%0 Journal Article %1 5280277 %A Zanella, C. %A Campana, M. %A Rizzi, B. %A Melani, C. %A Sanguinetti, G. %A Bourgine, P. %A Mikula, K. %A Peyrieras, N. %A Sarti, A. %D 2010 %J Image Processing, IEEE Transactions on %K 3d cells development embryos microscopy segmentation %N 3 %P 770-781 %R 10.1109/TIP.2009.2033629 %T Cells Segmentation From 3-D Confocal Images of Early Zebrafish Embryogenesis %U http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=5280277&navigation=1 %V 19 %X 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 cell morphodynamics during embryogenesis and it is the basis for an integrated understanding of biological processes. The segmentation of embryonic cells requires live zebrafish embryos fluorescently labeled to highlight sub-cellular structures and designing specific algorithms by adapting classical methods to image features. Our strategy includes the following steps: the signal-to-noise ratio is first improved by an edge-preserving filtering, then the cell shape is reconstructed applying a fully automated algorithm based on a generalized version of the Subjective Surfaces technique. Finally we present a procedure for the algorithm validation either from the accuracy and the robustness perspective.

@article{5280277, abstract = {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 cell morphodynamics during embryogenesis and it is the basis for an integrated understanding of biological processes. The segmentation of embryonic cells requires live zebrafish embryos fluorescently labeled to highlight sub-cellular structures and designing specific algorithms by adapting classical methods to image features. Our strategy includes the following steps: the signal-to-noise ratio is first improved by an edge-preserving filtering, then the cell shape is reconstructed applying a fully automated algorithm based on a generalized version of the Subjective Surfaces technique. Finally we present a procedure for the algorithm validation either from the accuracy and the robustness perspective.}, added-at = {2013-10-24T14:33:24.000+0200}, author = {Zanella, C. and Campana, M. and Rizzi, B. and Melani, C. and Sanguinetti, G. and Bourgine, P. and Mikula, K. and Peyrieras, N. and Sarti, A.}, biburl = {https://www.bibsonomy.org/bibtex/2023a425164530850f7a12a3416562133/alex_ruff}, description = {IEEE Xplore - Cells Segmentation From 3-D Confocal Images of Early Zebrafish Embryogenesis}, doi = {10.1109/TIP.2009.2033629}, interhash = {b125f7f87d6e33599e7f3427452de8d4}, intrahash = {023a425164530850f7a12a3416562133}, issn = {1057-7149}, journal = {Image Processing, IEEE Transactions on}, keywords = {3d cells development embryos microscopy segmentation}, number = 3, pages = {770-781}, timestamp = {2013-10-24T14:33:24.000+0200}, title = {Cells Segmentation From 3-D Confocal Images of Early Zebrafish Embryogenesis}, url = {http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=5280277&navigation=1}, volume = 19, year = 2010 }