Memorias de investigación
Artículos en revistas:
3D segmentations of neuronal nuclei from confocal microscope image stacks
Año:2013
Áreas de investigación
  • Biomedicina
Datos
Descripción
In this paper, we present an algorithm to create 3D segmentations of neuronal cells from stacks of previously segmented 2D images. The idea behind this proposal is to provide a general method to reconstruct 3D structures from 2D stacks, regardless of how these 2D stacks have been obtained. The algorithm not only reuses the information obtained in the 2D segmentation, but also attempts to correct some typical mistakes made by the 2D segmentation algorithms (for example, under segmentation of tightly-coupled clusters of cells). We have tested our algorithm in a real scenario?the segmentation of the neuronal nuclei in different layers of the rat cerebral cortex. Several representative images from different layers of the cerebral cortex have been considered and several 2D segmentation algorithms have been compared. Furthermore, the algorithm has also been compared with the traditional 3D Watershed algorithm and the results obtained here show better performance in terms of correctly identified neuronal nuclei.
Internacional
Si
JCR del ISI
Si
Título de la revista
Frontiers in Neuroanatomy
ISSN
1662-5129
Factor de impacto JCR
4,058
Información de impacto
Volumen
7
DOI
Número de revista
Desde la página
49
Hasta la página
59
Mes
DICIEMBRE
Ranking
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Participantes
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Centro o Instituto I+D+i: Centro de tecnología Biomédica CTB