CEmin : a MATLAB‐based software for computational phenocryst extraction and statistical petrology

It is nowadays common to collect large‐area backscattered electron images and X‐ray maps of entire standard petrographic thin sections. These images can be calibrated for compositions of some minerals (e.g., plagioclase) with a small number of electron microprobe analyses, and thus provide a wealth...

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Main Authors: Zeng, Ling, Cheng, Lilu, Costa, Fidel, Herrin, Jason
Other Authors: Asian School of the Environment
Format: Article
Language:English
Published: 2019
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Online Access:https://hdl.handle.net/10356/105968
http://hdl.handle.net/10220/48801
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1059682020-09-26T21:27:15Z CEmin : a MATLAB‐based software for computational phenocryst extraction and statistical petrology Zeng, Ling Cheng, Lilu Costa, Fidel Herrin, Jason Asian School of the Environment Facility for Analysis Characterisation Testing Simulation Earth Observatory of Singapore Plagioclase Software DRNTU::Engineering::Computer science and engineering It is nowadays common to collect large‐area backscattered electron images and X‐ray maps of entire standard petrographic thin sections. These images can be calibrated for compositions of some minerals (e.g., plagioclase) with a small number of electron microprobe analyses, and thus provide a wealth of quantitative data for hundreds of crystals. However, to effectively make use of the textures and compositions of large numbers of crystals we need to be able to efficiently outline and segregate the crystals of interest from the rest of the sample. Here we present CEmin, a set of MATLAB routines that are user‐friendly and allow users to semiautomatically separate plagioclase crystals in grayscale images of volcanic rocks for further processing. These data can then be used for textural and chemical zoning studies. Efficiently extracting large amounts of crystal data allows for identification of plagioclase populations that are indicative of magmatic processes (e.g., closed versus open system) and statistical comparison to thermodynamic models. NRF (Natl Research Foundation, S’pore) MOE (Min. of Education, S’pore) Published version 2019-06-18T06:32:21Z 2019-12-06T22:01:50Z 2019-06-18T06:32:21Z 2019-12-06T22:01:50Z 2018 Journal Article Zeng, L., Cheng, L., Costa, F., & Herrin, J. (2018). CEmin : a MATLAB‐based software for computational phenocryst extraction and statistical petrology. Geochemistry, Geophysics, Geosystems, 19(4), 1378-1392. doi:10.1002/2017GC007346 https://hdl.handle.net/10356/105968 http://hdl.handle.net/10220/48801 10.1002/2017GC007346 en Geochemistry, Geophysics, Geosystems © 2018 The Authors. This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made. 15 p. application/pdf
institution Nanyang Technological University
building NTU Library
country Singapore
collection DR-NTU
language English
topic Plagioclase
Software
DRNTU::Engineering::Computer science and engineering
spellingShingle Plagioclase
Software
DRNTU::Engineering::Computer science and engineering
Zeng, Ling
Cheng, Lilu
Costa, Fidel
Herrin, Jason
CEmin : a MATLAB‐based software for computational phenocryst extraction and statistical petrology
description It is nowadays common to collect large‐area backscattered electron images and X‐ray maps of entire standard petrographic thin sections. These images can be calibrated for compositions of some minerals (e.g., plagioclase) with a small number of electron microprobe analyses, and thus provide a wealth of quantitative data for hundreds of crystals. However, to effectively make use of the textures and compositions of large numbers of crystals we need to be able to efficiently outline and segregate the crystals of interest from the rest of the sample. Here we present CEmin, a set of MATLAB routines that are user‐friendly and allow users to semiautomatically separate plagioclase crystals in grayscale images of volcanic rocks for further processing. These data can then be used for textural and chemical zoning studies. Efficiently extracting large amounts of crystal data allows for identification of plagioclase populations that are indicative of magmatic processes (e.g., closed versus open system) and statistical comparison to thermodynamic models.
author2 Asian School of the Environment
author_facet Asian School of the Environment
Zeng, Ling
Cheng, Lilu
Costa, Fidel
Herrin, Jason
format Article
author Zeng, Ling
Cheng, Lilu
Costa, Fidel
Herrin, Jason
author_sort Zeng, Ling
title CEmin : a MATLAB‐based software for computational phenocryst extraction and statistical petrology
title_short CEmin : a MATLAB‐based software for computational phenocryst extraction and statistical petrology
title_full CEmin : a MATLAB‐based software for computational phenocryst extraction and statistical petrology
title_fullStr CEmin : a MATLAB‐based software for computational phenocryst extraction and statistical petrology
title_full_unstemmed CEmin : a MATLAB‐based software for computational phenocryst extraction and statistical petrology
title_sort cemin : a matlab‐based software for computational phenocryst extraction and statistical petrology
publishDate 2019
url https://hdl.handle.net/10356/105968
http://hdl.handle.net/10220/48801
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