Descripción
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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. | |
Internacional
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Si |
Nombre congreso
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33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2011) |
Tipo de participación
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960 |
Lugar del congreso
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Boston, MA USA |
Revisores
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Si |
ISBN o ISSN
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1557-170X |
DOI
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10.1109/IEMBS.2011.6091687 |
Fecha inicio congreso
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30/08/2011 |
Fecha fin congreso
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03/09/2011 |
Desde la página
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6841 |
Hasta la página
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6844 |
Título de las actas
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33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2011) |