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The existence of benchmark datasets is essential to objectively evaluate various image analysis methods. Nevertheless, manual annotations of fluorescence microscopy image data are very laborious and not often practicable, especially in the case of 3D+t experiments. In this work, we propose a simulation system capable of generating 3D time-lapse sequences of single motile cells with filopodial protrusions,...
The proper analysis of biological microscopy images is an important and complex task. Therefore, it requires verification of all steps involved in the process, including image segmentation and tracking algorithms. It is generally better to verify algorithms with computer-generated ground truth datasets, which, compared to manually annotated data, nowadays have reached high quality and can be produced...
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 realistic 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,...
The simulation plays an important role in biomedical image analysis as it can inherently provide large collections of image data with absolute ground truth. Compared to real image data typically annotated by some expert, the computer generated data still lacks the authenticity due to the simplifications of various natural phenomena. In this paper, we focus on simulating the photobleaching effect and...
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