From Life Origins to the Heart: Medical Robotic Systems for Advanced Healthcare
Jun Liu, PHD
Post Doc Fellow-Cornell University
BME/Robotics Faculty Candidate
Infertility and cardiovascular diseases are two major healthcare problems in the urban society. The advances in biomedical research have provided innovative solutions such as in vitro fertilization and minimally invasive surgery. However, there are still some practical challenges existing in these solutions, because of the small sizes of single cells, irregular anatomical structures, and the lack of reliable imaging feedback. Therefore, novel robotic and automation technologies are required to provide fast, accurate and reliable solutions for the advanced healthcare in IVF clinics and cardiovascular centers.
This talk will introduce new automated technologies and robotic cell manipulation systems for analysis of sperm locomotive behaviors, manipulation of single embryos, and microinjection of cardiomyocytes. The applications of the robotic systems will also be covered ranging from the automated cryopreservation of embryos to large-scale drug screening for precision medicine. Hardware platforms and techniques such as automatically locating micropipettes, vision-based contact detection, and visual servo control will be explained. Future research directions including AR-assisted surgery and personalized healthcare will also be discussed.
Jun Liu is a Postdoc Fellow in the Dalio Institute of Cardiovascular Imaging at Cornell University. Prior to joining the Dalio Institute, he also worked in the Department of Bioengineering at Stanford University. Jun obtained his Ph.D. degree in mechanical engineering from University of Toronto in 2016, and his B.E. in Automation and B.S. in Economics from Shandong University in 2008.
His research interests include soft and medical robotics, micro-nano robotics, and medical image analysis and interaction, particularly for biomedical applications. His research has been recognized on the major robotics and automation conferences by winning multiple awards including the Best Student Paper Award and Best Medical Robotics Paper Finalist from the IEEE International Conference on Robotics and Automation, and the Gaitech Best Paper in Robotics Award from the IEEE International Conference on Information and Automation.