Cell Simulation for Validation of Cell Micrograph Evaluation Algorithms
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The evaluation of biological microscopy experiments is a large subfield in image processing. Many methods have been published, which are specially designed for a certain microscopy technique or even for a single experiment. Usually they are evaluated with user annotated data which is prone to errors and, thus, shows interand intraobserver variance. We present a simulation software capable to generate micrographs with known ground truth of various microspcopy techniques for an unbiased and objec-
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