Related Experiment Video
Updated: Aug 7, 2026

07:57
Fish Sperm Assessment Using Software and Cooling Devices
Published on: July 28, 2018
An automatic semen processing system versus a manual method for semen processing: a randomized, single-blind
Qiuxia Yan1, Chen Zeng1, Guozhi Zhang1
1Center for Reproductive Medicine, The Affiliated Qingyuan Hospital (Qingyuan People's Hospital), Guangzhou Medical University, Guangdong Engineering Technology Research Center of Urinary Continence and Reproductive Medicine, Qingyuan, China.
Frontiers in Endocrinology
|August 6, 2026
Summary
An automated semen processing system matches manual methods for sperm recovery rates, offering improved efficiency and consistency in assisted reproductive technology labs. This innovation reduces technician workload and enhances overall clinical performance.
Area of Science:
- Reproductive Medicine
- Laboratory Science
- Biotechnology
Background:
- Traditional manual semen processing via density gradient centrifugation (DGC) is labor-intensive, time-consuming, and prone to variability.
- Assisted reproductive technology (ART) laboratories seek efficient and reliable methods for semen processing.
Purpose of the Study:
- To evaluate the effectiveness and repeatability of an automated semen processing system.
- To compare the automated system against the standard manual DGC method.
Main Methods:
- 110 male participants' semen samples were divided into automated and manual processing groups.
- Progressively motile sperm recovery rate was the primary outcome, compared using independent t-tests.
- Repeatability was assessed using intraclass correlation coefficient, coefficient of variation, and Bland-Altman analysis.
Main Results:
- The automated system was non-inferior to the manual method for progressively motile sperm recovery rate (42.26-42.40% vs. 41.64%).
- Post-processing motile sperm percentage was significantly higher with the automated system (62.06-62.63% vs. 58.83%, P<0.001).
- Excellent repeatability was observed with high intraclass correlation (0.95) and strong agreement in Bland-Altman analysis.
Conclusions:
- The automated semen processing system demonstrates non-inferiority and high repeatability compared to manual DGC.
- This automated system can reduce technician workload and improve efficiency in ART laboratories.
- The system shows consistency and potential to meet clinical needs effectively.

