Robotics for Cell Manipulation and Characterization provides fundamental principles underpinning robotic cell manipulation and characterization, state-of-the-art technical advances in micro/nano robotics, new discoveries of cell biology enabled by robotic systems, and their applications in clinical diagnosis and treatment. This book covers several areas, including robotics, control, computer vision, biomedical engineering and life sciences using understandable figures and tables to enhance readers' comprehension and pinpoint challenges and opportunities for biological and biomedical research.
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Table of Contents
Part I: Robotic cell manipulation
1. Introduction of robotics for cell manipulation and characterization
2. Robotic cell injection with force sensing and control
3. Robotic orientation control and enucleation of cells
4. Robotic cell manipulation for in vitro fertilization
5. Robotic cell transport for tissue engineering
6. Robotic cell biopsy for disease diagnosis
7. 3D Force-Feedback Optical Tweezers for Experimental Biology
8. Magnetically driven robots for clinical treatment
Part II: Robotic cell characterization
9. Robotic cell electrophysiological characterization for drug discovery
10. Automated cell aspiration for genetic and mechanical analysis
11. Cell characterization by nanonewton force sensing
12. Cellular mechanical measurement by magnetic robots
13. Nanorobotics for investigating cell mechanics based on atomic force microscopy
14. Robotic manipulation of zebrafish larva for disease therapy
15. Acoustic field to separate cells for health monitoring
16. Separation and characterization of cells using electrical field
Authors
Changsheng Dai Professor, Dalian University of Technology, China. Changsheng Dai is currently a professor at Dalian University of Technology. His research focuses on robotic cell manipulation and medical image analysis. Dr. Dai has published over 20 peer-reviewed papers in premium journals and international conference proceedings such as Nature Reviews Urology, IEEE Transactions on Robotics, and IEEE Transactions on Medical Imaging, and has received the Best Paper Award in Automation at 2019 IEEE International Conference on Robotics and Automation (ICRA), Connaught International Scholarship, William Dunbar Memorial Scholarship in Mechanical Engineering, and Weber and Mariano Scholarship in Biomedical Engineering from the University of Toronto. He served as a peer reviewer for several journals such as IEEE Transactions on Robotics and IEEE Robotics and Automation Letters. Guanqiao Shan Postdoctoral Fellow, University of Toronto, Canada. Guanqiao Shan is currently a Postdoctoral Fellow at the University of Toronto. His research interests include robotic cell manipulation and characterization, automation at micro-nano scales, intelligent control systems, and medical robotics Yu Sun Professor, Department of Mechanical and Industrial Engineering, University of Toronto, Toronto, ON, Canada.Dr. Sun is a Professor at the University of Toronto. He is a Tier I Canada Research Chair and the Director of Robotic Institute, University of Toronto. His Advanced Micro and Nanosystems Laboratory specializes in developing innovative robotic and AI technologies for reproductive medicine. He was elected Fellow of ASME (American Society of Mechanical Engineers), IEEE (Institute of Electrical and Electronics Engineers), AAAS (American Association for the Advancement of Science), NAI (US National Academy of Inventors), and AIMBE (American Institute of Medicine and Biomedical Engineering) for his work on micro/nano devices, robotic systems and AI technologies.
