Nonlinear Microscopy Techniques: Principles and Biomedical Applications

Autores
Adur, Javier Fernando; Carvalho, Hernandes F.; Cesar, Carlos L.; Casco, Victor Hugo
Año de publicación
2016
Idioma
inglés
Tipo de recurso
parte de libro
Estado
versión publicada
Descripción
Nonlinear optical microscopy techniques have emerged as a set of successful tools within the biomedical research field. These techniques have been successfully used to study autofluorescence signals in living tissues, structural protein arrays, and to reveal the presence of lipid bodies inside the tissular volume. In the first section, the nonlinearcontrast technique foundations is described, and also, a practical approach about how to build and combine this setup on a single confocal system platform shall be provided. In the next section, examples of the usefulness of these approaches to detect early changes associated with the progression of different epithelial and connective tissular diseases are presented.Finally, in the last section, we attempt to review the present?]day most relevant analysis methods used to improve the accuracy of multimodal nonlinear images in the detection of epithelial cancer and the supporting stroma. These methods are presented as a set of potential valuable diagnostic tools for early cancer detection and to differentiate clinicalsubtypes of osteogenesis imperfecta disorders, being highly advantageous over presente classical clinical diagnostic procedures.In this chapter, it is proposed that the combination of nonlinear optical microscopy and informatics?]based image analysis approaches may represent a powerful tool to investigate collagen organization in skin diseases and tumor cell morphology.
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
Fil: Carvalho, Hernandes F.. Universidade Estadual de Campinas; Brasil
Fil: Cesar, Carlos L.. Universidade Estadual de Campinas; Brasil
Fil: Casco, Victor Hugo. Universidad Nacional de Entre Ríos; Argentina
Materia
Non linear microscopy
second harmonic generation
third harmonic generation
image analysis
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:11336/110755
Acceder
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network_name_str CONICET Digital (CONICET)
spelling Nonlinear Microscopy Techniques: Principles and Biomedical ApplicationsAdur, Javier FernandoCarvalho, Hernandes F.Cesar, Carlos L.Casco, Victor HugoNon linear microscopysecond harmonic generationthird harmonic generationimage analysishttps://purl.org/becyt/ford/1.3https://purl.org/becyt/ford/1Nonlinear optical microscopy techniques have emerged as a set of successful tools within the biomedical research field. These techniques have been successfully used to study autofluorescence signals in living tissues, structural protein arrays, and to reveal the presence of lipid bodies inside the tissular volume. In the first section, the nonlinearcontrast technique foundations is described, and also, a practical approach about how to build and combine this setup on a single confocal system platform shall be provided. In the next section, examples of the usefulness of these approaches to detect early changes associated with the progression of different epithelial and connective tissular diseases are presented.Finally, in the last section, we attempt to review the present?]day most relevant analysis methods used to improve the accuracy of multimodal nonlinear images in the detection of epithelial cancer and the supporting stroma. These methods are presented as a set of potential valuable diagnostic tools for early cancer detection and to differentiate clinicalsubtypes of osteogenesis imperfecta disorders, being highly advantageous over presente classical clinical diagnostic procedures.In this chapter, it is proposed that the combination of nonlinear optical microscopy and informatics?]based image analysis approaches may represent a powerful tool to investigate collagen organization in skin diseases and tumor cell morphology.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; ArgentinaFil: Carvalho, Hernandes F.. Universidade Estadual de Campinas; BrasilFil: Cesar, Carlos L.. Universidade Estadual de Campinas; BrasilFil: Casco, Victor Hugo. Universidad Nacional de Entre Ríos; ArgentinaIntechOpenStanciu, S.G.2016info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/bookParthttp://purl.org/coar/resource_type/c_3248info:ar-repo/semantics/parteDeLibroapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/110755Adur, Javier Fernando; Carvalho, Hernandes F.; Cesar, Carlos L.; Casco, Victor Hugo; Nonlinear Microscopy Techniques: Principles and Biomedical Applications; IntechOpen; 2016; 121-149978-953-51-4723-7CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://www.intechopen.com/books/microscopy-and-analysis/nonlinear-microscopy-techniques-principles-and-biomedical-applicationsinfo:eu-repo/semantics/altIdentifier/doi/10.5772/63451info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T09:56:24Zoai:ri.conicet.gov.ar:11336/110755instacron: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:34982025-09-29 09:56:24.457CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Nonlinear Microscopy Techniques: Principles and Biomedical Applications
title Nonlinear Microscopy Techniques: Principles and Biomedical Applications
spellingShingle Nonlinear Microscopy Techniques: Principles and Biomedical Applications
Adur, Javier Fernando
Non linear microscopy
second harmonic generation
third harmonic generation
image analysis
title_short Nonlinear Microscopy Techniques: Principles and Biomedical Applications
title_full Nonlinear Microscopy Techniques: Principles and Biomedical Applications
title_fullStr Nonlinear Microscopy Techniques: Principles and Biomedical Applications
title_full_unstemmed Nonlinear Microscopy Techniques: Principles and Biomedical Applications
title_sort Nonlinear Microscopy Techniques: Principles and Biomedical Applications
dc.creator.none.fl_str_mv Adur, Javier Fernando
Carvalho, Hernandes F.
Cesar, Carlos L.
Casco, Victor Hugo
author Adur, Javier Fernando
author_facet Adur, Javier Fernando
Carvalho, Hernandes F.
Cesar, Carlos L.
Casco, Victor Hugo
author_role author
author2 Carvalho, Hernandes F.
Cesar, Carlos L.
Casco, Victor Hugo
author2_role author
author
author
dc.contributor.none.fl_str_mv Stanciu, S.G.
dc.subject.none.fl_str_mv Non linear microscopy
second harmonic generation
third harmonic generation
image analysis
topic Non linear microscopy
second harmonic generation
third harmonic generation
image analysis
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.3
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv Nonlinear optical microscopy techniques have emerged as a set of successful tools within the biomedical research field. These techniques have been successfully used to study autofluorescence signals in living tissues, structural protein arrays, and to reveal the presence of lipid bodies inside the tissular volume. In the first section, the nonlinearcontrast technique foundations is described, and also, a practical approach about how to build and combine this setup on a single confocal system platform shall be provided. In the next section, examples of the usefulness of these approaches to detect early changes associated with the progression of different epithelial and connective tissular diseases are presented.Finally, in the last section, we attempt to review the present?]day most relevant analysis methods used to improve the accuracy of multimodal nonlinear images in the detection of epithelial cancer and the supporting stroma. These methods are presented as a set of potential valuable diagnostic tools for early cancer detection and to differentiate clinicalsubtypes of osteogenesis imperfecta disorders, being highly advantageous over presente classical clinical diagnostic procedures.In this chapter, it is proposed that the combination of nonlinear optical microscopy and informatics?]based image analysis approaches may represent a powerful tool to investigate collagen organization in skin diseases and tumor cell morphology.
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
Fil: Carvalho, Hernandes F.. Universidade Estadual de Campinas; Brasil
Fil: Cesar, Carlos L.. Universidade Estadual de Campinas; Brasil
Fil: Casco, Victor Hugo. Universidad Nacional de Entre Ríos; Argentina
description Nonlinear optical microscopy techniques have emerged as a set of successful tools within the biomedical research field. These techniques have been successfully used to study autofluorescence signals in living tissues, structural protein arrays, and to reveal the presence of lipid bodies inside the tissular volume. In the first section, the nonlinearcontrast technique foundations is described, and also, a practical approach about how to build and combine this setup on a single confocal system platform shall be provided. In the next section, examples of the usefulness of these approaches to detect early changes associated with the progression of different epithelial and connective tissular diseases are presented.Finally, in the last section, we attempt to review the present?]day most relevant analysis methods used to improve the accuracy of multimodal nonlinear images in the detection of epithelial cancer and the supporting stroma. These methods are presented as a set of potential valuable diagnostic tools for early cancer detection and to differentiate clinicalsubtypes of osteogenesis imperfecta disorders, being highly advantageous over presente classical clinical diagnostic procedures.In this chapter, it is proposed that the combination of nonlinear optical microscopy and informatics?]based image analysis approaches may represent a powerful tool to investigate collagen organization in skin diseases and tumor cell morphology.
publishDate 2016
dc.date.none.fl_str_mv 2016
dc.type.none.fl_str_mv info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/bookPart
http://purl.org/coar/resource_type/c_3248
info:ar-repo/semantics/parteDeLibro
status_str publishedVersion
format bookPart
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/110755
Adur, Javier Fernando; Carvalho, Hernandes F.; Cesar, Carlos L.; Casco, Victor Hugo; Nonlinear Microscopy Techniques: Principles and Biomedical Applications; IntechOpen; 2016; 121-149
978-953-51-4723-7
CONICET Digital
CONICET
url http://hdl.handle.net/11336/110755
identifier_str_mv Adur, Javier Fernando; Carvalho, Hernandes F.; Cesar, Carlos L.; Casco, Victor Hugo; Nonlinear Microscopy Techniques: Principles and Biomedical Applications; IntechOpen; 2016; 121-149
978-953-51-4723-7
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://www.intechopen.com/books/microscopy-and-analysis/nonlinear-microscopy-techniques-principles-and-biomedical-applications
info:eu-repo/semantics/altIdentifier/doi/10.5772/63451
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 IntechOpen
publisher.none.fl_str_mv IntechOpen
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 13.070432

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