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Related Experiment Video

Updated: Aug 31, 2025

Fish Sperm Assessment Using Software and Cooling Devices

Fish Sperm Assessment Using Software and Cooling Devices

Published on: July 28, 2018

Computer software (SiD) assisted real-time single sperm selection associated with fertilization and blastocyst

Gerardo Mendizabal-Ruiz¹, Alejandro Chavez-Badiola², Isaac Aguilar Figueroa³

¹IVF 2.0 LTD, 10 Fitzroy Square, London W1 5HP, UK; Departamento de Ciencias Computacionales, Universidad de Guadalajara, Blvd. Gral. Marcelino Garcia Barragan 1421, Olimpica, Guadalajara 44430, Mexico.

Reproductive Biomedicine Online

|August 21, 2022

Summary

This study shows that artificial vision software (SiD) can identify sperm with better motility for intracytoplasmic sperm injection (ICSI), improving fertilization and blastocyst formation rates.

Keywords:

AI sperm selection assistant AI-ICSI Artificial-vision assisted ICSI Male factor Sperm head movement patterns

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Last Updated: Aug 31, 2025

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Published on: October 18, 2024

Area of Science:

Reproductive Medicine
Assisted Reproductive Technology
Sperm Analysis

Background:

Intracytoplasmic sperm injection (ICSI) relies on embryologist selection of spermatozoa.
Objective assessment of sperm motility can enhance ICSI outcomes.

Purpose of the Study:

To investigate the association between real-time individual sperm kinematics and ICSI success.
To evaluate the utility of a novel artificial vision-based software (SiD V1.0) in sperm selection for ICSI.

Main Methods:

Video recording of ICSI procedures.
Retrospective analysis of 383 spermatozoa from 78 cycles using SiD V1.0 software.
Quantification of sperm parameters: straight-line velocity (VSL), linearity (LIN), and head movement pattern (HMP).

Main Results:

Significant differences in VSL, LIN, and HMP were observed in spermatozoa selected for injection (P < 0.001).
LIN and HMP differed significantly between successful and unsuccessful fertilization (P=0.038, P=0.029).
Higher SiD scores correlated with successful fertilization (P=0.004) and blastocyst formation (P=0.013).

Conclusions:

Real-time analysis of individual sperm kinematics using automated tools like SiD can aid embryologists.
This technology has the potential to improve sperm selection for ICSI procedures.
Objective sperm assessment may lead to better assisted reproductive technology outcomes.