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Radiation damage in the TEM and SEM.

R F Egerton1, P Li, M Malac

  • 1Department of Physics, University of Alberta, Faculty of Science, 412 Avadh Bhatia Phy, Edmonton T6G 2J1, Canada. regerton@ualberta.ca

Micron (Oxford, England : 1993)
|May 4, 2004
PubMed
Summary

Electron beams can damage samples in electron microscopy through heating, charging, and radiation effects. This review identifies strategies to minimize these adverse impacts on organic and inorganic materials.

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Area of Science:

  • Materials Science
  • Analytical Chemistry
  • Physics

Background:

  • Electron microscopy is a powerful tool for analyzing materials at high resolution.
  • Electron beams can induce various forms of damage in both organic and inorganic samples.
  • Understanding and mitigating beam-induced damage is crucial for accurate analysis.

Purpose of the Study:

  • To comprehensively review the detrimental effects of electron beams on samples during electron microscopy.
  • To identify and discuss strategies for minimizing electron beam damage.
  • To re-evaluate common assumptions regarding radiation damage in electron microscopy.

Main Methods:

  • Literature review of electron beam-sample interactions.
  • Analysis of experimental evidence on radiation damage mechanisms.
  • Discussion of mitigation techniques for various damage types.

Main Results:

  • Identified key damage mechanisms: heating, electrostatic charging, ionization damage (radiolysis), displacement damage, sputtering, and hydrocarbon contamination.
  • Presented strategies to minimize each identified damage type.
  • Challenged assumptions about the direct proportionality between radiation damage, electron dose, beam diameter, and deposited energy.

Conclusions:

  • Electron beam damage is a significant factor in electron microscopy that requires careful management.
  • Implementing specific strategies can effectively reduce adverse effects on samples.
  • The relationship between electron dose, beam parameters, energy deposition, and radiation damage is more complex than previously assumed.

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