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A generic classification-based method for segmentation of nuclei in 3D images of early embryos
2014
BMC Bioinformatics
Studying how individual cells spatially and temporally organize within the embryo is a fundamental issue in modern developmental biology to better understand the first stages of embryogenesis. In order to perform high-throughput analyses in three-dimensional microscopic images, it is essential to be able to automatically segment, classify and track cell nuclei. Many 3D/4D segmentation and tracking algorithms have been reported in the literature. Most of them are specific to particular models or
doi:10.1186/1471-2105-15-9
pmid:24423252
pmcid:PMC3900670
fatcat:y5r7pkxijrgojdyix2llyxqvma