Laboratory for Advanced Imaging and Sensing in the Department of Electrical and Computer Engineering at the University of Houston is directedly by Prof. Xiaonan Shan. In our lab, we develop different types of imaging and sensing techniques for various applications. The techniques we are using is mostly based on optical imaging, optical spectroscopy, electromagnetic sensing, and chemical sensing. We apply them to study the chemical, physical, and electrical responses in energy storage and conversion process, biological processes, subsurface sensing, smart sensing for infrastructure, and environmental sensing.
12.15.2021: Guangxia Feng’s paper “Full View Probe the Localized Electrochemical Environment Effects and Electrode Reaction Dynamics for Metal Batteries using In Situ 3D Microscopy” has been published in Adavanced Emergy Materials.
08.30.2021: Yaping Shi’s paper “Electrochemical Impedance Imaging on Conductive Surfaces” has been published in Anantical Chemistry.
06.30.2021: Bhagirath Joshi’s paper “Effects of fiber dosage, loading orientation and stress on frequency response of enhanced Carbon Nano-Fiber Aggregates” has been published in Composites Part B: Engineering.
12.15.2020: Yixian Wang’s (Assitant Professor at Cal State LA) paper “Plasmonic Imaging of Oxidation and Reduction of Single Gold Nanoparticles and Their Surface Structural Dynamics” has been accepted by ASC Sensors.
11.26.2020: Guangxia Feng’s paper “Stable, High-performance, Dendrite-free, Seawater-based Aqueous Batteries” has been accepted by Nature Communications.
11.13.2020: Xu Yang’s paper “Imaging the Electrochemical Impedance of Single Cells via Conductive Polymer Thin Film” has been accepted by ACS Sensors.
Xiaoliang Li’s Conference paper “Developing Through Metal Wireless Sensors in Extreme Conditions for Petroleum Industrial Applications” has been published online at Texas Symposium on Wireless and Microwave Circuits and Systems (WMCS).
◆ High sensitive plasmonic imaging platform for in situ characterization of solid electrolyte interphase
◆ 3D Morphology imaging for aqueous battery (Zn battery)
◆ UV-Vis imaging of battery reaction
◆ Raman imaging
◆ In situ Raman spectroscopy to measure CO2 reduction
◆ Single nanoparticle impedance imaging
◆ Single nanoparticle catalytic reaction
◆ Ultrafast plasmonic imaging system
◆ Functional surface plasmon imaging: measure cell metabolic activities via sub-nm membrane vibration
◆ Single cell impedance imaging Understanding the catalytic activities
◆ Soil based biomolecule and chemical sensing: detect the amoni acids, ions, and soil texture.
Dr. Xiaonan Shan
Engineering Building 2, W306
Department of Electrical and Computer Engineering
University of Houston, Houston, TX, 77204