Memorias de investigación
Thesis:
Mathematical methods for processing and analyzing in-vivo fluorescence images of embryo development
Year:2009

Research Areas
  • Electronics engineering

Information
Abstract
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.
International
Si
Type
Doctoral
Mark Rating
Sobresaliente cum laude
Date
14/12/2009
Participants

Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Tecnología de imágenes biomédicas
  • Centro o Instituto I+D+i: Centro de tecnología Biomédica CTB
  • Departamento: Ingeniería Electrónica