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Image Processing Challenges in the Creation of Spatiotemporal Gene Expression Atlases of Developing Embryos
Cita
Castro González, Carlos, Luengo Oroz, Miguel Ángel, Douloquin, Louise, Savy, Thierry, Melani, Camilo, Desnoulez, Sophie, Bourgine, Paul, Peyrieras, Nadine, Ledesma Carbayo, María Jesús 
ORCID: https://orcid.org/0000-0001-6846-3923 and Santos Lleo, Andres de ORCID: https://orcid.org/0000-0001-7423-9135
(2011).
Image Processing Challenges in the Creation of Spatiotemporal Gene Expression Atlases of Developing Embryos.
En: "33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBS 2011)", 30/08/2011 - 03/09/2011, Boston, EEUU. ISBN 978-1-4244-4121-1.
ORCID: https://orcid.org/0000-0001-6846-3923 and Santos Lleo, Andres de ORCID: https://orcid.org/0000-0001-7423-9135
(2011).
Image Processing Challenges in the Creation of Spatiotemporal Gene Expression Atlases of Developing Embryos.
En: "33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBS 2011)", 30/08/2011 - 03/09/2011, Boston, EEUU. ISBN 978-1-4244-4121-1.
Descripción
| Título: | Image Processing Challenges in the Creation of Spatiotemporal Gene Expression Atlases of Developing Embryos |
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| Autor/es: |
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| Tipo de Documento: | Ponencia en Congreso o Jornada (Artículo) |
| Título del Evento: | 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBS 2011) |
| Fechas del Evento: | 30/08/2011 - 03/09/2011 |
| Lugar del Evento: | Boston, EEUU |
| Título del Libro: | Proceedings of 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBS 2011) |
| Fecha: | 2011 |
| ISBN: | 978-1-4244-4121-1 |
| Materias: | |
| ODS: | |
| Escuela: | E.T.S.I. Telecomunicación (UPM) |
| Departamento: | Ingeniería Electrónica |
| Licencias Creative Commons: | Reconocimiento - Sin obra derivada - No comercial |
Resumen
To properly understand and model animal embryogenesis it is crucial to obtain detailed measurements, both in time and space, about their gene expression domains and cell dynamics. Such challenge has been confronted in recent years by a surge of atlases which integrate a statistically relevant number of different individuals to get robust, complete information about their spatiotemporal locations of gene patterns. This paper will discuss the fundamental image analysis strategies required to build such models and the most common problems found along the way. We also discuss the main challenges and future goals in the field.
Más información
| ID de Registro: | 12032 |
|---|---|
| Identificador DC: | https://oa.upm.es/12032/ |
| Identificador OAI: | oai:oa.upm.es:12032 |
| URL Oficial: | http://ieeexplore.ieee.org/xpl/articleDetails.jsp?... |
| Depositado por: | Memoria Investigacion |
| Depositado el: | 18 Sep 2012 08:05 |
| Ultima Modificación: | 21 Abr 2016 11:11 |
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