided by the sensor, state-of-the-art methods based on convolutional neural networks (CNNs) can achieve high accuracy. Such computationally intensive methods, however, may not be suitable on most resource-constrained mobile systems. In this work, we propose nanoparticle classification approaches based on frequency domain analysis, which are significantly less resource-intensive. With our results, we identify the trade-off between resource efficiency and classification performance for nanoparticle classification. View this paper.