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Comparison of Experimental STEM Conditions for Fluctuation Electron Microscopy
Dražen Radić1, Sven Hilke1, Martin Peterlechner1
1University of Münster, Institute of Materials Physics, 48149Münster, Germany.
Summary
Variable-resolution fluctuation electron microscopy (VR-FEM) reveals that probe defocusing offers better control over normalized variance than changing convergence angles. This finding optimizes data quality in electron microscopy for materials science applications.
Area of Science:
- Materials Science
- Electron Microscopy
- Condensed Matter Physics
Background:
- Variable-resolution fluctuation electron microscopy (VR-FEM) is a powerful technique for analyzing materials at the nanoscale.
- Understanding the impact of experimental parameters on VR-FEM data is crucial for accurate interpretation.
- Probe size variation is a key experimental condition affecting data quality.
Purpose of the Study:
- To investigate the influence of different probe generation methods on VR-FEM data.
- To compare the effects of semi-convergence angle variation versus defocus on normalized variance.
- To theoretically analyze beam coherence and its impact on VR-FEM measurements.
Main Methods:
- Acquisition of VR-FEM data on amorphous silicon and PdNiP under controlled electron doses.
- Generation of STEM probes with varying sizes using semi-convergence angle adjustments and defocus.
- Theoretical analysis of beam coherence using geometrical optics.
- Fitting experimental beam profiles to validate theoretical models.
Main Results:
- Defocusing resulted in a lower normalized variance compared to varying the semi-convergence angle.
- The trend of normalized variance with probe size differed significantly between the two methods.
- Theoretical analysis and experimental fits confirmed the link between probe coherence and illumination conditions.
Conclusions:
- Probe defocusing is a more effective method for controlling normalized variance in VR-FEM.
- Optimizing exposure time for nanobeam diffraction patterns can further enhance data quality.
- The study provides insights into optimizing VR-FEM experiments for reliable materials characterization.
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