Digital processing of in situ hybridization images: identification and spatial allocation of specific labels

Autores
González, Mariela A.; Rapacioli, Melina; Ballarín, Virginia Laura; Fiszer de Plazas, Sara; Flores, Vladimir
Año de publicación
2007
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
In situ hybridization (ISH) method allows to reveal specific genes expression, identify specific cell types and detect areas or tissues, displaying differential gene expression. This work describes a standardized procedure of digital image processing that allows detailed analyses of ISH preparations. We have developed a software that allows through a graphical interface (a) to reliably identify and quantify ISH labels, (b) to locate each label within the image reference system (c) to assemble the total series of images obtained from a complete histological sections of a biological structure, and d) to locate all the labels within a unique reference system that corresponds to the complete biological structure. As each ISH label is positioned within a spatial coordinates system coinciding with an intrinsic biological reference axis, this software can be used to analyze the spatial pattern of distribution of specific genes expression during the embryonic development. The software allows the construction of numerical space series that can be used to analyze the variability and the dynamics of genes expression as a function of space and/or time during the embryonic development.
Facultad de Informática
Materia
Ciencias Informáticas
Segmentation
digital image processing
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc/3.0/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/9563
Acceder
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repository_id_str 1329
network_name_str SEDICI (UNLP)
spelling Digital processing of in situ hybridization images: identification and spatial allocation of specific labelsGonzález, Mariela A.Rapacioli, MelinaBallarín, Virginia LauraFiszer de Plazas, SaraFlores, VladimirCiencias InformáticasSegmentationdigital image processingIn situ hybridization (ISH) method allows to reveal specific genes expression, identify specific cell types and detect areas or tissues, displaying differential gene expression. This work describes a standardized procedure of digital image processing that allows detailed analyses of ISH preparations. We have developed a software that allows through a graphical interface (a) to reliably identify and quantify ISH labels, (b) to locate each label within the image reference system (c) to assemble the total series of images obtained from a complete histological sections of a biological structure, and d) to locate all the labels within a unique reference system that corresponds to the complete biological structure. As each ISH label is positioned within a spatial coordinates system coinciding with an intrinsic biological reference axis, this software can be used to analyze the spatial pattern of distribution of specific genes expression during the embryonic development. The software allows the construction of numerical space series that can be used to analyze the variability and the dynamics of genes expression as a function of space and/or time during the embryonic development.Facultad de Informática2007-10info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionArticulohttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdf243-248http://sedici.unlp.edu.ar/handle/10915/9563enginfo:eu-repo/semantics/altIdentifier/url/http://journal.info.unlp.edu.ar/wp-content/uploads/JCST-Oct07-9.pdfinfo:eu-repo/semantics/altIdentifier/issn/1666-6038info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc/3.0/Creative Commons Attribution-NonCommercial 3.0 Unported (CC BY-NC 3.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-09-29T10:50:44Zoai:sedici.unlp.edu.ar:10915/9563Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-29 10:50:44.395SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv Digital processing of in situ hybridization images: identification and spatial allocation of specific labels
title Digital processing of in situ hybridization images: identification and spatial allocation of specific labels
spellingShingle Digital processing of in situ hybridization images: identification and spatial allocation of specific labels
González, Mariela A.
Ciencias Informáticas
Segmentation
digital image processing
title_short Digital processing of in situ hybridization images: identification and spatial allocation of specific labels
title_full Digital processing of in situ hybridization images: identification and spatial allocation of specific labels
title_fullStr Digital processing of in situ hybridization images: identification and spatial allocation of specific labels
title_full_unstemmed Digital processing of in situ hybridization images: identification and spatial allocation of specific labels
title_sort Digital processing of in situ hybridization images: identification and spatial allocation of specific labels
dc.creator.none.fl_str_mv González, Mariela A.
Rapacioli, Melina
Ballarín, Virginia Laura
Fiszer de Plazas, Sara
Flores, Vladimir
author González, Mariela A.
author_facet González, Mariela A.
Rapacioli, Melina
Ballarín, Virginia Laura
Fiszer de Plazas, Sara
Flores, Vladimir
author_role author
author2 Rapacioli, Melina
Ballarín, Virginia Laura
Fiszer de Plazas, Sara
Flores, Vladimir
author2_role author
author
author
author
dc.subject.none.fl_str_mv Ciencias Informáticas
Segmentation
digital image processing
topic Ciencias Informáticas
Segmentation
digital image processing
dc.description.none.fl_txt_mv In situ hybridization (ISH) method allows to reveal specific genes expression, identify specific cell types and detect areas or tissues, displaying differential gene expression. This work describes a standardized procedure of digital image processing that allows detailed analyses of ISH preparations. We have developed a software that allows through a graphical interface (a) to reliably identify and quantify ISH labels, (b) to locate each label within the image reference system (c) to assemble the total series of images obtained from a complete histological sections of a biological structure, and d) to locate all the labels within a unique reference system that corresponds to the complete biological structure. As each ISH label is positioned within a spatial coordinates system coinciding with an intrinsic biological reference axis, this software can be used to analyze the spatial pattern of distribution of specific genes expression during the embryonic development. The software allows the construction of numerical space series that can be used to analyze the variability and the dynamics of genes expression as a function of space and/or time during the embryonic development.
Facultad de Informática
description In situ hybridization (ISH) method allows to reveal specific genes expression, identify specific cell types and detect areas or tissues, displaying differential gene expression. This work describes a standardized procedure of digital image processing that allows detailed analyses of ISH preparations. We have developed a software that allows through a graphical interface (a) to reliably identify and quantify ISH labels, (b) to locate each label within the image reference system (c) to assemble the total series of images obtained from a complete histological sections of a biological structure, and d) to locate all the labels within a unique reference system that corresponds to the complete biological structure. As each ISH label is positioned within a spatial coordinates system coinciding with an intrinsic biological reference axis, this software can be used to analyze the spatial pattern of distribution of specific genes expression during the embryonic development. The software allows the construction of numerical space series that can be used to analyze the variability and the dynamics of genes expression as a function of space and/or time during the embryonic development.
publishDate 2007
dc.date.none.fl_str_mv 2007-10
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Articulo
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://sedici.unlp.edu.ar/handle/10915/9563
url http://sedici.unlp.edu.ar/handle/10915/9563
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/http://journal.info.unlp.edu.ar/wp-content/uploads/JCST-Oct07-9.pdf
info:eu-repo/semantics/altIdentifier/issn/1666-6038
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc/3.0/
Creative Commons Attribution-NonCommercial 3.0 Unported (CC BY-NC 3.0)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc/3.0/
Creative Commons Attribution-NonCommercial 3.0 Unported (CC BY-NC 3.0)
dc.format.none.fl_str_mv application/pdf
243-248
dc.source.none.fl_str_mv reponame:SEDICI (UNLP)
instname:Universidad Nacional de La Plata
instacron:UNLP
reponame_str SEDICI (UNLP)
collection SEDICI (UNLP)
instname_str Universidad Nacional de La Plata
instacron_str UNLP
institution UNLP
repository.name.fl_str_mv SEDICI (UNLP) - Universidad Nacional de La Plata
repository.mail.fl_str_mv alira@sedici.unlp.edu.ar
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