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Updated: Mar 10, 2026

Hyperspectral Imaging as a Tool to Study Optical Anisotropy in Lanthanide-Based Molecular Single Crystals
Published on: April 14, 2020
Spectrum image analysis tool - A flexible MATLAB solution to analyze EEL and CL spectrum images
Franz-Philipp Schmidt1, Ferdinand Hofer2, Joachim R Krenn3
1Institute of Physics, University of Graz, Universitätsplatz 5, 8010 Graz, Austria; Institute for Electron Microscopy and Nanoanalysis, Graz University of Technology, Steyrergasse 17, 8010 Graz, Austria.
This study presents a MATLAB software for processing spectrum imaging data. It simplifies visualizing hidden details in electron energy loss/cathodoluminescence spectrum images.
Area of Science:
- Materials Science
- Spectroscopy
- Data Analysis
Background:
- Spectrum imaging techniques acquire both structural and spectroscopic data simultaneously.
- Extracting meaningful information requires specialized data processing.
- Existing methods may be cumbersome for large datasets.
Purpose of the Study:
- Introduce a MATLAB-based software for processing 3D spectrum imaging data (EEL/CL).
- Provide a user-friendly interface for spectral and positional data analysis.
- Facilitate visualization of subtle details within complex datasets.
Main Methods:
- Utilizes MATLAB for data processing and visualization.
- Accepts 3D spectrum image data in dm3 format (DigitalMicrograph®).
- Features a graphical user interface for intuitive operation.
Main Results:
- Enables fast mapping of spectral-dependent images and position-dependent spectra.
- Integrates essential data processing steps: background subtraction, deconvolution, and denoising.
- Offers multiple display options, including a movie maker for EEL/CL data.
Conclusions:
- The developed software is an efficient tool for analyzing large spectrum imaging datasets.
- It simplifies the visualization of otherwise hidden details in EEL/CL spectrum images.
- The program enhances the utility of spectrum imaging techniques in research.
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