Computation-based bio-imagingand drug discovery
University ofCalifornia, Los Angeles
Abstract: Multi-dimensional imaging on large, thick fluorescentbiological specimens is of great interest to modern life science, such asdevelopmental biology, tissue engineering, etc.For instance, in an invitro3D tissue culture case, to precisely follow the developing events, such as differentiation,proliferation, migration, inside a 3 dimensional, time-variant microenvironment, spatiotemporal pattern of gene and protein expression spanningfrom micron-scale (single-cell) to millimeter-scale (multi-cellular) need to becompletely visualized. This sort of visualization demands featured by mappinghigh resolution protein localization patterns multi-dimensionally in large,living organisms pose big challenges to modernlight microscopy techniques, due to their limitations on penetration depth andintrinsic compromise between large field-of-view and high resolution. Weintroduce a novel method that integrate the GPU parallel image computation withemerging light sheet microscopy, to achieve isotropic subcellular resolutionover macro-level whole organism. This “simplified hardware plus enhancedcomputation” routine provides a cost-effective way to meet high-end bio-imagingdemands, and has been applied to a variety of life science applications, suchas developmental biology, tissue engineering, and regenerative medicine,etc.
Biography: Dr. Peng Fei obtained his Ph.D. from thePeking University in 2012 and then joined the UCLA, school of engineering,school of medicine as PostDoc fellow. Dr. Peng Fei is currently professor inschool of optical and electronic information, Huazhong University of Scienceand Technology (HUST). His research interests includes novel super resolutionmicroscopy, computation based biology and cancer drug discovery. He published16 journal papers, which have been cited over 900 times. His H-index is 12 andhis research had been highlighted by several news report, such as Nature Photonics,MIT technique review, FOX news, etc. He is also the chief scientist of the 863program on 3D packaging of MEMS and invited reviewer for several of journals,such as Plos One, Biomaterials, Sensors & Actuators.
SELF-PoWERED EnvironmentalSYSTEMs based on triboelectric nanogenerators
Dr. Wei Tang (唐伟 博士)
Beijing Institute ofNanoenergy and Nanosystems, CAS
中国科学院北京纳米能源与系统研究所 Email: email@example.com
Abstract: Harvesting energy from the ambient environment is of significantimportance for portable electronics, the internet of things, self-powered applications and so on. In this field, the triboelectric nanogenerator(TENG) is demonstrated to be a focal research subject recently for its highpower output. This talk will givesome views about self-powered environmental systems by integrating TENGs with electrochemicalapplications. Basedon the optimization of the TENG’s structure and the following circuit, the TENG’s poweroutput can be modulated. These power-managed TENGs are therefore applied insome self-powered environmental applications, including water splitting, metal anti-corrosion,as well as air cleaning.
唐伟， 2013年毕业于北京大学微电子系，获理学博士学位。博士期间主要从事摩擦纳米发电机和微机电系统(MEMS)方面的研究。随后，进入中国科学院北京纳米能源与系统研究所王中林院士课题组，继续开展摩擦纳米发电机、微/纳机电系统和自供能物联网技术等方面的基础和应用研究。作为骨干成员参加了北京市自然科学基金，并获得中国博士后基金一等资助。发表Adv. Mater., Adv. Func. Mater., ACS Nano, Nano Energy等SCI论文30余篇,其中第一作者10篇。