Literature DB >> 27892598

A novel substrate for multisensor hyperspectral imaging.

J Ofner1, J Kirschner2, E Eitenberger1, G Friedbacher1, A Kasper-Giebl1, H Lohninger1, C Eisenmenger-Sittner2, B Lendl1.   

Abstract

The quality of chemical imaging, especially multisensor hyperspectral imaging, strongly depends on sample preparation techniques and instrumental infrastructure but also on the choice of an appropriate imaging substrate. To optimize the combined imaging of Raman microspectroscopy, scanning-electron microscopy and energy-dispersive X-ray spectroscopy, a novel substrate was developed based on sputtering of highly purified aluminium onto classical microscope slides. The novel aluminium substrate overcomes several disadvantages of classical substrates like impurities of the substrate material and contamination of the surface as well as surface roughness and homogeneity. Therefore, it provides excellent conditions for various hyperspectral imaging techniques and enables high-quality multisensor hyperspectral chemical imaging at submicron lateral resolutions.
© 2016 The Authors Journal of Microscopy © 2016 Royal Microscopical Society.

Entities:  

Keywords:  Electron microscopy; Raman microspectroscopy; energy dispersive X-ray spectroscopy; imaging substrate; multisensor hyperspectral imaging

Year:  2016        PMID: 27892598     DOI: 10.1111/jmi.12506

Source DB:  PubMed          Journal:  J Microsc        ISSN: 0022-2720            Impact factor:   1.758


  2 in total

1.  Image-Based Chemical Structure Determination.

Authors:  Johannes Ofner; Florian Brenner; Karin Wieland; Elisabeth Eitenberger; Johannes Kirschner; Christoph Eisenmenger-Sittner; Szilvia Török; Balazs Döme; Thomas Konegger; Anne Kasper-Giebl; Herbert Hutter; Gernot Friedbacher; Bernhard Lendl; Hans Lohninger
Journal:  Sci Rep       Date:  2017-07-28       Impact factor: 4.379

2.  Multisensor hyperspectral imaging approach for the microchemical analysis of ultramarine blue pigments.

Authors:  M González-Cabrera; K Wieland; E Eitenberger; A Bleier; L Brunnbauer; A Limbeck; H Hutter; C Haisch; B Lendl; A Domínguez-Vidal; M J Ayora-Cañada
Journal:  Sci Rep       Date:  2022-01-13       Impact factor: 4.379

  2 in total

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