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...
| Main Authors: | , , , |
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| Other Authors: | |
| Format: | Journal Article |
| Language: | English |
| Published: |
2019
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| Online Access: | https://hdl.handle.net/10356/105968 http://hdl.handle.net/10220/48801 |
| _version_ | 1811681392145203200 |
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| author | Zeng, Ling Cheng, Lilu Costa, Fidel Herrin, Jason |
| author2 | Asian School of the Environment |
| author_facet | Asian School of the Environment Zeng, Ling Cheng, Lilu Costa, Fidel Herrin, Jason |
| author_sort | Zeng, Ling |
| collection | NTU |
| 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. |
| first_indexed | 2024-10-01T03:40:13Z |
| format | Journal Article |
| id | ntu-10356/105968 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T03:40:13Z |
| publishDate | 2019 |
| record_format | dspace |
| spelling | ntu-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 |
| 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 |
| title | 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_short | 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 |
| topic | Plagioclase Software DRNTU::Engineering::Computer science and engineering |
| url | https://hdl.handle.net/10356/105968 http://hdl.handle.net/10220/48801 |
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