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Flow Cytometric Analysis of Biomarkers for Detecting Human Sperm Functional Defects

Flow Cytometric Analysis of Biomarkers for Detecting Human Sperm Functional Defects

Published on: April 21, 2022

An efficient method for automatic morphological abnormality detection from human sperm images.

Fatemeh Ghasemian¹, Seyed Abolghasem Mirroshandel², Sara Monji-Azad²

¹Department of Biology, University of Kharazmi, Tehran, Iran.

Computer Methods and Programs in Biomedicine

|September 9, 2015

Summary

This study introduces an automated algorithm for sperm morphology analysis (SMA) to detect abnormalities in human sperm cells. The fast and accurate method achieves over 90% accuracy, aiding in male infertility diagnosis and assisted reproductive technologies.

Keywords:

Automatic analysis Human sperm Image processing Infertility Sperm defects Sperm morphometry

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Area of Science:

Reproductive Biology
Medical Imaging Analysis
Computational Pathology

Background:

Sperm morphology analysis (SMA) is crucial for diagnosing male infertility.
Accurate assessment of sperm morphology aids in identifying potential causes of infertility.
Existing methods may have limitations with low-resolution or unstained images.

Purpose of the Study:

To develop an automated algorithm for human sperm morphology analysis.
To detect and classify sperm malformations accurately.
To improve the efficiency of sperm analysis for clinical applications.

Main Methods:

The algorithm preprocesses images by removing noise and enhancing contrast.
It identifies and analyzes key sperm components like the head and tail.
The method classifies sperm as normal or abnormal, handling low-resolution and unstained images.

Main Results:

The algorithm achieved over 90% accuracy in detecting sperm abnormalities.
Tested on the human sperm morphology analysis dataset (HSMA-DS) comprising 1457 images.
Demonstrated low computation time, under 9 seconds per analysis.

Conclusions:

Automated SMA offers a rapid and accurate tool for male infertility diagnosis.
The algorithm's speed and accuracy are beneficial for embryologists during intracytoplasmic sperm injection.
Real-time sperm selection can be enhanced, potentially improving IVF outcomes.