Articles by Zhongnan Li in JoVE
Optogenetic Functional MRI Peter Lin1, Zhongnan Fang2, Jia Liu1, Jin Hyung Lee1,2 1Neurology and Neurological Sciences, Stanford University, 2Electrical Engineering, Neurology and Neurological Sciences, Stanford University This protocol describes the steps and data analysis required to successfully perform optogenetic functional magnetic resonance imaging (ofMRI). ofMRI is a novel technique that combines high-field fMRI readout with optogenetic stimulation, allowing for cell type-specific mapping of functional neural circuits and their dynamics across the whole living brain.
Fabricating High-viscosity Droplets using Microfluidic Capillary Device with Phase-inversion Co-flow Structure Jiang Li1, Jia Man2, Zhongnan Li2, Haosheng Chen2 1School of Mechanical Engineering, University of Science and Technology Beijing, 2State Key Laboratory of Tribology, Tsinghua University A phase-inversion co-flow device is demonstrated to generate monodisperse high-viscosity droplets above 1 Pas, which is difficult to realize in droplet microfluidics.
Other articles by Zhongnan Li on PubMed
Microfluidic Generation of High-Viscosity Droplets by Surface-Controlled Breakup of Segment Flow ACS Applied Materials & Interfaces. Jun, 2017 | Pubmed ID: 28589716 Fluids containing high concentration polymers, sols, nanoparticles, etc., usually have high viscosities, and high-viscosity fluids are difficult to be encapsulated into uniform droplets. Here we report a surface-controlled breakup method to generate droplets directly from various aqueous and nonaqueous fluids with viscosities of 1.0 to 11.9 Pa s and a dispersed-to-continuous viscosity ratio up to 1000, whereas the volume fraction of droplets up to 50% can be achieved. It provides a straightforward method to encapsulate high viscosity fluids, in a well-controlled manner in the rapid developing droplet-based applications, including materials synthesis, drug delivery, cell assay, bioengineering, etc.