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Updated: Jun 14, 2026

Sperm Collection of Differential Quality Using Density Gradient Centrifugation

Sperm Collection of Differential Quality Using Density Gradient Centrifugation

Published on: November 29, 2018

Sperm count. Do we need a new reference value?

Walter Cardona Maya¹

¹Grupo Reproducción, Universidad de Antioquia, Medellín, Colombia. wdcmaya@medicina.udea.edu.co

Archivos Espanoles De Urologia

|April 1, 2010

Summary

This summary is machine-generated.

Sperm counts are significantly lower in infertile men compared to fertile men and the general population. This study establishes a reference value for normal sperm count at approximately 65 million/mL.

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Area of Science:

Reproductive Health
Andrology
Human Fertility Studies

Background:

Sperm count is a key indicator of male fertility.
Variations in sperm count exist across different populations and fertility statuses.
Establishing reliable reference values for sperm count is crucial for clinical diagnosis.

Purpose of the Study:

To evaluate and compare sperm counts in fertile, infertile, and general population men globally.
To determine a reference value for normal sperm count.
To assess the proportion of infertile men falling below this reference value.

Main Methods:

Systematic review and analysis of sperm count data.
Categorization of men based on fertility status: proven fertility, infertility clinic recruitment, or healthy controls.
Data compilation from studies across different geographical regions.

Main Results:

Infertile men exhibit significantly lower average sperm counts than fertile men (p>0.001).
Sperm counts in infertile men are also lower than in the general population (p>0.001).
A normal sperm count reference value was determined to be approximately 65 million/mL.

Conclusions:

The established reference value for normal sperm count is approximately 65 million/mL.
A significant majority (75%) of studies on fertile men exceed this threshold.
Only 25% of studies involving infertile men meet or exceed the 65 million/mL reference value, highlighting a potential diagnostic gap.