Quantitative analysis of complex nanocomposites based on straight skeletonization

Autores
Tahoces, Pablo G.; Messina, Paula Verónica; Ruso, Juan Manuel
Año de publicación
2019
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Bones are complex nanocomposites composed mainly by hydroxyapatite nanocrystals. Different factors characterize its morphology: composition, length, orientation, roughness. To increase our understanding of the tissue morphology at this fundamental lever of organization, a new method based on the straight skelonization of the images obtained by electronic microscopy is proposed. The method detects and measures the length and angularity of any straight edge of over the image. The technique resolved several test patterns independent of size and angle of rotation. Several samples obtained from different substrates were analyzed with the method. The results were consistent with those values obtained from conventional methods. Although still limited as a laboratory application, shape analysis has the potential to provide insight into the mechanisms of crystal growing and may provide a basis for specifications or guidelines for the manufacturing of biomaterial for bone tissue engineering. Our proposed automated computational method for the analysis and quantification digital images of bone tissue at microscale provide a rapid and accurate of the mechanical properties of the tissue.
Fil: Tahoces, Pablo G.. Universidad de Santiago de Compostela; España
Fil: Messina, Paula Verónica. Universidad Nacional del Sur; Argentina
Fil: Ruso, Juan Manuel. Universidad de Santiago de Compostela; España
Materia
BIOCERAMICS
DIGITAL IMAGE ANALYSIS
HYDROXYAPATITE
NANOPARTICLES
SKELETONIZATION
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:11336/119275
Acceder
id CONICETDig_b7d63f0103dfd97749917fcfffeb4533
oai_identifier_str oai:ri.conicet.gov.ar:11336/119275
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Quantitative analysis of complex nanocomposites based on straight skeletonizationTahoces, Pablo G.Messina, Paula VerónicaRuso, Juan ManuelBIOCERAMICSDIGITAL IMAGE ANALYSISHYDROXYAPATITENANOPARTICLESSKELETONIZATIONhttps://purl.org/becyt/ford/1.4https://purl.org/becyt/ford/1Bones are complex nanocomposites composed mainly by hydroxyapatite nanocrystals. Different factors characterize its morphology: composition, length, orientation, roughness. To increase our understanding of the tissue morphology at this fundamental lever of organization, a new method based on the straight skelonization of the images obtained by electronic microscopy is proposed. The method detects and measures the length and angularity of any straight edge of over the image. The technique resolved several test patterns independent of size and angle of rotation. Several samples obtained from different substrates were analyzed with the method. The results were consistent with those values obtained from conventional methods. Although still limited as a laboratory application, shape analysis has the potential to provide insight into the mechanisms of crystal growing and may provide a basis for specifications or guidelines for the manufacturing of biomaterial for bone tissue engineering. Our proposed automated computational method for the analysis and quantification digital images of bone tissue at microscale provide a rapid and accurate of the mechanical properties of the tissue.Fil: Tahoces, Pablo G.. Universidad de Santiago de Compostela; EspañaFil: Messina, Paula Verónica. Universidad Nacional del Sur; ArgentinaFil: Ruso, Juan Manuel. Universidad de Santiago de Compostela; EspañaElsevier Science2019-02-05info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/119275Tahoces, Pablo G.; Messina, Paula Verónica; Ruso, Juan Manuel; Quantitative analysis of complex nanocomposites based on straight skeletonization; Elsevier Science; Colloids and Surfaces A: Physicochemical and Engineering Aspects; 562; 5-2-2019; 71-780927-7757CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1016/j.colsurfa.2018.11.027info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/abs/pii/S092777571830863Xinfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T10:01:04Zoai:ri.conicet.gov.ar:11336/119275instacron: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 10:01:04.911CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Quantitative analysis of complex nanocomposites based on straight skeletonization
title Quantitative analysis of complex nanocomposites based on straight skeletonization
spellingShingle Quantitative analysis of complex nanocomposites based on straight skeletonization
Tahoces, Pablo G.
BIOCERAMICS
DIGITAL IMAGE ANALYSIS
HYDROXYAPATITE
NANOPARTICLES
SKELETONIZATION
title_short Quantitative analysis of complex nanocomposites based on straight skeletonization
title_full Quantitative analysis of complex nanocomposites based on straight skeletonization
title_fullStr Quantitative analysis of complex nanocomposites based on straight skeletonization
title_full_unstemmed Quantitative analysis of complex nanocomposites based on straight skeletonization
title_sort Quantitative analysis of complex nanocomposites based on straight skeletonization
dc.creator.none.fl_str_mv Tahoces, Pablo G.
Messina, Paula Verónica
Ruso, Juan Manuel
author Tahoces, Pablo G.
author_facet Tahoces, Pablo G.
Messina, Paula Verónica
Ruso, Juan Manuel
author_role author
author2 Messina, Paula Verónica
Ruso, Juan Manuel
author2_role author
author
dc.subject.none.fl_str_mv BIOCERAMICS
DIGITAL IMAGE ANALYSIS
HYDROXYAPATITE
NANOPARTICLES
SKELETONIZATION
topic BIOCERAMICS
DIGITAL IMAGE ANALYSIS
HYDROXYAPATITE
NANOPARTICLES
SKELETONIZATION
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.4
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv Bones are complex nanocomposites composed mainly by hydroxyapatite nanocrystals. Different factors characterize its morphology: composition, length, orientation, roughness. To increase our understanding of the tissue morphology at this fundamental lever of organization, a new method based on the straight skelonization of the images obtained by electronic microscopy is proposed. The method detects and measures the length and angularity of any straight edge of over the image. The technique resolved several test patterns independent of size and angle of rotation. Several samples obtained from different substrates were analyzed with the method. The results were consistent with those values obtained from conventional methods. Although still limited as a laboratory application, shape analysis has the potential to provide insight into the mechanisms of crystal growing and may provide a basis for specifications or guidelines for the manufacturing of biomaterial for bone tissue engineering. Our proposed automated computational method for the analysis and quantification digital images of bone tissue at microscale provide a rapid and accurate of the mechanical properties of the tissue.
Fil: Tahoces, Pablo G.. Universidad de Santiago de Compostela; España
Fil: Messina, Paula Verónica. Universidad Nacional del Sur; Argentina
Fil: Ruso, Juan Manuel. Universidad de Santiago de Compostela; España
description Bones are complex nanocomposites composed mainly by hydroxyapatite nanocrystals. Different factors characterize its morphology: composition, length, orientation, roughness. To increase our understanding of the tissue morphology at this fundamental lever of organization, a new method based on the straight skelonization of the images obtained by electronic microscopy is proposed. The method detects and measures the length and angularity of any straight edge of over the image. The technique resolved several test patterns independent of size and angle of rotation. Several samples obtained from different substrates were analyzed with the method. The results were consistent with those values obtained from conventional methods. Although still limited as a laboratory application, shape analysis has the potential to provide insight into the mechanisms of crystal growing and may provide a basis for specifications or guidelines for the manufacturing of biomaterial for bone tissue engineering. Our proposed automated computational method for the analysis and quantification digital images of bone tissue at microscale provide a rapid and accurate of the mechanical properties of the tissue.
publishDate 2019
dc.date.none.fl_str_mv 2019-02-05
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/11336/119275
Tahoces, Pablo G.; Messina, Paula Verónica; Ruso, Juan Manuel; Quantitative analysis of complex nanocomposites based on straight skeletonization; Elsevier Science; Colloids and Surfaces A: Physicochemical and Engineering Aspects; 562; 5-2-2019; 71-78
0927-7757
CONICET Digital
CONICET
url http://hdl.handle.net/11336/119275
identifier_str_mv Tahoces, Pablo G.; Messina, Paula Verónica; Ruso, Juan Manuel; Quantitative analysis of complex nanocomposites based on straight skeletonization; Elsevier Science; Colloids and Surfaces A: Physicochemical and Engineering Aspects; 562; 5-2-2019; 71-78
0927-7757
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1016/j.colsurfa.2018.11.027
info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/abs/pii/S092777571830863X
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
dc.publisher.none.fl_str_mv Elsevier Science
publisher.none.fl_str_mv Elsevier Science
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
_version_ 1842269674677469184
score 13.13397

Publicaciones similares