Novel Hyperspectral Surface Plasmon Resonance Microscopy System Developed
Hyperspectral surface plasmon resonance microscopy (HSPRM) is an advanced analytical technique for spectral imaging and chemical and biological sensing, which enables high-resolution visualization and precise quantification of chemical and biological analytes.
A study published in Nature Communications describes a flexible HSPRM system that operates by using a hyperspectral microscope to analyze the selected area of SPR image produced by a prism-based spectral SPR sensor.
The HSPRM system is developed by a research team from the Aerospace Information Research Institute (AIR) of the Chinese Academy of Sciences (CAS).
The HSPRM system enables monochromatic and polychromatic SPR imaging and single-pixel spectral SPR sensing, as well as two-dimensional quantification of thin films with measured resonance-wavelength images. It can measure SPR radiance spectra instead of conventional intensity spectra to improve the figure of merit (FOM) of single-pixel spectral SPR sensors and can also quantify two-dimensional profiles of thickness and refractive index for thin films by using measured resonance-wavelength images.
Pixel-by-pixel calibration of the incident beam collimation deviation was performed to remove pixel-to-pixel differences in SPR sensitivity.
The HSPRM system has a wide spectral range from 400 nm to 1,000 nm, an optional field of view from 0.884 mm2 to 0.003 mm2 and a high lateral resolution of 1.2μm.
Typical applications of the HSPRM system include quantification of single-layer graphene thickness distribution, in situ detection of inhomogeneous protein adsorption, and label-free single cell analysis.
Reference: Liu Z, Wu J, Cai C, Yang B, Qi Z mei. Flexible hyperspectral surface plasmon resonance microscopy. Nat Commun. 2022;13(1):6475. doi: 10.1038/s41467-022-34196-7
This article has been republished from the following materials. Note: material may have been edited for length and content. For further information, please contact the cited source.
Add Technology Networks as a preferred Google source to see more of our trusted coverage.
