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Establishment of morphological atlas of Caenorhabditis elegans embryo with cellular resolution using deep-learning-based 4D segmentation
View ORCID ProfileJianfeng Cao, Guoye Guan, Ming-Kin Wong, Lu-Yan Chan, Chao Tang, Zhongying Zhao, Hong Yan
doi: https://doi.org/10.1101/797688
Jianfeng Cao
1Department of Electrical Engineering, City University of Hong Kong, Hong Kong, China
Guoye Guan
2Center for Quantitative Biology, Peking University, Beijing, China
Ming-Kin Wong
3Department of Biology, Hong Kong Baptist University, Hong Kong, China
Lu-Yan Chan
3Department of Biology, Hong Kong Baptist University, Hong Kong, China
Chao Tang
2Center for Quantitative Biology, Peking University, Beijing, China
4Peking-Tsinghua Center for Life Sciences, Peking University, Beijing, China
5School of Physics, Peking University, Beijing, China
Zhongying Zhao
3Department of Biology, Hong Kong Baptist University, Hong Kong, China
6State Key Laboratory of Environmental and Biological Analysis, Hong Kong Baptist University, Hong Kong, China
Hong Yan
1Department of Electrical Engineering, City University of Hong Kong, Hong Kong, China
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Posted October 08, 2019.
Establishment of morphological atlas of Caenorhabditis elegans embryo with cellular resolution using deep-learning-based 4D segmentation
Jianfeng Cao, Guoye Guan, Ming-Kin Wong, Lu-Yan Chan, Chao Tang, Zhongying Zhao, Hong Yan
bioRxiv 797688; doi: https://doi.org/10.1101/797688
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