In fluorescence microscopy, where the benchmark datasets for validating the various image analysis methods are difficult to obtain, a great demand is either for manually annotated real image data or for computer generated ones. In the last two decades, the latter case has become more and more accessible due to an increasing computer capabilities. However, the development of elaborate models, especially in the field of fluorescence microscopy imaging, is less progressive. In this paper, we propose a novel approach, based on well established concepts, to properly imitate the structure of chromatin inside the cell nucleus as well as its dynamics. The performance of the approach was quantitatively evaluated against the real data. The results show that the produced images are sufficiently plausible and visually resemble their real counter parts, both for fixed and living cells.