A novel set of algorithms to recognize galleries of ambrosia beetle in computerized axial tomography of trees trunks
- Autores
- Dolinko, Andrés Ezequiel; Costales, Yasmil; Carmaran, Cecilia Cristina; Ceriani Nakamurakare, Esteban Daniel
- Año de publicación
- 2022
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- Megaplatypus mutatus is an ambrosia beetle that attacks several species of trees by making galleries in the trunks where its larvae and associated fungi develop. This damage spoils the wood for commercial use and cause stem breakage in front of strong winds. Due to the insect´s cryptic lifestyle, gallery analyses have usually been studied by destructive methods. However, they alter the homeostasis of the insect-fungi interaction, modifies the topology of the gallery and, more importantly, does not reveal the 100% complex structure made by the insect. Therefore, a novel way to study this structure is by imaging the galleries by means of computerized axial tomography (CT). This method allows obtaining a three-dimensional representation of the gallery and the pupal chambers to be studied, while the wood and insect sample is not disturbed and generates a high amount of data. The isolation of the galleries and pupal chambers from the CT background images is not simple, because there is not enough contrast between the grey levels of the galleries and the marks generated by internal components of the trunk itself. In this paper, we present a robust algorithm that allows automating the isolation of the galleries and pupal chambers from CT trunk images which can be used in a broad spectrum of image analysis.
Fil: Dolinko, Andrés Ezequiel. Universidad de Buenos Aires. Facultad de Cs.exactas y Naturales. Departamento de Biodiversidad y Biología Experimental. Laboratorio de Micologia; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Micología y Botánica. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Micología y Botánica; Argentina
Fil: Costales, Yasmil. Universidad Favaloro; Argentina
Fil: Carmaran, Cecilia Cristina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Micología y Botánica. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Micología y Botánica; Argentina. Universidad de Buenos Aires. Facultad de Cs.exactas y Naturales. Departamento de Biodiversidad y Biología Experimental. Laboratorio de Micologia; Argentina
Fil: Ceriani Nakamurakare, Esteban Daniel. Universidad de Buenos Aires. Facultad de Cs.exactas y Naturales. Departamento de Biodiversidad y Biología Experimental. Laboratorio de Micologia; Argentina. Universidad Nacional de Luján. Departamento de Tecnología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina - Materia
-
Tomography
Image recognition
Image processing
Ambrosia beetle - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- https://creativecommons.org/publicdomain/zero/1.0/
- Repositorio
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/215835
Ver los metadatos del registro completo
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A novel set of algorithms to recognize galleries of ambrosia beetle in computerized axial tomography of trees trunksDolinko, Andrés EzequielCostales, YasmilCarmaran, Cecilia CristinaCeriani Nakamurakare, Esteban DanielTomographyImage recognitionImage processingAmbrosia beetlehttps://purl.org/becyt/ford/1.2https://purl.org/becyt/ford/1Megaplatypus mutatus is an ambrosia beetle that attacks several species of trees by making galleries in the trunks where its larvae and associated fungi develop. This damage spoils the wood for commercial use and cause stem breakage in front of strong winds. Due to the insect´s cryptic lifestyle, gallery analyses have usually been studied by destructive methods. However, they alter the homeostasis of the insect-fungi interaction, modifies the topology of the gallery and, more importantly, does not reveal the 100% complex structure made by the insect. Therefore, a novel way to study this structure is by imaging the galleries by means of computerized axial tomography (CT). This method allows obtaining a three-dimensional representation of the gallery and the pupal chambers to be studied, while the wood and insect sample is not disturbed and generates a high amount of data. The isolation of the galleries and pupal chambers from the CT background images is not simple, because there is not enough contrast between the grey levels of the galleries and the marks generated by internal components of the trunk itself. In this paper, we present a robust algorithm that allows automating the isolation of the galleries and pupal chambers from CT trunk images which can be used in a broad spectrum of image analysis.Fil: Dolinko, Andrés Ezequiel. Universidad de Buenos Aires. Facultad de Cs.exactas y Naturales. Departamento de Biodiversidad y Biología Experimental. Laboratorio de Micologia; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Micología y Botánica. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Micología y Botánica; ArgentinaFil: Costales, Yasmil. Universidad Favaloro; ArgentinaFil: Carmaran, Cecilia Cristina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Micología y Botánica. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Micología y Botánica; Argentina. Universidad de Buenos Aires. Facultad de Cs.exactas y Naturales. Departamento de Biodiversidad y Biología Experimental. Laboratorio de Micologia; ArgentinaFil: Ceriani Nakamurakare, Esteban Daniel. Universidad de Buenos Aires. Facultad de Cs.exactas y Naturales. Departamento de Biodiversidad y Biología Experimental. Laboratorio de Micologia; Argentina. Universidad Nacional de Luján. Departamento de Tecnología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaCornell University2022-06info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/215835Dolinko, Andrés Ezequiel; Costales, Yasmil; Carmaran, Cecilia Cristina; Ceriani Nakamurakare, Esteban Daniel; A novel set of algorithms to recognize galleries of ambrosia beetle in computerized axial tomography of trees trunks; Cornell University; Arxiv; 2206; 748; 6-2022; 1-142331-8422CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/arxiv/https://arxiv.org/abs/2206.12748info:eu-repo/semantics/altIdentifier/doi/10.48550/arXiv.2206.12748info:eu-repo/semantics/openAccesshttps://creativecommons.org/publicdomain/zero/1.0/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T10:11:39Zoai:ri.conicet.gov.ar:11336/215835instacron: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:34982025-09-03 10:11:40.166CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
dc.title.none.fl_str_mv |
A novel set of algorithms to recognize galleries of ambrosia beetle in computerized axial tomography of trees trunks |
title |
A novel set of algorithms to recognize galleries of ambrosia beetle in computerized axial tomography of trees trunks |
spellingShingle |
A novel set of algorithms to recognize galleries of ambrosia beetle in computerized axial tomography of trees trunks Dolinko, Andrés Ezequiel Tomography Image recognition Image processing Ambrosia beetle |
title_short |
A novel set of algorithms to recognize galleries of ambrosia beetle in computerized axial tomography of trees trunks |
title_full |
A novel set of algorithms to recognize galleries of ambrosia beetle in computerized axial tomography of trees trunks |
title_fullStr |
A novel set of algorithms to recognize galleries of ambrosia beetle in computerized axial tomography of trees trunks |
title_full_unstemmed |
A novel set of algorithms to recognize galleries of ambrosia beetle in computerized axial tomography of trees trunks |
title_sort |
A novel set of algorithms to recognize galleries of ambrosia beetle in computerized axial tomography of trees trunks |
dc.creator.none.fl_str_mv |
Dolinko, Andrés Ezequiel Costales, Yasmil Carmaran, Cecilia Cristina Ceriani Nakamurakare, Esteban Daniel |
author |
Dolinko, Andrés Ezequiel |
author_facet |
Dolinko, Andrés Ezequiel Costales, Yasmil Carmaran, Cecilia Cristina Ceriani Nakamurakare, Esteban Daniel |
author_role |
author |
author2 |
Costales, Yasmil Carmaran, Cecilia Cristina Ceriani Nakamurakare, Esteban Daniel |
author2_role |
author author author |
dc.subject.none.fl_str_mv |
Tomography Image recognition Image processing Ambrosia beetle |
topic |
Tomography Image recognition Image processing Ambrosia beetle |
purl_subject.fl_str_mv |
https://purl.org/becyt/ford/1.2 https://purl.org/becyt/ford/1 |
dc.description.none.fl_txt_mv |
Megaplatypus mutatus is an ambrosia beetle that attacks several species of trees by making galleries in the trunks where its larvae and associated fungi develop. This damage spoils the wood for commercial use and cause stem breakage in front of strong winds. Due to the insect´s cryptic lifestyle, gallery analyses have usually been studied by destructive methods. However, they alter the homeostasis of the insect-fungi interaction, modifies the topology of the gallery and, more importantly, does not reveal the 100% complex structure made by the insect. Therefore, a novel way to study this structure is by imaging the galleries by means of computerized axial tomography (CT). This method allows obtaining a three-dimensional representation of the gallery and the pupal chambers to be studied, while the wood and insect sample is not disturbed and generates a high amount of data. The isolation of the galleries and pupal chambers from the CT background images is not simple, because there is not enough contrast between the grey levels of the galleries and the marks generated by internal components of the trunk itself. In this paper, we present a robust algorithm that allows automating the isolation of the galleries and pupal chambers from CT trunk images which can be used in a broad spectrum of image analysis. Fil: Dolinko, Andrés Ezequiel. Universidad de Buenos Aires. Facultad de Cs.exactas y Naturales. Departamento de Biodiversidad y Biología Experimental. Laboratorio de Micologia; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Micología y Botánica. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Micología y Botánica; Argentina Fil: Costales, Yasmil. Universidad Favaloro; Argentina Fil: Carmaran, Cecilia Cristina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Micología y Botánica. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Micología y Botánica; Argentina. Universidad de Buenos Aires. Facultad de Cs.exactas y Naturales. Departamento de Biodiversidad y Biología Experimental. Laboratorio de Micologia; Argentina Fil: Ceriani Nakamurakare, Esteban Daniel. Universidad de Buenos Aires. Facultad de Cs.exactas y Naturales. Departamento de Biodiversidad y Biología Experimental. Laboratorio de Micologia; Argentina. Universidad Nacional de Luján. Departamento de Tecnología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina |
description |
Megaplatypus mutatus is an ambrosia beetle that attacks several species of trees by making galleries in the trunks where its larvae and associated fungi develop. This damage spoils the wood for commercial use and cause stem breakage in front of strong winds. Due to the insect´s cryptic lifestyle, gallery analyses have usually been studied by destructive methods. However, they alter the homeostasis of the insect-fungi interaction, modifies the topology of the gallery and, more importantly, does not reveal the 100% complex structure made by the insect. Therefore, a novel way to study this structure is by imaging the galleries by means of computerized axial tomography (CT). This method allows obtaining a three-dimensional representation of the gallery and the pupal chambers to be studied, while the wood and insect sample is not disturbed and generates a high amount of data. The isolation of the galleries and pupal chambers from the CT background images is not simple, because there is not enough contrast between the grey levels of the galleries and the marks generated by internal components of the trunk itself. In this paper, we present a robust algorithm that allows automating the isolation of the galleries and pupal chambers from CT trunk images which can be used in a broad spectrum of image analysis. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-06 |
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/11336/215835 Dolinko, Andrés Ezequiel; Costales, Yasmil; Carmaran, Cecilia Cristina; Ceriani Nakamurakare, Esteban Daniel; A novel set of algorithms to recognize galleries of ambrosia beetle in computerized axial tomography of trees trunks; Cornell University; Arxiv; 2206; 748; 6-2022; 1-14 2331-8422 CONICET Digital CONICET |
url |
http://hdl.handle.net/11336/215835 |
identifier_str_mv |
Dolinko, Andrés Ezequiel; Costales, Yasmil; Carmaran, Cecilia Cristina; Ceriani Nakamurakare, Esteban Daniel; A novel set of algorithms to recognize galleries of ambrosia beetle in computerized axial tomography of trees trunks; Cornell University; Arxiv; 2206; 748; 6-2022; 1-14 2331-8422 CONICET Digital CONICET |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
info:eu-repo/semantics/altIdentifier/arxiv/https://arxiv.org/abs/2206.12748 info:eu-repo/semantics/altIdentifier/doi/10.48550/arXiv.2206.12748 |
dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess https://creativecommons.org/publicdomain/zero/1.0/ |
eu_rights_str_mv |
openAccess |
rights_invalid_str_mv |
https://creativecommons.org/publicdomain/zero/1.0/ |
dc.format.none.fl_str_mv |
application/pdf application/pdf |
dc.publisher.none.fl_str_mv |
Cornell University |
publisher.none.fl_str_mv |
Cornell University |
dc.source.none.fl_str_mv |
reponame:CONICET Digital (CONICET) instname:Consejo Nacional de Investigaciones Científicas y Técnicas |
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CONICET Digital (CONICET) |
collection |
CONICET Digital (CONICET) |
instname_str |
Consejo Nacional de Investigaciones Científicas y Técnicas |
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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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1842270167071981568 |
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13.13397 |