Assistive reproductive technology (ART) involves medical procedures through the use of technology that help improve success rates in infertility treatments such as IVF. Intracytoplasmic sperm injection (ICSI) is another procedure, where a single healthy sperm is injected into an egg in a laboratory. Current ICSI process involves the use of manually operated machinery and the use of a microscope, leading to low success rates due to inconsistencies and likely damages to the egg. Researchers at the University of Birmingham have pioneered an effective and fully automated AI-based patented technology with a real potential to significantly increase the infertility treatment success rate by automating the ICSI procedure.
This PhD project involves developing the mechatronics and control strategies and design of an automated, computer-controlled ICSI medical device capable of AI-based visual servoing and precision micromanipulation of gametes. The project is supported by clinical and industrial partners. Some expertise and interest in one or more of the following skills are required: robotics/automation, computer control of machines, software/hardware/computer interfacing, mechatronics and control, computer vision recognition/tracking, machine learning/deep learning.