ADVANCED SPERMATOZOA TRACKING IN MICROFLUIDICS AS PRECISE TOOL FOR LABEL-FREE SEMEN CLASSIFICATION

The potential of computer-assisted spermatozoa analysis and consequent application for a more precise clinical classification is enormous. Here, we want to give a stronger insight into motion parameters extracted from microfluidic based sperm analysis. Therefore we developed a versatile microfluidic chip -which can mimic different morpho-physic barriers of the female reproduction system- combined with a self-written analysis software based on state of the art machine learning approaches and image processing resulting in novel motion parameters.