Epithelial Ovarian Cancer Diagnosis of SecondHarmonic Generation Images: A Semiautomatic Collagen Fibers Quantification Protocol

Autores
Zeitoune, Angel Alberto; Luna, Johana S. J.; Sanchez Salas, Kynthia; Erbes, Luciana Ariadna; Cesar, Carlos L.; Andrade, Liliana A. L. A.; Carvahlo, Hernades F.; Bottcher Luiz, Fátima; Casco, Victor Hugo; Adur, Javier Fernando
Año de publicación
2017
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
A vast number of human pathologic conditions are directly or indirectly related to tissular collagen structure remodeling. The nonlinear optical microscopy second-harmonic generation has become a powerful tool for imaging biological tissues with anisotropic hyperpolarized structures, such as collagen. During the past years, several quantification methods to analyze and evaluate these images have been developed. However, automated or semiautomated solutions are necessary to ensure objectivity and reproducibility of such analysis. This work describes automation and improvement methods for calculating the anisotropy (using fast Fourier transform analysis and the gray-level co-occurrence matrix). These were applied to analyze biopsy samples of human ovarian epithelial cancer at different stages of malignancy (mucinous, serous, mixed, and endometrial subtypes). The semiautomation procedure enabled us to design a diagnostic protocol that recognizes between healthy and pathologic tissues, as well as between different tumor types.
Fil: Zeitoune, Angel Alberto. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro de Investigaciones y Transferencia de Entre Ríos. Universidad Nacional de Entre Ríos. Centro de Investigaciones y Transferencia de Entre Ríos; Argentina
Fil: Luna, Johana S. J.. Universidad Nacional de Entre Ríos. Facultad de Ingeniería; Argentina
Fil: Sanchez Salas, Kynthia. Universidad Nacional de Entre Ríos. Facultad de Ingeniería; Argentina
Fil: Erbes, Luciana Ariadna. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro de Investigaciones y Transferencia de Entre Ríos. Universidad Nacional de Entre Ríos. Centro de Investigaciones y Transferencia de Entre Ríos; Argentina
Fil: Cesar, Carlos L.. Universidade Federal do Ceará; Brasil. National Institute of Science and Technology on Photonics Applied to Cell Biology; Brasil
Fil: Andrade, Liliana A. L. A.. Universidade Estadual de Campinas; Brasil
Fil: Carvahlo, Hernades F.. Universidade Estadual de Campinas; Brasil. National Institute of Science and Technology on Photonics Applied to Cell Biology; Brasil
Fil: Bottcher Luiz, Fátima. Universidade Estadual de Campinas; Brasil. National Institute of Science and Technology on Photonics Applied to Cell Biology; Brasil
Fil: Casco, Victor Hugo. Universidad Nacional de Entre Ríos. Facultad de Ingeniería; Argentina
Fil: Adur, Javier Fernando. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro de Investigaciones y Transferencia de Entre Ríos. Universidad Nacional de Entre Ríos. Centro de Investigaciones y Transferencia de Entre Ríos; Argentina. Universidad Nacional de Entre Ríos. Facultad de Ingeniería; Argentina
Materia
FFT
GLCM
SHG MICROSCOPY
HUMAN CANCER OVARY
DIAGNOSTIC PROTOCOL
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/42377
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/42377
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Epithelial Ovarian Cancer Diagnosis of SecondHarmonic Generation Images: A Semiautomatic Collagen Fibers Quantification ProtocolZeitoune, Angel AlbertoLuna, Johana S. J.Sanchez Salas, KynthiaErbes, Luciana AriadnaCesar, Carlos L.Andrade, Liliana A. L. A.Carvahlo, Hernades F.Bottcher Luiz, FátimaCasco, Victor HugoAdur, Javier FernandoFFTGLCMSHG MICROSCOPYHUMAN CANCER OVARYDIAGNOSTIC PROTOCOLhttps://purl.org/becyt/ford/1.6https://purl.org/becyt/ford/1A vast number of human pathologic conditions are directly or indirectly related to tissular collagen structure remodeling. The nonlinear optical microscopy second-harmonic generation has become a powerful tool for imaging biological tissues with anisotropic hyperpolarized structures, such as collagen. During the past years, several quantification methods to analyze and evaluate these images have been developed. However, automated or semiautomated solutions are necessary to ensure objectivity and reproducibility of such analysis. This work describes automation and improvement methods for calculating the anisotropy (using fast Fourier transform analysis and the gray-level co-occurrence matrix). These were applied to analyze biopsy samples of human ovarian epithelial cancer at different stages of malignancy (mucinous, serous, mixed, and endometrial subtypes). The semiautomation procedure enabled us to design a diagnostic protocol that recognizes between healthy and pathologic tissues, as well as between different tumor types.Fil: Zeitoune, Angel Alberto. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro de Investigaciones y Transferencia de Entre Ríos. Universidad Nacional de Entre Ríos. Centro de Investigaciones y Transferencia de Entre Ríos; ArgentinaFil: Luna, Johana S. J.. Universidad Nacional de Entre Ríos. Facultad de Ingeniería; ArgentinaFil: Sanchez Salas, Kynthia. Universidad Nacional de Entre Ríos. Facultad de Ingeniería; ArgentinaFil: Erbes, Luciana Ariadna. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro de Investigaciones y Transferencia de Entre Ríos. Universidad Nacional de Entre Ríos. Centro de Investigaciones y Transferencia de Entre Ríos; ArgentinaFil: Cesar, Carlos L.. Universidade Federal do Ceará; Brasil. National Institute of Science and Technology on Photonics Applied to Cell Biology; BrasilFil: Andrade, Liliana A. L. A.. Universidade Estadual de Campinas; BrasilFil: Carvahlo, Hernades F.. Universidade Estadual de Campinas; Brasil. National Institute of Science and Technology on Photonics Applied to Cell Biology; BrasilFil: Bottcher Luiz, Fátima. Universidade Estadual de Campinas; Brasil. National Institute of Science and Technology on Photonics Applied to Cell Biology; BrasilFil: Casco, Victor Hugo. Universidad Nacional de Entre Ríos. Facultad de Ingeniería; ArgentinaFil: Adur, Javier Fernando. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro de Investigaciones y Transferencia de Entre Ríos. Universidad Nacional de Entre Ríos. Centro de Investigaciones y Transferencia de Entre Ríos; Argentina. Universidad Nacional de Entre Ríos. Facultad de Ingeniería; ArgentinaSAGE Publications2017-02info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/42377Zeitoune, Angel Alberto; Luna, Johana S. J.; Sanchez Salas, Kynthia; Erbes, Luciana Ariadna; Cesar, Carlos L.; et al.; Epithelial Ovarian Cancer Diagnosis of SecondHarmonic Generation Images: A Semiautomatic Collagen Fibers Quantification Protocol; SAGE Publications; Cancer Informatics; 16; 2-2017; 1-121176-93511176-9351CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1177/1176935117690162info:eu-repo/semantics/altIdentifier/url/http://journals.sagepub.com/doi/10.1177/1176935117690162info:eu-repo/semantics/altIdentifier/url/https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5392028/info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T10:00:40Zoai:ri.conicet.gov.ar:11336/42377instacron: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 10:00:40.926CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Epithelial Ovarian Cancer Diagnosis of SecondHarmonic Generation Images: A Semiautomatic Collagen Fibers Quantification Protocol
title Epithelial Ovarian Cancer Diagnosis of SecondHarmonic Generation Images: A Semiautomatic Collagen Fibers Quantification Protocol
spellingShingle Epithelial Ovarian Cancer Diagnosis of SecondHarmonic Generation Images: A Semiautomatic Collagen Fibers Quantification Protocol
Zeitoune, Angel Alberto
FFT
GLCM
SHG MICROSCOPY
HUMAN CANCER OVARY
DIAGNOSTIC PROTOCOL
title_short Epithelial Ovarian Cancer Diagnosis of SecondHarmonic Generation Images: A Semiautomatic Collagen Fibers Quantification Protocol
title_full Epithelial Ovarian Cancer Diagnosis of SecondHarmonic Generation Images: A Semiautomatic Collagen Fibers Quantification Protocol
title_fullStr Epithelial Ovarian Cancer Diagnosis of SecondHarmonic Generation Images: A Semiautomatic Collagen Fibers Quantification Protocol
title_full_unstemmed Epithelial Ovarian Cancer Diagnosis of SecondHarmonic Generation Images: A Semiautomatic Collagen Fibers Quantification Protocol
title_sort Epithelial Ovarian Cancer Diagnosis of SecondHarmonic Generation Images: A Semiautomatic Collagen Fibers Quantification Protocol
dc.creator.none.fl_str_mv Zeitoune, Angel Alberto
Luna, Johana S. J.
Sanchez Salas, Kynthia
Erbes, Luciana Ariadna
Cesar, Carlos L.
Andrade, Liliana A. L. A.
Carvahlo, Hernades F.
Bottcher Luiz, Fátima
Casco, Victor Hugo
Adur, Javier Fernando
author Zeitoune, Angel Alberto
author_facet Zeitoune, Angel Alberto
Luna, Johana S. J.
Sanchez Salas, Kynthia
Erbes, Luciana Ariadna
Cesar, Carlos L.
Andrade, Liliana A. L. A.
Carvahlo, Hernades F.
Bottcher Luiz, Fátima
Casco, Victor Hugo
Adur, Javier Fernando
author_role author
author2 Luna, Johana S. J.
Sanchez Salas, Kynthia
Erbes, Luciana Ariadna
Cesar, Carlos L.
Andrade, Liliana A. L. A.
Carvahlo, Hernades F.
Bottcher Luiz, Fátima
Casco, Victor Hugo
Adur, Javier Fernando
author2_role author
author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv FFT
GLCM
SHG MICROSCOPY
HUMAN CANCER OVARY
DIAGNOSTIC PROTOCOL
topic FFT
GLCM
SHG MICROSCOPY
HUMAN CANCER OVARY
DIAGNOSTIC PROTOCOL
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.6
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv A vast number of human pathologic conditions are directly or indirectly related to tissular collagen structure remodeling. The nonlinear optical microscopy second-harmonic generation has become a powerful tool for imaging biological tissues with anisotropic hyperpolarized structures, such as collagen. During the past years, several quantification methods to analyze and evaluate these images have been developed. However, automated or semiautomated solutions are necessary to ensure objectivity and reproducibility of such analysis. This work describes automation and improvement methods for calculating the anisotropy (using fast Fourier transform analysis and the gray-level co-occurrence matrix). These were applied to analyze biopsy samples of human ovarian epithelial cancer at different stages of malignancy (mucinous, serous, mixed, and endometrial subtypes). The semiautomation procedure enabled us to design a diagnostic protocol that recognizes between healthy and pathologic tissues, as well as between different tumor types.
Fil: Zeitoune, Angel Alberto. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro de Investigaciones y Transferencia de Entre Ríos. Universidad Nacional de Entre Ríos. Centro de Investigaciones y Transferencia de Entre Ríos; Argentina
Fil: Luna, Johana S. J.. Universidad Nacional de Entre Ríos. Facultad de Ingeniería; Argentina
Fil: Sanchez Salas, Kynthia. Universidad Nacional de Entre Ríos. Facultad de Ingeniería; Argentina
Fil: Erbes, Luciana Ariadna. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro de Investigaciones y Transferencia de Entre Ríos. Universidad Nacional de Entre Ríos. Centro de Investigaciones y Transferencia de Entre Ríos; Argentina
Fil: Cesar, Carlos L.. Universidade Federal do Ceará; Brasil. National Institute of Science and Technology on Photonics Applied to Cell Biology; Brasil
Fil: Andrade, Liliana A. L. A.. Universidade Estadual de Campinas; Brasil
Fil: Carvahlo, Hernades F.. Universidade Estadual de Campinas; Brasil. National Institute of Science and Technology on Photonics Applied to Cell Biology; Brasil
Fil: Bottcher Luiz, Fátima. Universidade Estadual de Campinas; Brasil. National Institute of Science and Technology on Photonics Applied to Cell Biology; Brasil
Fil: Casco, Victor Hugo. Universidad Nacional de Entre Ríos. Facultad de Ingeniería; Argentina
Fil: Adur, Javier Fernando. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro de Investigaciones y Transferencia de Entre Ríos. Universidad Nacional de Entre Ríos. Centro de Investigaciones y Transferencia de Entre Ríos; Argentina. Universidad Nacional de Entre Ríos. Facultad de Ingeniería; Argentina
description A vast number of human pathologic conditions are directly or indirectly related to tissular collagen structure remodeling. The nonlinear optical microscopy second-harmonic generation has become a powerful tool for imaging biological tissues with anisotropic hyperpolarized structures, such as collagen. During the past years, several quantification methods to analyze and evaluate these images have been developed. However, automated or semiautomated solutions are necessary to ensure objectivity and reproducibility of such analysis. This work describes automation and improvement methods for calculating the anisotropy (using fast Fourier transform analysis and the gray-level co-occurrence matrix). These were applied to analyze biopsy samples of human ovarian epithelial cancer at different stages of malignancy (mucinous, serous, mixed, and endometrial subtypes). The semiautomation procedure enabled us to design a diagnostic protocol that recognizes between healthy and pathologic tissues, as well as between different tumor types.
publishDate 2017
dc.date.none.fl_str_mv 2017-02
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/11336/42377
Zeitoune, Angel Alberto; Luna, Johana S. J.; Sanchez Salas, Kynthia; Erbes, Luciana Ariadna; Cesar, Carlos L.; et al.; Epithelial Ovarian Cancer Diagnosis of SecondHarmonic Generation Images: A Semiautomatic Collagen Fibers Quantification Protocol; SAGE Publications; Cancer Informatics; 16; 2-2017; 1-12
1176-9351
1176-9351
CONICET Digital
CONICET
url http://hdl.handle.net/11336/42377
identifier_str_mv Zeitoune, Angel Alberto; Luna, Johana S. J.; Sanchez Salas, Kynthia; Erbes, Luciana Ariadna; Cesar, Carlos L.; et al.; Epithelial Ovarian Cancer Diagnosis of SecondHarmonic Generation Images: A Semiautomatic Collagen Fibers Quantification Protocol; SAGE Publications; Cancer Informatics; 16; 2-2017; 1-12
1176-9351
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1177/1176935117690162
info:eu-repo/semantics/altIdentifier/url/http://journals.sagepub.com/doi/10.1177/1176935117690162
info:eu-repo/semantics/altIdentifier/url/https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5392028/
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv SAGE Publications
publisher.none.fl_str_mv SAGE Publications
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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score 13.13397

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