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Updated: May 27, 2026

Low-energy Cathodoluminescence for (Oxy)Nitride Phosphors
Published on: November 15, 2016
LabVIEW-based control and data acquisition system for cathodoluminescence experiments
1Institute of Scientific Instruments of the ASCR, v.v.i., Department of Electron Optics, Královopolská 147, CZ-61264 Brno, Czech Republic. bok@isibrno.cz
This study details the computer automation of cathodoluminescence (CL) experiments using custom equipment and LabVIEW software. The system enables efficient CL efficiency, spectra, and time response studies with incorporated data correction algorithms.
Area of Science:
- Materials Science
- Spectroscopy
- Instrumentation
Background:
- Cathodoluminescence (CL) is a powerful technique for characterizing materials.
- Accurate CL measurements require precise control over experimental parameters and data processing.
- Existing methods for CL data acquisition and analysis can be time-consuming and prone to technical limitations.
Purpose of the Study:
- To describe the development of a computer-automated system for cathodoluminescence (CL) experiments.
- To present application software for controlling CL equipment and acquiring data.
- To incorporate data correction algorithms for improved measurement accuracy.
Main Methods:
- Development of custom equipment for CL efficiency, spectra, and time response studies.
- Utilizing the LabVIEW graphical programming environment for automation.
- Implementation of data correction algorithms for spectral sensitivity and time response distortions.
Main Results:
- Successful automation of various CL experiments, including efficiency, spectra, and time response.
- Development of user-friendly application software for equipment control and data acquisition.
- Demonstration of effective data correction for mitigating technical limitations.
Conclusions:
- The developed automated CL system enhances experimental efficiency and data accuracy.
- The incorporated data correction algorithms are crucial for reliable CL analysis.
- This automation provides a robust platform for advanced materials characterization using CL.
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