Presentation Authors: Vincent Tsai*, Taoyuan, Taiwan, Bin Zhuang, Shenzhen, China, People's Republic of
Introduction: According to reports of WHO, human sperm quality fluctuates at different times. Therefore, it is crucial for couples preparing for spontaneous pregnancy to monitor sperm motility. CreateCare POC testing corporation has developed the world&[prime]s first mobile phone based at-home sperm motility measurement system (Bemaner ®). This system is composed of microscope and microfluidic modules and is designed to adapt to different types of mobile phone designs and interfaces. The sperm videos are captured and uploaded to the cloud from mobile phones with our accompanied applications. Analysis of sperm motility is performed by AI sperm image recognition with cloud computing, and the results are displayed on the mobile interfaces of our customers. This study is to verify the performance of AI sperm image recognition and the cloud computation system.
Methods: According to the number of motile sperm in the vision field of each video, the forty-seven delinked sperm videos (subjects unidentified) are classified into 6 grades (0-5) by a male-fertility expert with 10 years of experience. Correlation is calculated by Excel (MicrosoftÂ® 2016) between the assessed grades and the results (concentration of motile sperm, total motility and pregnancy index) computed by AI sperm image recognition based on cloud computing.
Results: Good correlations have been shown between the assessed grades and results (concentration of motile sperm, total motility, and pregnancy index) computed by the system and the AI algorithm (v 1.0.8_5/22). The respective correlation coefficients are 0.84, 0.90, and 0.83 and our calculated p value are all below 0.01.
Conclusions: This mobile based at-home system for measuring sperm motility (BemanerÂ®) accurately measures parameters related to sperm motility, and could potentially be applied towards the following fields: male infertility detection, sperm quality detection during preparation for pregnancy, and infertility treatment monitoring. With frequent at-home testing, more datum can be collected while improving physicians to make more accurate clinical decisions.