Live Cell Imaging and Sensing Chip Team

Live Cell Imaging and Sensing Chip Team

Team Leader: Professor Liu Bo

Introduction: The Live Cell Imaging and Sensing Chip team is headed by Professor Liu Bo. Members include Associate Professor Zhang Hangyu, Associate Professor Li Na, and Assistant Professor Shao Shuai (to be appointed). The team's main research focus is on intelligent medical detection technology. With well-equipped laboratories and standard cell culture rooms, the team is capable of meeting the experimental requirements at different scales, such as studies on sub-clones, proteins, and cells. In recent years, the members have undertaken 7 projects (as primary investigators) funded by the National Natural Science Foundation, 2 sub-projects of the National Key Research and Development Program, and 2 key project sub-topics. They have published over a hundred papers and applied for more than 30 national invention patents, of which two have been commercialized. Additionally, they have signed technical cooperation agreements with multiple companies. The FRET probe developed by the team has been promoted for wide use in over twenty renowned international research institutions. Relevant work has been published in journals like Communications Biology in the Nature series, iScience in the Cell series', the official journal of the International Society of Toxicology, Toxicological Sciences, and the Journal of Materials Chemistry B in the field of biomaterials.

Team Members:

· Liu Bo: Professor, PhD Supervisor

· Zhang Hangyu: Associate Professor, Master's Supervisor

· Li Na: Associate Professor, Master's Supervisor

· Shao Shuai: Assistant Professor (to be appointed)

Research Direction: The team primarily conduct research in the interdisciplinary fields integrating engineering, informatics, biomechanics, biomaterials, tissue engineering, and pharmacology. Studies carried out are mainly related to early detection and diagnosis of major diseases like cardiovascular diseases and tumors, disease mechanisms, biosensor design and applications, and tissue-engineered models.