A software solution for point counting. Petrographic thin section analysis as a case study

Autores
Larrea, Martin Leonardo; Castro, Silvia Mabel; Bjerg, Ernesto Alfredo
Año de publicación
2014
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
In the field of geology, as in many other fields, a common problem is the analysis of 2D sections. An example of this is the petrographic study of rock samples, i.e., the quantification of its mineral components and the percentages of each phase present in it. Conventionally, this quantification has been determined by point counting performed on thin sections. Although point counting is very time consuming, it is of common use in several domains including geology, biology, medicine, and materials sciences, among others. Point counting in thin sections is normally conducted through mechanical or electromechanical devices attached to a microscope; such devices are very expensive, offer limited functionality, and are very time consuming. In this contribution, we introduce an interactive visualization application called Rock.AR that reduces the amount of time required to apply this technique and simplify its work flow. It provides visual tools like distortion techniques, overview + detail, and statistics to assist the technique. A comparison between this application and similar tools through users´ experiences is provided. We compare the time it takes to complete a session of point counting and the tools´ usability.
Fil: Larrea, Martin Leonardo. Universidad Nacional del Sur. Departamento de Ciencias e Ingeniería de la Computación; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Castro, Silvia Mabel. Universidad Nacional del Sur. Departamento de Ciencias e Ingeniería de la Computación; Argentina
Fil: Bjerg, Ernesto Alfredo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto Geológico del Sur. Universidad Nacional del Sur. Departamento de Geología. Instituto Geológico del Sur; Argentina
Materia
Point Counting
Petrographic Thin Sections
Image Analysis
Visualization
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/32223

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spelling A software solution for point counting. Petrographic thin section analysis as a case studyLarrea, Martin LeonardoCastro, Silvia MabelBjerg, Ernesto AlfredoPoint CountingPetrographic Thin SectionsImage AnalysisVisualizationhttps://purl.org/becyt/ford/1.2https://purl.org/becyt/ford/1In the field of geology, as in many other fields, a common problem is the analysis of 2D sections. An example of this is the petrographic study of rock samples, i.e., the quantification of its mineral components and the percentages of each phase present in it. Conventionally, this quantification has been determined by point counting performed on thin sections. Although point counting is very time consuming, it is of common use in several domains including geology, biology, medicine, and materials sciences, among others. Point counting in thin sections is normally conducted through mechanical or electromechanical devices attached to a microscope; such devices are very expensive, offer limited functionality, and are very time consuming. In this contribution, we introduce an interactive visualization application called Rock.AR that reduces the amount of time required to apply this technique and simplify its work flow. It provides visual tools like distortion techniques, overview + detail, and statistics to assist the technique. A comparison between this application and similar tools through users´ experiences is provided. We compare the time it takes to complete a session of point counting and the tools´ usability.Fil: Larrea, Martin Leonardo. Universidad Nacional del Sur. Departamento de Ciencias e Ingeniería de la Computación; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Castro, Silvia Mabel. Universidad Nacional del Sur. Departamento de Ciencias e Ingeniería de la Computación; ArgentinaFil: Bjerg, Ernesto Alfredo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto Geológico del Sur. Universidad Nacional del Sur. Departamento de Geología. Instituto Geológico del Sur; ArgentinaSpringer Heidelberg2014-08info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/32223Bjerg, Ernesto Alfredo; Castro, Silvia Mabel; Larrea, Martin Leonardo; A software solution for point counting. Petrographic thin section analysis as a case study; Springer Heidelberg; Arabian Journal of Geosciences; 7; 8; 8-2014; 2981-29891866-7511CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://link.springer.com/article/10.1007/s12517-013-1032-0info:eu-repo/semantics/altIdentifier/doi/10.1007/s12517-013-1032-0info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-15T15:25:22Zoai:ri.conicet.gov.ar:11336/32223instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-10-15 15:25:22.47CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv A software solution for point counting. Petrographic thin section analysis as a case study
title A software solution for point counting. Petrographic thin section analysis as a case study
spellingShingle A software solution for point counting. Petrographic thin section analysis as a case study
Larrea, Martin Leonardo
Point Counting
Petrographic Thin Sections
Image Analysis
Visualization
title_short A software solution for point counting. Petrographic thin section analysis as a case study
title_full A software solution for point counting. Petrographic thin section analysis as a case study
title_fullStr A software solution for point counting. Petrographic thin section analysis as a case study
title_full_unstemmed A software solution for point counting. Petrographic thin section analysis as a case study
title_sort A software solution for point counting. Petrographic thin section analysis as a case study
dc.creator.none.fl_str_mv Larrea, Martin Leonardo
Castro, Silvia Mabel
Bjerg, Ernesto Alfredo
author Larrea, Martin Leonardo
author_facet Larrea, Martin Leonardo
Castro, Silvia Mabel
Bjerg, Ernesto Alfredo
author_role author
author2 Castro, Silvia Mabel
Bjerg, Ernesto Alfredo
author2_role author
author
dc.subject.none.fl_str_mv Point Counting
Petrographic Thin Sections
Image Analysis
Visualization
topic Point Counting
Petrographic Thin Sections
Image Analysis
Visualization
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.2
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv In the field of geology, as in many other fields, a common problem is the analysis of 2D sections. An example of this is the petrographic study of rock samples, i.e., the quantification of its mineral components and the percentages of each phase present in it. Conventionally, this quantification has been determined by point counting performed on thin sections. Although point counting is very time consuming, it is of common use in several domains including geology, biology, medicine, and materials sciences, among others. Point counting in thin sections is normally conducted through mechanical or electromechanical devices attached to a microscope; such devices are very expensive, offer limited functionality, and are very time consuming. In this contribution, we introduce an interactive visualization application called Rock.AR that reduces the amount of time required to apply this technique and simplify its work flow. It provides visual tools like distortion techniques, overview + detail, and statistics to assist the technique. A comparison between this application and similar tools through users´ experiences is provided. We compare the time it takes to complete a session of point counting and the tools´ usability.
Fil: Larrea, Martin Leonardo. Universidad Nacional del Sur. Departamento de Ciencias e Ingeniería de la Computación; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Castro, Silvia Mabel. Universidad Nacional del Sur. Departamento de Ciencias e Ingeniería de la Computación; Argentina
Fil: Bjerg, Ernesto Alfredo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto Geológico del Sur. Universidad Nacional del Sur. Departamento de Geología. Instituto Geológico del Sur; Argentina
description In the field of geology, as in many other fields, a common problem is the analysis of 2D sections. An example of this is the petrographic study of rock samples, i.e., the quantification of its mineral components and the percentages of each phase present in it. Conventionally, this quantification has been determined by point counting performed on thin sections. Although point counting is very time consuming, it is of common use in several domains including geology, biology, medicine, and materials sciences, among others. Point counting in thin sections is normally conducted through mechanical or electromechanical devices attached to a microscope; such devices are very expensive, offer limited functionality, and are very time consuming. In this contribution, we introduce an interactive visualization application called Rock.AR that reduces the amount of time required to apply this technique and simplify its work flow. It provides visual tools like distortion techniques, overview + detail, and statistics to assist the technique. A comparison between this application and similar tools through users´ experiences is provided. We compare the time it takes to complete a session of point counting and the tools´ usability.
publishDate 2014
dc.date.none.fl_str_mv 2014-08
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/32223
Bjerg, Ernesto Alfredo; Castro, Silvia Mabel; Larrea, Martin Leonardo; A software solution for point counting. Petrographic thin section analysis as a case study; Springer Heidelberg; Arabian Journal of Geosciences; 7; 8; 8-2014; 2981-2989
1866-7511
CONICET Digital
CONICET
url http://hdl.handle.net/11336/32223
identifier_str_mv Bjerg, Ernesto Alfredo; Castro, Silvia Mabel; Larrea, Martin Leonardo; A software solution for point counting. Petrographic thin section analysis as a case study; Springer Heidelberg; Arabian Journal of Geosciences; 7; 8; 8-2014; 2981-2989
1866-7511
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://link.springer.com/article/10.1007/s12517-013-1032-0
info:eu-repo/semantics/altIdentifier/doi/10.1007/s12517-013-1032-0
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv Springer Heidelberg
publisher.none.fl_str_mv Springer Heidelberg
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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