In JoVE (3)
Other Publications (0)
Articles by Li Chen in JoVE
High-Throughput, Multi-Image Cryohistology of Mineralized Tissues Nathaniel A. Dyment1, Xi Jiang1, Li Chen1, Seung-Hyun Hong2, Douglas J. Adams3, Cheryl Ackert-Bicknell4, Dong-Guk Shin2, David W. Rowe1 1Department of Reconstructive Sciences, University of Connecticut Health Center, 2Department of Computer Science and Engineering, University of Connecticut, 3Department of Orthopaedic Surgery, University of Connecticut Health Center, 4Department of Orthopaedics, University of Rochester In this manuscript, we present a high-throughput, semi-automated cryohistology platform to produce aligned composite images of multiple response measures from several rounds of fluorescent imaging on frozen sections of mineralized tissues.
Quantitative Localization of a Golgi Protein by Imaging Its Center of Fluorescence Mass Hieng Chiong Tie1, Bing Chen1, Xiuping Sun1, Li Cheng2,3, Lei Lu1 1School of Biological Sciences, Nanyang Technological University, 2Bioinformatics Institute, 3School of Computing, National University of Singapore The precise localization of Golgi residents is essential for understanding the cellular functions of the Golgi. However, conventional optical microscopy is unable to resolve the sub-Golgi structure. Here we describe the protocol for a conventional microscopy based super-resolution method to quantitatively determine the sub-Golgi localization of a protein.
An Automated Rapid Iterative Negative Geotaxis Assay for Analyzing Adult Climbing Behavior in a Drosophila Model of Neurodegeneration Wenze Cao*1,2,3, Li Song*1,2,3, Jingjing Cheng1,2,3, Na Yi1,2,3, Luyi Cai1,2,3, Fu-de Huang4,5, Margaret Ho1,2,3 1Research Center for Translational Medicine, Tongji University School of Medicine, 2Key Laboratory of Arrhythmias of the Ministry of Education of China, Shanghai East Hospital, Tongji University School of Medicine, 3Department of Anatomy and Neurobiology, Tongji University School of Medicine, 4Shanghai Advanced Research Institute, University of Chinese Academy of Sciences, Chinese Academy of Sciences, 5Sino-Danish College, University of Chinese Academy of Sciences, Chinese Academy of Sciences This step-by-step protocol analyzes Drosophila negative geotaxis behavior using an automated multi-cylinder system that hosts hundreds of flies and synchronizes their action by an electric motor. Upon synchronization, fly negative geotaxis behavior is assayed, digitally recorded, and analyzed using the self-designed RflyDetection software.