Classification of hyperactivated spermatozoa using a robust minimum bounding square ratio algorithm

@article{Kaula2009ClassificationOH,
  title={Classification of hyperactivated spermatozoa using a robust minimum bounding square ratio algorithm},
  author={Norbert Kaula and Anneliese Amschler Andrews and Catherine Durso and Christopher M. Dixon and James K. Graham},
  journal={2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society},
  year={2009},
  pages={4941-4944}
}
A method for automatically identifying and classifying hyperactivated spermatozoa trajectories is described. This physiologically-based computerized algorithm captures the motion behavior of sperm during hyperactivation. A novel Minimum Bounding Square Ratio (MBSR) algorithm classifies spermatoza as hyperactivated, transitional or progressive. Classification boundaries were established on selected trajectory data from a single stallion and then tested on random trajectories of sperm from other… CONTINUE READING