Abstract
Due to applications in areas such as diagnostics and environmental safety, detection of molecules at very low concentrations has attracted recent attention. A powerful tool for this is Surface Enhanced Raman Spectroscopy (SERS) where substrates form localized areas of electromagnetic “hot spots” where the signal-to-noise (SNR) ratio is greatly amplified. However, at low concentrations hot spots with target molecules bound are rare. Furthermore, traditional detection relies on having uncontaminated sensor readings which is unrealistic in a real world detection setting. In this paper, we propose a Bayesian Non-negative Matrix Factorization (NMF) approach to identify locations of target molecules. The proposed method is able to successfully analyze the spectra and extract the target spectrum. A visualization of the loadings of the basis vector is created and the results show a clear SNR enhancement. Compared to traditional data processing, the NMF approach enables a more reproducible and sensitive sensor.
Original language | English |
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Title of host publication | Proceedings of the 2014 IEEE International Workshop on Machine Learning for Signal Processing (MLSP) |
Editors | Mamadou Mboup, Tülay Adali , Éric Moreau, Jan Larsen |
Number of pages | 6 |
Publisher | IEEE |
Publication date | 2014 |
ISBN (Print) | 978-1-4799-3694-6 |
DOIs | |
Publication status | Published - 2014 |
Event | 24th IEEE International Workshop on Machine Learning for Signal Processing - Reims Centre des Congrès, Reims, France Duration: 21 Sep 2014 → 24 Sep 2014 Conference number: 24 http://mlsp2014.conwiz.dk/home.htm http://mlsp2014.conwiz.dk/home.htm |
Conference
Conference | 24th IEEE International Workshop on Machine Learning for Signal Processing |
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Number | 24 |
Location | Reims Centre des Congrès |
Country | France |
City | Reims |
Period | 21/09/2014 → 24/09/2014 |
Internet address |
Keywords
- Bioengineering
- Communication, Networking and Broadcast Technologies
- Computing and Processing
- Engineering Profession
- Signal Processing and Analysis
- 17β-Estradiol
- Abstracts
- Biosensing
- Non-negative Matrix Factorization (NMF)
- Spectroscopy
- Surface Enhanced Raman Spectroscopy (SERS)
- Unsupervised Learning