Articles | Volume 6, issue 2
https://doi.org/10.5194/gi-6-429-2017
https://doi.org/10.5194/gi-6-429-2017
Research article
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18 Oct 2017
Research article | Highlight paper |  | 18 Oct 2017

Automated mineralogy based on micro-energy-dispersive X-ray fluorescence microscopy (µ-EDXRF) applied to plutonic rock thin sections in comparison to a mineral liberation analyzer

Wilhelm Nikonow and Dieter Rammlmair

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Cited articles

Belissont, R., Muñoz, M., Boiron, M.-C., Luais, B., and Mathon, O.: Distribution and oxidation state of Ge, Cu and Fe in sphalerite by µ-XRF and K-edge µ-XANES: insights into Ge incorporation, partitioning and isotopic fractionation, Geochim. Cosmochim. Acta, 177, 298–314, 2016.
Carr, J. R. and Hibbard, M.: Open-ended mineralogical/textural rock classification, Comput. Geosci., 17, 1409–1463, 1991.
Congalton, R. G.: A review of assessing the accuracy of classifications of remotely sensed data, Remote Sens. Environ., 37, 35–46, 1991.
Croudace, I. W. and Rothwell, R. G.: Micro-XRF Studies of Sediment Cores: Applications of a non-destructive tool for the environmental sciences, Springer, 2015.
Deer, W., Howie, R., and Zussman, J.: An introduction to the rock-forming minerals, The Mineralogical Society, London, 2013.
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Short summary
This work describes a new approach to use fast X-ray fluorescence mapping as a tool for automated mineralogy applied on thin sections of plutonic rocks. Using a supervised classification of the spectral information, mineral maps are obtained for modal mineralogy and image analysis. The results are compared to a conventional method for automated mineralogy, which is scanning electron microscopy with mineral liberation analyzer, showing a good overall accuracy of 76 %.