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Tuberculosis is an ancient disease; however, the molecular mechanism of tuberculosis pathology is not completely elucidated yet. In our research we aim to contribute to the understanding of the genes/proteins that are involved in the infection. As a model for the infection study we use the bacterium Mycobacterium marinum, which is closely related to Mycobacterium tuberculosis, the causative agent of tuberculosis in humans. M. marinum causes tuberculosis like disease and is applied to the zebrafish larva as a model (host) organism. We are using a novel pattern recognition framework which allows for in depth analysis of the spread of infection within the zebrafish organism. The amount of infection has been analyzed. However, in depth analysis of the spatial distribution was not yet accomplished. Therefore, as a proof of concept we investigate the presence of specific spatial and quantitive infection patterns.

NUMERICAL ANALYSIS OF IMAGE BASED HIGH THROUGHPUT ZEBRAFISH INFECTION SCREENS - Matching Meaning with Data