Simulation and Modeling Tools for Electron Microscopy and X-ray Microanalysis

Abstract:

A variety of simulation and modeling software tools are available for electron microscopy and X-ray microanalysis applications. These tools can help researchers visualize electron trajectories and interaction volumes, predict X-ray generation, optimize analytical conditions, and interpret experimental results. However, these tools differ considerably in their modeling approaches and capabilities, particularly in their treatment of electron scattering, X-ray generation, secondary fluorescence, detector response, and quantitative corrections. Choosing the right software for a particular analytical question is therefore not always straightforward.

This seminar will provide an overview of commonly used software packages, including CASINO, DTSA-II, MC X-ray, PENEPMA, and BadgerFilm. We will compare Monte Carlo simulations and analytical modeling approaches, highlighting the capabilities, practical applications, advantages, and limitations of each package. Examples relevant to scanning electron microscopy (SEM) and electron probe microanalysis (EPMA) will illustrate how these tools can support experimental characterization and assist researchers in choosing the best analytical approach.

Speaker bio:

Dr. Anette von der Handt is a Scientific and Business Development Director in the Department of Earth, Ocean and Atmospheric Sciences, where she oversees the electron microprobe (EPMA) and scanning electron microscope (SEM) facilities in the EMXDF lab. With over 15 years of experience in microanalysis and a background in geology, she develops and applies advanced EPMA techniques for scientific and industrial applications, including ultralight element analysis, analysis of beam-sensitive materials, and quantitative X-ray mapping. She has managed microbeam labs in both Canada and the U.S. and supports collaborative research and training across disciplines. She is an active council member of the Microanalysis Society and is part of the management team of the Characterization @ UBC GCRC cluster.