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Time-resolved compositional mapping during in situ TEM studies.

Axel R Persson1, Marcus Tornberg2, Robin Sjökvist1

  • 1NanoLund, Lund University, SE-221 00 Lund, Sweden; National Center for High Resolution Electron Microscopy and Centre for Analysis and Synthesis, Lund University, Box 124, SE-221 00 Lund, Sweden.

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|February 8, 2021
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Summary
This summary is machine-generated.

This study enhances in situ transmission electron microscopy (TEM) analysis by improving the time-resolution of compositional mapping in scanning TEM (STEM) and energy dispersive spectroscopy (EDS). This allows for the observation of transient changes in nanostructures during dynamic processes.

Keywords:
Component analysisCompositional analysisIn situNon-negative matrix factorizationSTEM

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Area of Science:

  • Materials Science
  • Nanotechnology
  • Microscopy

Background:

  • In situ transmission electron microscopy (TEM) is crucial for studying nanostructure evolution under stimuli.
  • Current compositional analysis, especially mapping, lacks the temporal resolution to capture transient changes.
  • High-speed imaging in TEM is available, but compositional analysis remains a bottleneck.

Purpose of the Study:

  • To improve the time-resolution of sequential mapping in scanning TEM (STEM) coupled with energy dispersive spectroscopy (EDS).
  • To enable the observation of dynamic compositional changes in nanostructures during in situ experiments.
  • To overcome the limitations of long acquisition times in traditional mapping techniques.

Main Methods:

  • Developed an algorithm using regularization for filtering spectroscopic data acquired during short acquisition times.
  • Applied compressed sensing principles to fit model spectra to acquired data, preventing overfitting.
  • Utilized in situ environmental TEM (ETEM) for experiments, including catalyzed crystal growth (nanowires).

Main Results:

  • Achieved significantly improved temporal resolution for compositional mapping, down to 16 seconds per map.
  • Successfully revealed the compositional progression in different regions of nanostructures during in situ experiments.
  • Validated the algorithm's effectiveness through simulations and experimental data.

Conclusions:

  • The developed method substantially enhances the temporal resolution of STEM-EDS mapping.
  • Transient compositional changes in nanostructures can now be resolved with unprecedented detail.
  • This advancement opens new possibilities for understanding dynamic nanoscale phenomena.