Cells segmentation from 3-D confocal images of early zebrafish embryogenesis

We designed a strategy for extracting the shapes of cell membranes and nuclei from time lapse confocal images taken throughout early zebrafish embryogenesis using a partial-differential-equation-based segmentation. This segmentation step is a prerequisite for an accurate quantitative analysis of cel...

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Detalles Bibliográficos
Autores principales: Zanella, C., Campana, M., Rizzi, B., Melani, C., Sanguinetti, G., Bourgine, P., Mikula, K., Peyrieras, N., Sarti, A.
Formato: JOUR
Materias:
Bioimaging
Confocal imaging
Image processing
Segmentation
Subjective surfaces
Algorithm validation
Automated algorithms
Bio-imaging
Biological process
Cell shapes
Classical methods
Confocal image
Edge preserving
Embryonic cells
Image features
Morphodynamics
Quantitative analysis
Sub-cellular
Zebrafish
Zebrafish embryos
Cell membranes
Cytology
Imaging systems
Signal to noise ratio
Three dimensional
Edge detection
algorithm
animal
animal embryo
article
cell division
cell membrane
cell nucleus
cell shape
cytology
image processing
methodology
prenatal development
reproducibility
zebra fish
Algorithms
Animals
Cell Division
Cell Membrane
Cell Nucleus
Cell Shape
Embryo, Nonmammalian
Image Processing, Computer-Assisted
Reproducibility of Results
Acceso en línea:http://hdl.handle.net/20.500.12110/paper_10577149_v19_n3_p770_Zanella
Aporte de:
Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) de Universidad de Buenos Aires

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