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.

Highlights

  • Hyperspectral imaging (HSI) technologies are increasingly being used in the fields of remote sensing [1], agriculture [2,3], pharmaceuticals [4,5], and medicine [6,7]

  • Methods use broadband lighting for a sufficient excitation in the whole spectral range of interest, while other methods, such as laser-induced fluorescence (LIF) and Raman his, are not very common in the field of macroscopic HSI, they are widely used for microscopic imaging [13,14,15]

  • The experiments carried out show that the described Laser-HSI system makes it possible to measure the Raman or fluorescence spectra of relatively large sample areas, with a high spatial resolution and in a relatively short amount of time

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Summary

Introduction

Hyperspectral imaging (HSI) technologies are increasingly being used in the fields of remote sensing [1], agriculture [2,3], pharmaceuticals [4,5], and medicine [6,7]. Hyperspectral imaging methods are mainly used in the ultraviolet (UV), visible (VIS) and near-infrared (NIR) spectral ranges, because they are reasonably inexpensive, readily available, and ideally suited and proven for on-line or in-line quality control [11,12]. These methods allow a fast and extensive inspection of samples or continuous processes. Common HSI methods use broadband lighting for a sufficient excitation in the whole spectral range of interest, while other methods, such as laser-induced fluorescence (LIF) and Raman his, are not very common in the field of macroscopic HSI, they are widely used for microscopic imaging [13,14,15].

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