In JoVE (4)
- Using Tomoauto: A Protocol for High-throughput Automated Cryo-electron Tomography
- Knowledge Based Cloud FE Simulation of Sheet Metal Forming Processes
- Optimized Setup and Protocol for Magnetic Domain Imaging with In Situ Hysteresis Measurement
- In Vitro Growth of Mouse Preantral Follicles Under Simulated Microgravity
Other Publications (1)
Articles by Jun Liu in JoVE
Using Tomoauto: A Protocol for High-throughput Automated Cryo-electron Tomography Dustin R. Morado1, Bo Hu1, Jun Liu1 1Department of Pathology and Laboratory Medicine, University of Texas Health Science Center at Houston We present a protocol on how to utilize high-throughput cryo-electron tomography to determine high resolution in situ structures of molecular machines. The protocol permits large amounts of data to be processed, avoids common bottlenecks and reduces resource downtime, allowing the user to focus on important biological questions.
Knowledge Based Cloud FE Simulation of Sheet Metal Forming Processes Du Zhou1, Xi Yuan1, Haoxiang Gao1, Ailing Wang1, Jun Liu1, Omer El Fakir1, Denis J. Politis1, Liliang Wang1, Jianguo Lin1 1Department of Mechanical Engineering, Imperial College London The following paper presents a novel FE simulation technique (KBC-FE), which reduces computational cost by performing simulations on a cloud computing environment, through the application of individual modules. Moreover, it establishes a seamless collaborative network between world leading scientists, enabling the integration of cutting edge knowledge modules into FE simulations.
Optimized Setup and Protocol for Magnetic Domain Imaging with In Situ Hysteresis Measurement Jun Liu1, John Wilson2, Claire Davis1, Anthony Peyton2 1Advanced Steel Research Centre, Warwick Manufacturing Group, University of Warwick, 2School of Electrical and Electronic Engineering, University of Manchester This paper elaborates the sample and sensor preparation procedures and the protocols for using the test rig particularly for dynamic domain imaging with in situ BH measurements in order to achieve optimal domain pattern quality and accurate BH measurements.
In Vitro Growth of Mouse Preantral Follicles Under Simulated Microgravity Shen Zhang1, Yonggen Wu1, Yimin Weng2, Zhihui Xu1, Wenmin Chen3, Dahan Zheng4, Wei Lin5, Jun Liu6, Ying Zhou1,7 1Reproductive Medicine Center, The First Affiliated Hospital of Wenzhou Medical University, 2Department of Orthopaedics, The Second Affiliated Hospital of Wenzhou Medical University, 3Department of Obstetrics, The First Affiliated Hospital of Wenzhou Medical University, 4School of Laboratory Medicine and Life Science, Wenzhou Medical University, 5School of Pharmaceutical Science, Wenzhou Medical University, 6Stem Cells and Genetic Engineering Group, AgriBioscience Research Centre, Department of Economic Development, Jobs, Transport and Resources, 7Department of Histology and Embryology, Wenzhou Medical University A highly promising technique to generate tissue constructs without using matrix is to culture cells in a simulated microgravity condition. Using a rotary culture system, we examined ovarian follicle growth and oocyte maturation in terms of follicle survival, morphology, growth, and oocyte function under the simulated microgravity condition.
Other articles by Jun Liu on PubMed
It's All About the Money? A Qualitative Study of Healthcare Worker Motivation in Urban China International Journal for Equity in Health. | Pubmed ID: 28687089 China's healthcare reform programme continues to receive much attention. Central to these discussions has been how the various financial incentives underpinning reform efforts are negatively impacting on the healthcare workforce. Research continues to document these trends, however, qualitative analysis of how these incentives impact on the motivation of healthcare workers remains underdeveloped. Furthermore, the application of motivational theories to make sense of healthcare worker experiences has yet to be undertaken.