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Variation in semen parameters derived from computer-aided semen analysis, within donors and between donors
J G Wijchman1, B T de Wolf, R Graafe
1Department of Obstetrics and Gynaecology, University Hospital and University of Groningen, The Netherlands. j.g.wijchman@og.azg.nl
Journal of Andrology
|September 8, 2001
Summary
Computer-aided semen analysis (CASA) reveals significant variations in sperm motility between donors. Measuring more subjects, rather than more samples per subject, is more efficient for determining population means in sperm characteristics.
Area of Science:
- Reproductive Biology
- Andrology
- Biostatistics
Background:
- Computer-aided semen analysis (CASA) enables objective, longitudinal study of sperm motility.
- Understanding variations in semen parameters is crucial for fertility assessment.
Purpose of the Study:
- To investigate the frequency distributions of seven semen parameters using CASA.
- To analyze within-donor and between-donor variations in sperm motility.
- To determine the efficiency of subject versus sample number for population mean determination.
Main Methods:
- A 2-year study involving 8 sperm donors.
- Utilized CASA to measure concentration, motility percentage, and various velocity parameters.
- Employed analysis of variance and Fisher's discriminant analysis.
Main Results:
- Semen parameters, except concentration (log-normal), followed normal distributions.
- Between-donor variation was substantial and not explained by within-donor longitudinal variation.
- Strong correlations existed between the seven measured parameters.
- Each donor exhibited a unique "motility signature."
Conclusions:
- Sperm motility characteristics show significant inter-individual variability, potentially limiting their use in fertility establishment.
- A donor's semen profile is highly individualistic.
- Increasing the number of subjects is more efficient than increasing sample numbers per subject for establishing population means.