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Wuestefeld/Weichert/2020a: An Automated Rapid Test for Viral Nanoparticles Based on Spatiotemporal Deep Learning

Bibtype Inproceedings
Bibkey Wuestefeld/Weichert/2020a
Author Wüstefeld, Konstantin and Weichert, Frank
Title An Automated Rapid Test for Viral Nanoparticles Based on Spatiotemporal Deep Learning
Booktitle 2020 IEEE Sensors
Pages 1-4
Abstract The recent outbreak of the COVID-19 pandemic has
shown the importance of medical testing for an early detection
of regional disease hot spots. The PAMONO sensor (Plasmon-
Assisted Microscopy of Nano-Objects) can detect virus-like particles.
It utilizes the surface plasmon resonance of particles
attaching to an antibody coated gold plate to generate a stream
of noisy images containing characteristic spatiotemporal signals.
These signals are then analyzed via a deep neural network based
architecture which targets a parameter-free usage on-site. It is
able to detect individual (virus) particles within ten seconds and
to reach a count exactness of higher than 80% in a minute.
Note DOI=10.1109/SENSORS47125.2020.9278935
Month 10
Year 2020
Projekt SFB876-B2
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