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Memorias de investigación
Ponencias en congresos:
Combining Sea Urchin Embryo Cell Lineages by Error-Tolerant Graph Matching
Año:2009
Áreas de investigación
  • Industria electrónica
Datos
Descripción
Obtaining the complete cell lineage tree of an embryo¿s development is a very appealing and ambitious goal, but fortunately recent developments both in optical imaging and digital image processing are bringing it closer. However, when imaging the embryos (sea urchin embryos for this work) with high enough spatial resolution and short enough time-step to make cell segmentation and tracking possible, it is currently not possible to image the specimen throughout its all embryogenesis. For this reason it is interesting to explore how cell lineage trees extracted from two different embryos of the same species and imaged for overlapping periods of time can be concatenated, resulting in a single lineage tree covering both embryos¿ development time frames. To achieve this we used an error-tolerant graph matching strategy by selecting a time point at which both lineage trees overlap, and representing the information about each embryo at that time point as a graph in which nodes stand for cells and edges for neighborhood relationships among cells. The expected output of the graph matching algorithm is the minimal-cost correspondence between cells of both specimens, allowing us to perform the lineage combination.
Internacional
Si
Nombre congreso
31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2009)
Tipo de participación
960
Lugar del congreso
Minneapolis MN USA
Revisores
Si
ISBN o ISSN
1557-170X
DOI
Fecha inicio congreso
02/09/2009
Fecha fin congreso
06/09/2009
Desde la página
5918
Hasta la página
5921
Título de las actas
Proceedings of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2009)
Esta actividad pertenece a memorias de investigación
Participantes
  • Autor: José Luis Rubio Guivernau (UPM)
  • Autor: Miguel Angel Luengo Oroz (UPM)
  • Autor: Andres de Santos Lleo (UPM)
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Tecnología de imágenes biomédicas
  • Centro o Instituto I+D+i: Centro de tecnología Biomédica CTB
  • Departamento: Ingeniería Electrónica
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