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J. Imaging 2018, 4(10), 110; https://doi.org/10.3390/jimaging4100110

Hyperspectral Imaging Using Laser Excitation for Fast Raman and Fluorescence Hyperspectral Imaging for Sorting and Quality Control Applications

1
Department Chemical Surface and Reaction Technology, Fraunhofer Institute for Material and Beam Technology (IWS) Dresden, Winterbergstr. 28, 01277 Dresden, Germany
2
Chair for Electrochemistry, Technische Universitaet Dresden, Zellescher Weg 19, 01069 Dresden, Germany
*
Author to whom correspondence should be addressed.
Received: 24 August 2018 / Revised: 14 September 2018 / Accepted: 19 September 2018 / Published: 21 September 2018
(This article belongs to the Special Issue The Future of Hyperspectral Imaging)
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Abstract

A hyperspectral measurement system for the fast and large area measurement of Raman and fluorescence signals was developed, characterized and tested. This laser hyperspectral imaging system (Laser-HSI) can be used for sorting tasks and for continuous quality monitoring. The system uses a 532 nm Nd:YAG laser and a standard pushbroom HSI camera. Depending on the lens selected, it is possible to cover large areas (e.g., field of view (FOV) = 386 mm) or to achieve high spatial resolutions (e.g., 0.02 mm). The developed Laser-HSI was used for four exemplary experiments: (a) the measurement and classification of a mixture of sulphur and naphthalene; (b) the measurement of carotenoid distribution in a carrot slice; (c) the classification of black polymer particles; and, (d) the localization of impurities on a lead zirconate titanate (PZT) piezoelectric actuator. It could be shown that the measurement data obtained were in good agreement with reference measurements taken with a high-resolution Raman microscope. Furthermore, the suitability of the measurements for classification using machine learning algorithms was also demonstrated. The developed Laser-HSI could be used in the future for complex quality control or sorting tasks where conventional HSI systems fail. View Full-Text
Keywords: hyperspectral imaging; Raman; fluorescence; sorting; quality control; black polymers; PZT; classification; machine learning hyperspectral imaging; Raman; fluorescence; sorting; quality control; black polymers; PZT; classification; machine learning
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Gruber, F.; Wollmann, P.; Grählert, W.; Kaskel, S. Hyperspectral Imaging Using Laser Excitation for Fast Raman and Fluorescence Hyperspectral Imaging for Sorting and Quality Control Applications. J. Imaging 2018, 4, 110.

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