Abstract (EN):
The ability of cells to proliferate and consequently, generate more cells, is crucial for the existence and continuation of life, but the process complexity has not been fully understood yet. Computational simulations have emerged as an important tool in scientific research to study the process of cell proliferation. Various models have been developed in recent years to simulate different aspects and specific parts of this process. In this study, the main objective was to develop a novel 3D algorithm using the Smoothed Particle Hydrodynamics method to simulate cell proliferation, which includes the process of cell growth and the process of cell division. The algorithm was validated and calibrated for both individual cells and cell clusters, focusing on volume growth, reproducibility, and specific characteristics such as diameter, volume, and shape of the cell cluster. The algorithm successfully simulated the growth and division processes in these two analyses, producing consistent results across all simulations that were performed. Furthermore, the obtained results aligned with the expectations and findings described in the existing literature. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2023.
Language:
English
Type (Professor's evaluation):
Scientific
No. of pages:
8