Tracking the swimming of self-propelling spermatozoa using computer assisted semen analysis techniquesto determine the effect of vibration on spermatozoids

Abstract

Human sperm motility is of great interest to researchers and biologists studying sperm function and to medical practitioners evaluating and treating male in-fertility. Computer-assisted semen analysis (CASA) instruments are used to trace the swimming paths of sperm automatically in time-lapse microscopy image sequences connect-the-dots between video frames, enabling rapid automatic quantification of sperm motility parameters for hundreds of cells at a time. The image processing and sperm tracking capabilities of today’s CASA instruments can be enhanced However. In this paper we highlighted the limitations of (CASA) instruments and suggested ways to mitigate them from the literature. We have also our algorithm ‒ program complex to determine linear velocity in Java. With all these efforts in further improving the computational tools for CASA, much more robust and versatile systems should be available in the foreseeable future.