Search Results - junchao+zhang

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Phase Unwrapping by Neural Network
This document in-part describes systems and methods that can be used to facilitate reliable and accurate phase unwrapping. The techniques that can be implemented to obtain unwrapped phase using segmentation approaches. The techniques are also robust against noises in the input data, thereby providing fast and reliable unwrapped phase results. Background:...
Published: 3/11/2019   |   Inventor(s): Rongguang Liang, Junchao Zhang, Xiaobo Tian, Jianbo Shao
Keywords(s):  
Category(s): Technology Classifications > Imaging & Optics, Technology Classifications > Imaging & Optics > Optical Fab / Metrology
Method for 3D Nonlinear Structured Illumination Super-resolution Imaging
Researchers at the University of Arizona have developed a super-resolution microscopy method that is faster, easier to use, and has less artifacts than current super-resolution methods. The result is a 3D dual-color stimulated emission depletion (STED) nonlinear structured illumination (NL-SIM) microscope. Using a combination of low coherent light and...
Published: 5/11/2016   |   Inventor(s): Leilei Peng, Yu Li, Han Zhang
Keywords(s):  
Category(s): Technology Classifications > Imaging & Optics, Technology Classifications > Imaging & Optics > Medical Imaging, Technology Classifications > Imaging & Optics > Microscopy, Spectroscopy, Polarimetry
Microscopy for the Identification of Oxyhemoglobin Species in Red Blood Cells
This novel invention combines a Solid Immersion Lens (SIL) microscope with the Surface Plasmon Resonance (SPR) effect to achieve precise measurement of refractive index of a target, with high spatial resolution. When used to examine Red Blood Cells (RBC) at multiple wavelengths, the refractive index measurement yields the variation in oxygen content...
Published: 7/22/2013   |   Inventor(s): Thomas Milster, Kurt Denninghoff, Pramod Khulbe, Jun Zhang
Keywords(s):  
Category(s): Technology Classifications > Imaging & Optics, Technology Classifications > Imaging & Optics > Medical Imaging