This new method is applied on live sperm, does not require chemical dyeing, thereby preserving sperm viability.
The post shows that the AI model from Monash University's Department of Mechanical and Aerospace Engineering and the Monash IVF Foundation can analyze sperm images with more than 93% accuracy in just a few seconds. By accurately selecting the highest quality sperm without compromising their viability, this technology paves the way for standardized sperm selection through automation in IVF clinical settings.
Dr. Reza Nosrati, who led the research team, said the speed and accuracy of this AI model helps doctors make decisions faster.
Doctoral student Sahar Shahali, lead author of the work, said the technology's high adaptability makes it a versatile tool for clinics around the world.
Monash IVF Chief Scientific Officer, Professor Deirdre Zander-Fox, said the technology has huge potential to speed up and improve sperm selection outcomes.
