Human sperm morphology analysis using smartphone microscopy and deep learning

      Sperm concentration, motility and morphology are among the primary measures of a semen analysis. While at-home methods for sperm concentration and motility evaluations have been developed, owing to the complexity of morphology assessments, automated microscopy-based evaluation of sperm morphology at-home has never been possible. Furthermore, all proposed alternative technologies have either been too expensive or inaccurate. An inexpensive, portable and automated sperm morphology assessment tool for at-home testing can improve access to care especially in resource limited settings.
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