A hyperspectral unmixing framework for energy-loss near-edge structure analysis
Related Experiment Video
Updated: Dec 10, 2025

Excitation-Scanning Hyperspectral Imaging Microscopy to Efficiently Discriminate Fluorescence Signals
Published on: August 22, 2019
1School of Engineering for Matter, Transport and Energy, Arizona State University, Tempe, Arizona 85287, USA; Shenzhen Institute for Quantum Science and Engineering, Southern University of Science and Technology, Shenzhen 518055, China.
Abstract:
Extracting different spectral components and their corresponding concentrations from spectrum images is one of the key challenges for electron energy-loss spectroscopy analysis due to the large amount of data, differing spectral features and low signal-to-noise ratio. Here, an open-source software framework of hyperspectral unmixing for energy-loss near-edge fine structure analysis is proposed. This software determines the number of independent spectral components, the signature of each spectral component and the abundance of each spectral component in each pixel, without reference spectrum or prior knowledge of the datasets. This approach should be suitable for automated materials and chemical analysis.
More Related Videos
07:05Applying Hyperspectral Reflectance Imaging to Investigate the Palettes and the Techniques of Painters
Published on: June 18, 2021
08:22Measurement of 3-Dimensional cAMP Distributions in Living Cells using 4-Dimensional x, y, z, and λ Hyperspectral FRET Imaging and Analysis
Published on: October 27, 2020
Related Concept Videos
Ultraviolet and Visible (UV–Vis) Spectroscopy: Overview
UV–Vis Spectroscopy: Molecular Electronic Transitions
IR Spectrum Peak Splitting: Symmetric vs Asymmetric Vibrations
UV–Vis Spectrum
The UV–Vis spectrum of a molecule is the plot of its absorbance versus wavelength. The plot is drawn by taking molar...
Attenuated Total Reflectance (ATR) Infrared Spectroscopy: Overview
The ATR process begins by directing a beam...
UV–Vis Spectroscopy: Woodward–Fieser Rules