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

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...

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Detalles Bibliográficos
Autores principales: González, Mariela A., Rapacioli, Melina, Ballarín, Virginia Laura, Fiszer de Plazas, Sara, Flores, Vladimir
Formato: Articulo
Lenguaje:Inglés
Publicado: 2007
Materias:
Ciencias Informáticas
Segmentation
digital image processing
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/9563
http://journal.info.unlp.edu.ar/wp-content/uploads/JCST-Oct07-9.pdf
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-9563
record_format dspace
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Ciencias Informáticas
Segmentation
digital image processing
spellingShingle Ciencias Informáticas
Segmentation
digital image processing
González, Mariela A.
Rapacioli, Melina
Ballarín, Virginia Laura
Fiszer de Plazas, Sara
Flores, Vladimir
Digital processing of in situ hybridization images: identification and spatial allocation of specific labels
topic_facet Ciencias Informáticas
Segmentation
digital image processing
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.
format Articulo
Articulo
author González, Mariela A.
Rapacioli, Melina
Ballarín, Virginia Laura
Fiszer de Plazas, Sara
Flores, Vladimir
author_facet González, Mariela A.
Rapacioli, Melina
Ballarín, Virginia Laura
Fiszer de Plazas, Sara
Flores, Vladimir
author_sort González, Mariela A.
title Digital processing of in situ hybridization images: identification and spatial allocation of specific labels
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
publishDate 2007
url http://sedici.unlp.edu.ar/handle/10915/9563
http://journal.info.unlp.edu.ar/wp-content/uploads/JCST-Oct07-9.pdf
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AT fiszerdeplazassara digitalprocessingofinsituhybridizationimagesidentificationandspatialallocationofspecificlabels
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