Supplementary Figure 12: Point cloud model generation and tomographic imaging along the V-D and the L-R body axis in histology sectioning order and in time course. (A) The point cloud model was generated from the 3-dimensional Voronoi diagrams for each progenitor cell population. In doing so, we were able to standardize and normalize the data for Biometrics and Bioinformatics analysis. (B) The point cloud models were then assembled and color coded according to cell lineage identity. Three views of the virtual embryo model from different angles were presented.(C) in silico histological sectioning graphics were generated with the point cloud model along the A-P, the L-R and the V-D body axis. Representative slice graphics showed the patterns of complex tissue boundaries, where each cell population has the direct interactions with multiple populations.(D) Serial section graphics in time course were generated from the point cloud model. Representative slice graphics obtained at different time points were presented. The pattern of tissue boundary evolves as the gene expression pattern in the morphogenetic domain changes dynamically. Cells behave collectively for coordinated proliferation, migration, polarization and self-assembly into continuous morphological structures, which happens in a highly orderly fashion in space and time.