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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.
List 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
About the author
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.Dr. Guanqiao Shan is a Professor at Dalian University of Technology. His research interests include robotic cell manipulation and characterization, automation at micro-nano scales, intelligent control systems, and medical robotics. His research has been recognized by both the robotics and automation society and reproductive medicine society.Dr. Yu Sun is a Professor at the University of Toronto. He holds a Tier I Canada Research Chair and is the founding Director of Robotic Institute at the University of Toronto. His Advanced Micro and Nanosystems Laboratory specializes in developing innovative robotic and AI technologies for reproductive medicine. His techniques have been applied in clinical centers from multiple countries.
