Two independent publications from subproject B2 have been honored with a Best Paper Award at different conferences dealing with the automatic classification of nano-objects (e. g. viruses) in noisy sensor data. They provide a valuable contribution to the automatic analysis of medical probes using the PAMONO sensor.

The joint work "Real-Time Low SNR Signal Processing for Nanoparticle Analysis with Deep Neural Networks" of Jan Eric Lenssen, Anas Toma, Albert Seebold, Victoria Shpacovitch, Pascal Libuschewski, Frank Weichert, Jian-Jia Chen and Roland Hergenröder received the Best Paper Award of the BIOSIGNALS 2018.

The joint work "Unsupervised Data Analysis for Virus Detection with a Surface Plasmon Resonance Sensor" of Dominic Siedhoff, Martin Strauch, Victoria Shpacovitch and Dorit Merhof received the Best Paper Award of the IEEE International Conference on Image Processing Theory, Tools and Applications (IPTA) 2017. The approach was developed in cooperation with the Department of Image Processing, RWTH Aachen University.