Unsupervised data analysis for virus detection with a surface plasmon resonance sensor
Siedhoff D, Strauch M, Shpacovitch V, Merhof D (2018)
Publication Type: Conference contribution
Publication year: 2018
Publisher: Institute of Electrical and Electronics Engineers Inc.
Book Volume: 2018-January
Pages Range: 1-6
Conference Proceedings Title: Proceedings of the 7th International Conference on Image Processing Theory, Tools and Applications, IPTA 2017
Event location: Montreal, QC, CAN
ISBN: 9781538618417
DOI: 10.1109/IPTA.2017.8310145
Abstract
We propose an unsupervised approach for virus detection with a biosensor based on surface plasmon resonance. A column-based non-negative matrix factorisation (NNCX) serves to select virus candidate time series from the spatio-temporal data. The candidates are then separated into true virus adhesions and false positive NNCX responses by fitting a constrained virus model function. In the evaluation on ground truth data, our unsupervised approach compares favourably to a previously published supervised approach that requires more parameters.
Involved external institutions
Technische Universität Dortmund
Germany (DE)
Rheinisch-Westfälische Technische Hochschule (RWTH) Aachen
Germany (DE)
Leibniz-Institut für Analytische Wissenschaften / Leibniz Institute for Analytical Sciences (ISAS)
Germany (DE)
Germany (DE)
Rheinisch-Westfälische Technische Hochschule (RWTH) Aachen
Germany (DE)
Leibniz-Institut für Analytische Wissenschaften / Leibniz Institute for Analytical Sciences (ISAS)
Germany (DE)
How to cite
APA:
Siedhoff, D., Strauch, M., Shpacovitch, V., & Merhof, D. (2018). Unsupervised data analysis for virus detection with a surface plasmon resonance sensor. In Proceedings of the 7th International Conference on Image Processing Theory, Tools and Applications, IPTA 2017 (pp. 1-6). Montreal, QC, CAN: Institute of Electrical and Electronics Engineers Inc..
MLA:
Siedhoff, Dominic, et al. "Unsupervised data analysis for virus detection with a surface plasmon resonance sensor." Proceedings of the 7th International Conference on Image Processing Theory, Tools and Applications, IPTA 2017, Montreal, QC, CAN Institute of Electrical and Electronics Engineers Inc., 2018. 1-6.
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