Image-based Simulations of Tubular Network Formation
| Authors | |
|---|---|
| Year of publication | 2020 |
| Type | Article in Proceedings |
| Conference | 17th IEEE International Symposium on Biomedical Imaging |
| MU Faculty or unit | |
| Citation | |
| web | http://2020.biomedicalimaging.org/ |
| Doi | http://dx.doi.org/10.1109/ISBI45749.2020.9098736 |
| Keywords | Light Microscopy; Confocal Microscopy; Fluorescence Microscopy; Cells & molecules; Image synthesis |
| Description | The image-based simulations in biomedicine play an important role as the real image data are difficult to be fully and precisely annotated. An increasing capability of contemporary computers allows to model and simulate reasonably complicated structures and in the last years also the dynamic processes. In this paper, we introduce a complex 3D model that describes the structure and dynamics of the population of endothelial cells. The model is based on standard cellular Potts model. It describes the formation process of a complex tubular network of endothelial cells fully in 3D together with the simulation of the cell death called apoptosis. The generated network imitates the structure and behavior that can be observed in real phase-contrast microscopy. The generated image data may serve as a benchmark dataset for newly designed detection or tracking algorithms. |
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