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Unsupervised Methods for Fly Sperm Motility Analysis


Standard methods of sperm cell motility analysis involve the tracking of single cells and determining overall motility and velocity of the cells. For Drosophila, an important model organism for reproduction and genetic studies, such methods cannot be applied due to the large size and entanglement of the sperm cells, which makes single cell motion challenging and has not been achieved with current video analysis methods. We propose two metrics which can be used to numerically quantify this motility. To evaluate the efficacy of these metrics, a synthetic data set and accompanying ground-truth metrics are developed.