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Guoye Guan, Kai Kang, Ming-Kin Wong, Vincy Wing Sze Ho, Zhongying Zhao, Chao Tang (Peking University)
Cellular morphology, such as cell-cell contact and cell volume, is associated with many critical biological activities during metazoan development. However, it’s still difficult to be captured directly by membrane-based fluorescence and imaging in most cases, especially for the multicellular systems with large cell number and small cell size. Many researches on nematode (e.g., Caenorhabditis elegans) embryogenesis utilized nucleus tracking and Voronoi algorithm to reconstruct the 3D time-lapse embryonic morphology at single-cell resolution, but the confidence level of such predictive outcomes remains elusive. In this work, we use C. elegans as model organism and establish a computational pipeline for cell segmentation based on nucleus tracking and Voronoi algorithm. Then, a total of 17 C. elegans wild-type embryos with distinguishable membrane signal and accurate region segmentation are adopted as ground truth, which were recently generated and documented in a public dataset. After setting an eggshell boundary and excluding the dramatic cytokinesis, we perform nucleus-based Voronoi segmentation on those embryos from 4- to 24-cell stage and compare the results with ground