Non-invasively predicting euploidy in human blastocysts via quantitative 3D morphology measurement: a retrospective cohort study

G Shan, K Abdalla, H Liu, C Dai, J Tan, J Law… - Reproductive Biology …, 2024 - Springer
Background Blastocyst morphology has been demonstrated to be associated with ploidy
status. Existing artificial intelligence models use manual grading or 2D images as the input …

Deep-Learning-Based Automated Morphology Analysis With Atomic Force Microscopy

Y Chang, Z Liu, Y Wu, Y Fang - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Morphology analysis based on atomic force microscopy (AFM) imaging contributes to
understanding the characteristics of specimens more deeply. The preliminary and crucial …

Overview of Robotic Reproductive Cell Manipulation

C Dai, Y Sun - Robotic Manipulation of Reproductive Cells, 2024 - Springer
Recent decades witness significant advances in assisted reproduction, with over eight
million children born by assisted reproduction up to now. Several milestones during the …

Autofocusing for Cleavage-stage Embryos in Brightfield Microscopy: Towards Automated Preimplantation Genetic Testing

S Yao, K Wu, L Qi, F Yang, Q Feng - International Conference on …, 2023 - Springer
Autofocusing is essential and serves as a prerequisite for the automation of embryo biopsy
in preimplantation genetic testing (PGT) using robotics. Despite the existence of numerous …

Robotic Embryo Characterization and Manipulation

C Dai, Y Sun - Robotic Manipulation of Reproductive Cells, 2024 - Springer
Embryo morphology characterization plays an important role in its quality evaluation and
selection for transfer. Traditional embryo observation is limited to 2D, lacking comprehensive …