Nonlinear Optical Microscopy Signal Processing Strategies in Cancer
- Autores
- Adur, Javier Fernando; Carvalho, Hernandes F.; Cesar, Carlos L.; Casco, Victor Hugo
- Año de publicación
- 2014
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- This work reviews the most relevant present-day processing methods used to improve the accuracy of multimodal nonlinear images in the detection of epithelial cancer and the supporting stroma. Special emphasis has been placed on methods of non linear optical (NLO) microscopy image processing such as: second harmonic to autofluorescence ageing index of dermis (SAAID), tumor-associated collagen signatures (TACS), fast Fourier transform (FFT) analysis, and gray level co-occurrence matrix (GLCM)-based methods. These strategies are presented as a set of potential valuable diagnostic tools for early cancer detection. It may be proposed that the combination of NLO microscopy and informatics based image analysis approaches described in this review (all carried out on free software) may represent a powerful tool to investigate collagen organization and remodeling of extracellular matrix in carcinogenesis processes.
Fil: Adur, Javier Fernando. Universidad Nacional de Entre Ríos. Facultad de Ingeniería; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Carvalho, Hernandes F.. Instituto Nacional de Ciéncia y Tecnologia de Fotónica Aplicada á Biología Celular; Brasil
Fil: Cesar, Carlos L.. Instituto Nacional de Ciéncia y Tecnologia de Fotónica Aplicada á Biología Celular; Brasil
Fil: Casco, Victor Hugo. Universidad Nacional de Entre Ríos. Facultad de Ingeniería; Argentina - Materia
-
Nonlinear Signal
Nonlinear Microscopy
Anisotropy, Gray Level Co-Occurrence Matrix
Tumor-Associated Collagen Signatures - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- https://creativecommons.org/licenses/by-nc/2.5/ar/
- Repositorio
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/35434
Ver los metadatos del registro completo
id |
CONICETDig_649b14da75c735ac5060a46e2cea1df5 |
---|---|
oai_identifier_str |
oai:ri.conicet.gov.ar:11336/35434 |
network_acronym_str |
CONICETDig |
repository_id_str |
3498 |
network_name_str |
CONICET Digital (CONICET) |
spelling |
Nonlinear Optical Microscopy Signal Processing Strategies in CancerAdur, Javier FernandoCarvalho, Hernandes F.Cesar, Carlos L.Casco, Victor HugoNonlinear SignalNonlinear MicroscopyAnisotropy, Gray Level Co-Occurrence MatrixTumor-Associated Collagen Signatureshttps://purl.org/becyt/ford/3.1https://purl.org/becyt/ford/3This work reviews the most relevant present-day processing methods used to improve the accuracy of multimodal nonlinear images in the detection of epithelial cancer and the supporting stroma. Special emphasis has been placed on methods of non linear optical (NLO) microscopy image processing such as: second harmonic to autofluorescence ageing index of dermis (SAAID), tumor-associated collagen signatures (TACS), fast Fourier transform (FFT) analysis, and gray level co-occurrence matrix (GLCM)-based methods. These strategies are presented as a set of potential valuable diagnostic tools for early cancer detection. It may be proposed that the combination of NLO microscopy and informatics based image analysis approaches described in this review (all carried out on free software) may represent a powerful tool to investigate collagen organization and remodeling of extracellular matrix in carcinogenesis processes.Fil: Adur, Javier Fernando. Universidad Nacional de Entre Ríos. Facultad de Ingeniería; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Carvalho, Hernandes F.. Instituto Nacional de Ciéncia y Tecnologia de Fotónica Aplicada á Biología Celular; BrasilFil: Cesar, Carlos L.. Instituto Nacional de Ciéncia y Tecnologia de Fotónica Aplicada á Biología Celular; BrasilFil: Casco, Victor Hugo. Universidad Nacional de Entre Ríos. Facultad de Ingeniería; ArgentinaSage Publications2014-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/35434Adur, Javier Fernando; Carvalho, Hernandes F.; Cesar, Carlos L.; Casco, Victor Hugo; Nonlinear Optical Microscopy Signal Processing Strategies in Cancer; Sage Publications; Cancer Informatics; 13; 1-2014; 67-761176-9351CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/http://www.la-press.com/article.php?article_id=4148info:eu-repo/semantics/altIdentifier/doi/10.4137/CIN.S12419info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:36:19Zoai:ri.conicet.gov.ar:11336/35434instacron: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 10:36:19.729CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
dc.title.none.fl_str_mv |
Nonlinear Optical Microscopy Signal Processing Strategies in Cancer |
title |
Nonlinear Optical Microscopy Signal Processing Strategies in Cancer |
spellingShingle |
Nonlinear Optical Microscopy Signal Processing Strategies in Cancer Adur, Javier Fernando Nonlinear Signal Nonlinear Microscopy Anisotropy, Gray Level Co-Occurrence Matrix Tumor-Associated Collagen Signatures |
title_short |
Nonlinear Optical Microscopy Signal Processing Strategies in Cancer |
title_full |
Nonlinear Optical Microscopy Signal Processing Strategies in Cancer |
title_fullStr |
Nonlinear Optical Microscopy Signal Processing Strategies in Cancer |
title_full_unstemmed |
Nonlinear Optical Microscopy Signal Processing Strategies in Cancer |
title_sort |
Nonlinear Optical Microscopy Signal Processing Strategies in Cancer |
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.subject.none.fl_str_mv |
Nonlinear Signal Nonlinear Microscopy Anisotropy, Gray Level Co-Occurrence Matrix Tumor-Associated Collagen Signatures |
topic |
Nonlinear Signal Nonlinear Microscopy Anisotropy, Gray Level Co-Occurrence Matrix Tumor-Associated Collagen Signatures |
purl_subject.fl_str_mv |
https://purl.org/becyt/ford/3.1 https://purl.org/becyt/ford/3 |
dc.description.none.fl_txt_mv |
This work reviews the most relevant present-day processing methods used to improve the accuracy of multimodal nonlinear images in the detection of epithelial cancer and the supporting stroma. Special emphasis has been placed on methods of non linear optical (NLO) microscopy image processing such as: second harmonic to autofluorescence ageing index of dermis (SAAID), tumor-associated collagen signatures (TACS), fast Fourier transform (FFT) analysis, and gray level co-occurrence matrix (GLCM)-based methods. These strategies are presented as a set of potential valuable diagnostic tools for early cancer detection. It may be proposed that the combination of NLO microscopy and informatics based image analysis approaches described in this review (all carried out on free software) may represent a powerful tool to investigate collagen organization and remodeling of extracellular matrix in carcinogenesis processes. Fil: Adur, Javier Fernando. Universidad Nacional de Entre Ríos. Facultad de Ingeniería; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina Fil: Carvalho, Hernandes F.. Instituto Nacional de Ciéncia y Tecnologia de Fotónica Aplicada á Biología Celular; Brasil Fil: Cesar, Carlos L.. Instituto Nacional de Ciéncia y Tecnologia de Fotónica Aplicada á Biología Celular; Brasil Fil: Casco, Victor Hugo. Universidad Nacional de Entre Ríos. Facultad de Ingeniería; Argentina |
description |
This work reviews the most relevant present-day processing methods used to improve the accuracy of multimodal nonlinear images in the detection of epithelial cancer and the supporting stroma. Special emphasis has been placed on methods of non linear optical (NLO) microscopy image processing such as: second harmonic to autofluorescence ageing index of dermis (SAAID), tumor-associated collagen signatures (TACS), fast Fourier transform (FFT) analysis, and gray level co-occurrence matrix (GLCM)-based methods. These strategies are presented as a set of potential valuable diagnostic tools for early cancer detection. It may be proposed that the combination of NLO microscopy and informatics based image analysis approaches described in this review (all carried out on free software) may represent a powerful tool to investigate collagen organization and remodeling of extracellular matrix in carcinogenesis processes. |
publishDate |
2014 |
dc.date.none.fl_str_mv |
2014-01 |
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/11336/35434 Adur, Javier Fernando; Carvalho, Hernandes F.; Cesar, Carlos L.; Casco, Victor Hugo; Nonlinear Optical Microscopy Signal Processing Strategies in Cancer; Sage Publications; Cancer Informatics; 13; 1-2014; 67-76 1176-9351 CONICET Digital CONICET |
url |
http://hdl.handle.net/11336/35434 |
identifier_str_mv |
Adur, Javier Fernando; Carvalho, Hernandes F.; Cesar, Carlos L.; Casco, Victor Hugo; Nonlinear Optical Microscopy Signal Processing Strategies in Cancer; Sage Publications; Cancer Informatics; 13; 1-2014; 67-76 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/url/http://www.la-press.com/article.php?article_id=4148 info:eu-repo/semantics/altIdentifier/doi/10.4137/CIN.S12419 |
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 |
_version_ |
1844614383409299456 |
score |
13.070432 |