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This is the first book to focus on robotic reproductive cell manipulation. It provides readers with the fundamental principles underpinning robotic manipulation of reproductive cells, including sperm, oocytes, and embryos, state-of-the-art technical advances in actuation, sensing and control for cell manipulation, and emerging automated systems for reproductive cell manipulation. The methods presented in the book are generic and can be translated to manipulating other types of cells, such as cancer cells and cardiomyocytes. Robotic Manipulation of Reproductive Cells will be an essential…mehr

Produktbeschreibung
This is the first book to focus on robotic reproductive cell manipulation. It provides readers with the fundamental principles underpinning robotic manipulation of reproductive cells, including sperm, oocytes, and embryos, state-of-the-art technical advances in actuation, sensing and control for cell manipulation, and emerging automated systems for reproductive cell manipulation. The methods presented in the book are generic and can be translated to manipulating other types of cells, such as cancer cells and cardiomyocytes.
Robotic Manipulation of Reproductive Cells will be an essential reference for graduate students and researchers working on small-scale robotic systems for cell manipulation and characterization, healthcare professionals interested in nanoscale, microscale, milli-scale robotic techniques for clinical cell surgeries and assisted reproduction, and engineers developing small-scale robotic systems for biomedical engineering, biology,and medicine.
Autorenporträt
Changsheng Dai, Ph.D., is a Professor at the Dalian University of Technology. Before that, he was a postdoctoral fellow at the University of Toronto (U of T). He received his Ph.D. from U of T in 2020. His research focuses on robotic cell manipulation and medical image analysis. Dr. Dai has published peer-reviewed papers in premier journals and international conference proceedings such as Nature Reviews Urology, Journal of Urology, Andrology, IEEE Transactions on Robotics, and IEEE Transactions on Medical Imaging. He received the Best Paper Award in Automation at the 2019 IEEE International Conference on Robotics and Automation (ICRA) and was a two-time recipient of the First Prize for Technical Achievement at the 2020 and 2021 Annual Meeting of the American Society of Reproductive Medicine. He was a peer reviewer for several journals, including IEEE Transactions on Robotics and IEEE Robotics and Automation Letters.  Yu Sun, Ph.D., is a Professor in the Department of Mechanical and Industrial Engineering, with joint appointments in the Institute of Biomedical Engineering, Department of Electrical and Computer Engineering, and Department of Computer Science at the University of Toronto (U of T). He is a Tier I Canada Research Chair and Director of the U of T Robotics Institute. His lab specializes in developing innovative technologies and instruments for manipulating and characterizing cells, molecules, and nanomaterials. Professor Sun is a Fellow of the Canadian Academy of Engineering (CAE) and a Fellow of the Academy of Science of the Royal Society of Canada (RSC). He is also a Fellow of the IEEE, ASME, AIMBE, AAAS, NAI, CSME, and EIC for his work on micro-nano devices and robotic systems.