Deep learning for ‘artefact’ removal in infrared spectroscopy
Author:
Affiliation:
1. Leibniz Institute of Photonic Technology Jena (IPHT Jena)
2. Member of Leibniz Health Technologies
3. 07745 Jena
4. Germany
5. Institute of Physical Chemistry and Abbe Center of Photonics
Abstract
To remove the 'artefact' in IR spectroscopy, a 1-dimensional U-shape convolutional neural network (1D U-Net) was developed.
Funder
Bundesministerium für Bildung und Forschung
China Scholarship Council
Deutsche Forschungsgemeinschaft
European Social Fund
Publisher
Royal Society of Chemistry (RSC)
Subject
Electrochemistry,Spectroscopy,Environmental Chemistry,Biochemistry,Analytical Chemistry
Link
http://pubs.rsc.org/en/content/articlepdf/2020/AN/D0AN00917B
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