Automated Quantitative Mineralogy Applied to Metamorphic Rocks
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...
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MDPI AG
2020
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ftdoajarticles:oai:doaj.org/article:2b95f303377a4d21b4847c94b1652c73 2024-10-13T14:07:21+00:00 Automated Quantitative Mineralogy Applied to Metamorphic Rocks Nynke Keulen Sebastian Næsby Malkki Shaun Graham 2020-01-01T00:00:00Z https://doi.org/10.3390/min10010047 https://doaj.org/article/2b95f303377a4d21b4847c94b1652c73 EN eng MDPI AG https://www.mdpi.com/2075-163X/10/1/47 https://doaj.org/toc/2075-163X doi:10.3390/min10010047 https://doaj.org/article/2b95f303377a4d21b4847c94b1652c73 Minerals, Vol 10, Iss 1, p 47 (2020) automated quantitative mineralogy (aqm) scanning electron microscopy zeiss mineralogic fiskenæsset complex feret angle element concentration map visualization mineral association bulk composition grain size Mineralogy QE351-399.2 article 2020 ftdoajarticles https://doi.org/10.3390/min10010047 2024-09-25T15:39:10Z 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. Article in Journal/Newspaper Fiskenæsset Greenland Directory of Open Access Journals: DOAJ Articles Greenland Minerals 10 1 47 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
automated quantitative mineralogy (aqm) scanning electron microscopy zeiss mineralogic fiskenæsset complex feret angle element concentration map visualization mineral association bulk composition grain size Mineralogy QE351-399.2 |
spellingShingle |
automated quantitative mineralogy (aqm) scanning electron microscopy zeiss mineralogic fiskenæsset complex feret angle element concentration map visualization mineral association bulk composition grain size Mineralogy QE351-399.2 Nynke Keulen Sebastian Næsby Malkki Shaun Graham Automated Quantitative Mineralogy Applied to Metamorphic Rocks |
topic_facet |
automated quantitative mineralogy (aqm) scanning electron microscopy zeiss mineralogic fiskenæsset complex feret angle element concentration map visualization mineral association bulk composition grain size Mineralogy QE351-399.2 |
description |
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. |
format |
Article in Journal/Newspaper |
author |
Nynke Keulen Sebastian Næsby Malkki Shaun Graham |
author_facet |
Nynke Keulen Sebastian Næsby Malkki Shaun Graham |
author_sort |
Nynke Keulen |
title |
Automated Quantitative Mineralogy Applied to Metamorphic Rocks |
title_short |
Automated Quantitative Mineralogy Applied to Metamorphic Rocks |
title_full |
Automated Quantitative Mineralogy Applied to Metamorphic Rocks |
title_fullStr |
Automated Quantitative Mineralogy Applied to Metamorphic Rocks |
title_full_unstemmed |
Automated Quantitative Mineralogy Applied to Metamorphic Rocks |
title_sort |
automated quantitative mineralogy applied to metamorphic rocks |
publisher |
MDPI AG |
publishDate |
2020 |
url |
https://doi.org/10.3390/min10010047 https://doaj.org/article/2b95f303377a4d21b4847c94b1652c73 |
geographic |
Greenland |
geographic_facet |
Greenland |
genre |
Fiskenæsset Greenland |
genre_facet |
Fiskenæsset Greenland |
op_source |
Minerals, Vol 10, Iss 1, p 47 (2020) |
op_relation |
https://www.mdpi.com/2075-163X/10/1/47 https://doaj.org/toc/2075-163X doi:10.3390/min10010047 https://doaj.org/article/2b95f303377a4d21b4847c94b1652c73 |
op_doi |
https://doi.org/10.3390/min10010047 |
container_title |
Minerals |
container_volume |
10 |
container_issue |
1 |
container_start_page |
47 |
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1812813601413529600 |