Tubular Network Formation Process Using 3D Cellular Potts Model

The simulations in biomedical imaging serve when the real image data are difficult to be annotated or if they are of limited quantity. An increasing capability of contemporary computers allows to model and simulate complex shapes and dynamic processes. In this paper, we introduce a new model that describes the formation process of a complex tubular network of endothelial cells in 3D. This model adopts the fundamentals of cellular Potts model. The generated network of endothelial cells imitates the structure and behavior that can be observed in real microscopy images. The generated data may serve as a benchmark dataset for newly designed tracking algorithms. Last but not least, the observation of both real and synthetic time-lapse sequences may help the biologists to better understand and model the dynamic processes that occur in live cells.