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Quantitative corrections for fluctuation electron microscopy.

J M Gibson1, M M J Treacy2

  • 1Department of Mechanical Engineering, FAMU-FSU College of Engineering, Tallahassee, Florida, USA.

Journal of Microscopy
|August 26, 2025
PubMed
Summary
This summary is machine-generated.

Three experimental corrections improve quantitative interpretation in fluctuation electron microscopy (FEM). These address detector sampling, shot noise, and thickness variations, refining analysis of nanostructure and material properties.

Keywords:
4D‐STEMamorphous materialsmedium‐range orderscanning transmission electron microscopy (STEM)¸transmission electron microscopy (TEM)

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Area of Science:

  • Materials Science
  • Condensed Matter Physics
  • Electron Microscopy

Background:

  • Fluctuation electron microscopy (FEM) often yields anomalously low normalized variance values.
  • Conventional quantitative interpretation methods require refinement for accurate analysis.

Purpose of the Study:

  • To present three experimental corrections for quantitative interpretation in FEM.
  • To address limitations in current FEM analysis, particularly concerning detector effects and thickness variations.

Main Methods:

  • Investigated the impact of pixelated detectors on nanodiffraction pattern statistics.
  • Developed adjusted shot noise correction considering Modulation Transfer Function (MTF).
  • Proposed an alternative thickness correction method for amorphous silicon (a-Si).

Main Results:

  • Pixelated detectors reduce high-frequency signals, impacting background normalized variance.
  • Background-subtracted peak heights are less affected by detector effects under optimized conditions.
  • A new thickness correction method was proposed, addressing inadequacy of traditional approaches.

Conclusions:

  • Experimental corrections are crucial for accurate quantitative interpretation in FEM.
  • Detector sampling, MTF effects, and thickness variations significantly influence FEM results.
  • Further investigation into displacement decoherence is suggested for understanding thickness effects.