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Related Concept Videos

Sperm Structure and Semen Composition01:22

Sperm Structure and Semen Composition

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During ejaculation, males release around 2-5 milliliters of semen, which is a complex mixture of mature sperm and various fluids produced by accessory glands. The mature sperm cells measure approximately 60 micrometers in length and consist of a head, neck, midpiece, and tail. The head is flattened and tapered, measuring about 4 to 5 micrometers in length. It contains a nucleus with condensed chromosomes and an acrosome, a cap-like structure filled with enzymes essential for penetrating the...
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Related Experiment Video

Updated: May 4, 2026

Collection of Post-mating Semen from the Female Reproductive Tract and Measurement of Semen Liquefaction in Mice
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Evaluating Semen Parameters for Predictive Correlations Between Fresh and Delayed Analysis Using an At-Home Semen

Unika Alexander1, Denny Sakkas2, Francisco Arredondo3

  • 1Give Legacy, Inc, New York, NY, USA.

American Journal of Men'S Health
|December 24, 2025
PubMed
Summary
This summary is machine-generated.

At-home semen analysis kits can accurately predict male fertility, even with delayed testing up to 48 hours post-ejaculation. This innovation expands access to crucial male infertility assessments.

Keywords:
at-home collectionmale infertilityphysiological and endocrine disorderspredictive modelingsperm motility

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Area of Science:

  • Reproductive Medicine
  • Andrology
  • Biomarker Analysis

Background:

  • Male factor infertility affects nearly half of all cases, yet standard semen analysis is limited by logistical and psychosocial barriers.
  • Current recommendations for in-clinic analysis within 1 hour post-ejaculation restrict accessibility.
  • At-home semen collection and mail-in testing offer a promising alternative to overcome these limitations.

Purpose of the Study:

  • To evaluate the Give Legacy At-Home Semen Collection Kit for semen quality preservation over time.
  • To determine if delayed semen analyses (up to 48 hours post-ejaculation) can reliably predict baseline semen parameters.
  • To assess the clinical utility of predictive modeling for male fertility assessment using delayed samples.

Main Methods:

  • Prospective study involving 30 participants and 60 semen samples.
  • Semen samples analyzed at five time points: 30 min, 1 hr, 6 hr, 24 hr, and 30 hr post-ejaculation.
  • Development and validation of predictive models using delayed analysis data to estimate baseline motility.

Main Results:

  • Total and progressive sperm motility declined over time, with significant reductions observed after 6 hours.
  • Individuals with high total motile sperm count (TOMO) maintained higher motility across time points.
  • Predictive models accurately estimated baseline motility from delayed samples (T1-T4), demonstrating strong performance metrics (e.g., progressive motility ICC = .74).

Conclusions:

  • Semen degradation during transit is predictable, and baseline motility can be reconstructed with clinically acceptable accuracy.
  • At-home semen collection and mail-in analysis are clinically useful for male fertility assessment.
  • Predictive modeling enhances diagnostic insights for delayed testing, expanding access and maintaining diagnostic integrity.