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Search Results - jun+zhang*
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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: 4/3/2023
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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: 4/3/2023
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Inventor(s):
Thomas Milster
,
Kurt Denninghoff
,
Pramod Khulbe
,
Jun Zhang
Keywords(s):
Category(s):
Technology Classifications > Imaging & Optics > Medical Imaging
,
Technology Classifications > Imaging & Optics
Preparation of Highly Active Pt3Ni Nanoctahedra as Electrocatalyst Toward Oxygen Reduction in Fuel Cells
Production of large quantity of PtNi nanoparticles that exhibit very high oxygen reduction activity for polymer electrolyte membrane fuel cells (PEMFCs) Technology Overview: A novel wet-chemical approach is employed to prepare monodisperse Pt3Ni nanoctahedra and PtCu nanocubes terminated with specific facets. The oxygen reduction reaction activity...
Published: 5/18/2022
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Inventor(s):
Jiye Fang
,
Jun Zhang
Keywords(s):
#SUNYresearch
,
CleanTech
,
Technologies
Category(s):
Technology Classifications > Nanotechnology
,
Campus > Binghamton University
Nanoparticle-Textured Surfaces for Highly Selective Adhesion, Sensing and Separation
This technology provides novel, engineered surfaces containing functionalized nanoparticle adhesive elements whose surface arrangements are optimized for highly selective adhesion, sensing and separation of biological or nonbiological analyte particles in a broad range of sizes, from submicron to tens of microns. The nanoparticle- textured surfaces...
Published: 8/3/2023
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Inventor(s):
Maria Santore
,
Jun Zhang*
,
Vincent Rotello
Keywords(s):
Category(s):
Material science
,
Devices & sensors
,
Nanotechnology
,
Research tools