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Energy Dispersive X-ray Tomography for 3D Elemental Mapping of Individual Nanoparticles
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A facile method to compare EFTEM maps obtained from materials changing composition over time.

Alberto Casu1, Alessandro Genovese1, Cristiano Di Benedetto1

  • 1King Abdullah University of Science and Technology (KAUST), Biological and Environmental Sciences and Engineering Division (BESE), Thuwal, 23955-6900, Kingdom of Saudi Arabia.

Microscopy Research and Technique
|November 1, 2015
PubMed
Summary
This summary is machine-generated.

This study introduces a new method for processing Energy Filtered Transmission Electron Microscopy (EFTEM) elemental maps from time-evolving samples. It ensures better comparability of images, especially for low signals, improving analysis of dynamic material changes.

Keywords:
digital image treatmentelemental mapsin situ EFTEM

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Area of Science:

  • Materials Science
  • Analytical Chemistry
  • Microscopy

Background:

  • Energy Filtered Transmission Electron Microscopy (EFTEM) is crucial for elemental mapping in TEM.
  • Current post-acquisition treatments of EFTEM maps are often map-by-map, limiting analysis of dynamic compositional changes.
  • Independent image treatment can obscure subtle, time-dependent chemical feature progression, especially with low signal elements.

Purpose of the Study:

  • To develop a facile procedure for treating whole sets of EFTEM maps from time-evolving samples.
  • To establish a common image treatment method for enhanced comparability of sequential EFTEM data.
  • To preserve and improve the visibility of elemental information in dynamic material analysis.

Main Methods:

  • A novel, facile procedure for processing entire sets of EFTEM maps.
  • Application to samples exhibiting compositional changes over time.
  • Development of a common image treatment strategy to ensure comparability.

Main Results:

  • The proposed procedure allows for consistent treatment of sequential EFTEM maps.
  • Enhanced comparability of elemental maps from evolving samples is achieved.
  • The method is effective even for elements with very low signals.

Conclusions:

  • A new, straightforward method for analyzing time-evolving EFTEM data has been presented.
  • This approach improves the comparability of elemental maps, aiding the study of dynamic material processes.
  • The technique is valuable for materials science research involving compositional changes.