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Descripción
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| The main objective of this PhD Thesis is to design and develop a set of mathematical methods able to process and analyze datasets of 3D+t in-vivo images of embryo development obtained with state-ofthe- art microscopy techniques. These automated methods should allow to extract relevant emergent phenomena from the massive quantity of data produced by new imaging technologies. Globally, this PhD Thesis aims to contribute to the long standing goal of reconstructing embryogenesis by integrating cellular and molecular dynamics. Digitalizing cellular dynamics requires extracting the lineage tree and structural information from the developing embryo. Digitalizing molecular dynamics needs to take into account the spatio-temporal patterns of gene expression during development. The multiscale integration of both levels should lead to complete digital reconstruction of embryogenesis that might be used not only in embryogenesis understanding, but also in stem cell research or in pre-clinical trials of anti-cancer therapies. | |
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Internacional
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Si |
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ISBN
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Tipo de Tesis
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Doctoral |
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Calificación
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Sobresaliente cum laude |
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Fecha
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14/12/2009 |