Automated Hyperspectral 2D/3D Raman Analysis Using the Learner-Predictor Strategy: Machine Learning-Based Inline Raman Data Analytics
Author:
Affiliation:
1. NISSAN ARC Ltd., 1-Natsushima-cho, Yokosuka 236-0061, Japan
2. Graduate School of Nanobioscience, Yokohama City University, 22-2 Seto, Kanazawa-Ku, Yokohama 236-0027, Japan
Publisher
American Chemical Society (ACS)
Subject
Analytical Chemistry
Link
https://pubs.acs.org/doi/pdf/10.1021/acs.analchem.1c01966
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1. Unsupervised phase mapping of X-ray diffraction data by nonnegative matrix factorization integrated with custom clustering
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4. Non-contact Raman spectroscopy for in-line monitoring of glucose and ethanol during yeast fermentations
5. Fast and quantitative 2D and 3D orientation mapping using Raman microscopy
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