Descripción
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In order to properly model and reconstruct embryogenesis, it is crucial to provide accurate quantitative measurements, both in time and space, of a significant number of gene patterns with cellular resolution. Acquiring a sufficient amount of these gene patterns at different developmental stages requires the imaging of a large number of different individuals, each of which is stained to display only a few of these expressions. In this scenario, it becomes crucial to dispose of the necessary tools that bring together all these various acquisitions into one single digital model where all the gene expression interactions can be jointly visualized, measured and studied at once. We have developed a registration framework capable to accurately and automatically match a large number of highly variable acquisitions of zebrafish embryos into one target individual. Little human interaction is required throughout the process and a visualization software was developed that facilitates the inspection, supervision and interaction with the results. We have used these tools to generate a 3D Atlas of zebrafish gene expression which integrates information from 51 different embryos, 200.000 cells, 96 gene patterns and 6 time cohorts spanning from 3 to 6 hpf (hours post fertilization). | |
Internacional
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Si |
Entidad
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IEEE Signal Processing Society |
Lugar
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Barcelona |
Páginas
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Referencia/URL
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Tipo de publicación
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Libro de resúmenes |