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  4. Hyperspectral imaging using laser excitation for fast raman and fluorescence hyperspectral imaging for sorting and quality control applications
 
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2018
Journal Article
Title

Hyperspectral imaging using laser excitation for fast raman and fluorescence hyperspectral imaging for sorting and quality control applications

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.
Author(s)
Gruber, Florian  
Fraunhofer-Institut für Werkstoff- und Strahltechnik IWS  
Wollmann, Philipp
TU Dresden
Grählert, Wulf  
Fraunhofer-Institut für Werkstoff- und Strahltechnik IWS  
Kaskel, Stefan  
Fraunhofer-Institut für Werkstoff- und Strahltechnik IWS  
Journal
Journal of imaging  
Open Access
DOI
10.3390/jimaging4100110
Additional link
Full text
Language
English
Fraunhofer-Institut für Werkstoff- und Strahltechnik IWS  
Keyword(s)
  • hyperspectral imaging

  • Raman

  • fluorescence

  • sorting

  • quality control

  • black polymer

  • PZT

  • classification

  • machine learning

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