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Automated analysis of multi-dimensional microscopy images has become an integral part of modern research in life science. Most available algorithms that provide sufficient segmentation quality, however, are infeasible for a large amount of data due to their high complexity. In this contribution we present a fast parallelized segmentation method that is especially suited for the extraction of stained nuclei from microscopy images, e.g., of developing zebrafish embryos. The idea is to transformdoi:10.1371/journal.pone.0090036 pmid:24587204 pmcid:PMC3937404 fatcat:5hunpa7k6vc5jgbjthn2x5pesm