Scanning of the Meiotic Spindle in Assisted Reproductive Techniques for assessment of oocyte quality and embryo ploidy evaluated by AI (SMART study) (SMART)

In this project we will use AI to find the oocyte quality and embryo ploidy from the sequence of the data starting from the recording of the meiotic spindle in polarized light, through paternal factors up to the time lapse record of early embryo development. The trained artificial intelligence will allow non-bias evaluation to suggest appropriate assisted reproduction treatment. Firstly, the standard clinical procedure for determining the quality of the oocyte from the oocyte MS image in polarized light will be extended by the automatic recognition by AI of quality oocytes. Secondly, the non-invasive determination of the genetic quality of the embryo with the help of AI. The accuracy of determining the genetic quality of the embryo will be increased by a complex chain of data: from the display of the oocyte (division of the spindle), through the biochemical determination of the quality of the sperm, and after the time-lapse recording of the development of the embryo. Determining which of the selected paternal factors to a relevant degree will increase the effectiveness of determining the genetic quality of the embryo with the help of AI.