4D Cellular Morphology Atlas Construction Simultaneously Reveals Shape-adhesion Patterns During Embryogenesis

3D Shape Training: Ground truth (GT) for training membrane recognition (TUNETr) 3D Shape Evaluation: GT for evaluation and comparison of segmentation 2D Time-lapse Evaluation: GT for time-lapse embryos (cell morphology map) Nuclei Generative Training: GT for training m2nGAN (pseudo nuclei image generation) with real stained fluorescence images Nuclei Generative Evaluation: GT for evaluating m2nGAN (pseudo nuclei image generation) with real stained fluorescence images Shape-adhesion E-cadherin: Dataset for discovering shape-adhesion patterns CTransformer (mainly TUNETr) Code Link: https://github.com/chiellini/CTransformer m2nGAN Code Link: https://github.com/chiellini/m2nGAN Image Processing Python Script Link: https://github.com/chiellini/CImageProcessor Visualization Python Script Link: https://github.com/chiellini/GUIData