Assessment of Human Sperm Kinematic Parameters Using Computer-Assisted Semen Analysis

Infertility affects approximately 15% of couples trying to conceive, as reported by the World Health Organization. It is diagnosed when conception does not occur despite unprotected intercourse over the course of at least one year. The spermiogram test is a fundamental tool for identifying whether infertility originates from the male or female partner. Traditionally, sperm analysis is performed manually in reproductive clinics and laboratories, which may lead to variability in results due to subjective technician eval-uations. Recent advancements have introduced computer-assisted systems with image processing capabilities to enhance sperm quality analysis. This study presents a novel computer-assisted sperm analysis (CASA) system designed to evaluate sperm motility through digital micrographs, utilizing 14 distinct kinematic parameters. The algorithms and parameters developed offer a quantitative approach to characterizing infertility.