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Nanoscale Automated Quantitative Mineralogy: A 200-nm Quantitative Mineralogy Assessment of Fault Gouge Using Mineralogic
Open AccessArticle

Automated Quantitative Mineralogy Applied to Metamorphic Rocks

1
Department of Petrology and Economic Geology, Geological Survey of Denmark and Greenland (GEUS), Øster Voldgade 10, DK-1350 Copenhagen K, Denmark
2
Carl Zeiss Microscopy GmbH, ZEISS Group, 50 Kaki Bukit Place, Singapore 415926, Singapore
*
Author to whom correspondence should be addressed.
Minerals 2020, 10(1), 47; https://doi.org/10.3390/min10010047
Received: 10 December 2019 / Revised: 27 December 2019 / Accepted: 30 December 2019 / Published: 3 January 2020
The ability to apply automated quantitative mineralogy (AQM) on metamorphic rocks was investigated on samples from the Fiskenæsset complex, Greenland. AQM provides the possibility to visualize and quantify microstructures, minerals, as well as the morphology and chemistry of the investigated samples. Here, we applied the ZEISS Mineralogic software platform as an AQM tool, which has integrated matrix corrections and full quantification of energy dispersive spectrometry data, and therefore is able to give detailed chemical information on each pixel in the AQM mineral maps. This has been applied to create mineral maps, element concentration maps, element ratio maps, mineral association maps, as well as to morphochemically classify individual minerals for their grain shape, size, and orientation. The visualization of metamorphic textures, while at the same time quantifying their textures, is the great strength of AQM and is an ideal tool to lift microscopy from the qualitative to the quantitative level. View Full-Text
Keywords: automated quantitative mineralogy (AQM); scanning electron microscopy; ZEISS Mineralogic; Fiskenæsset complex; Feret angle; element concentration map; visualization; mineral association; bulk composition; grain size automated quantitative mineralogy (AQM); scanning electron microscopy; ZEISS Mineralogic; Fiskenæsset complex; Feret angle; element concentration map; visualization; mineral association; bulk composition; grain size
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MDPI and ACS Style

Keulen, N.; Malkki, S.N.; Graham, S. Automated Quantitative Mineralogy Applied to Metamorphic Rocks. Minerals 2020, 10, 47.

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