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Related Experiment Video

Updated: May 30, 2026

Novel 3D/VR Interactive Environment for MD Simulations, Visualization and Analysis

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Published on: December 18, 2014

Three-dimensional electron microscopy simulation with the CASINO Monte Carlo software.

Hendrix Demers¹, Nicolas Poirier-Demers, Alexandre Réal Couture

¹Electrical and Computer Engineering Department, Universite de Sherbrooke, Quebec, Canada.

|July 20, 2011

Summary

This summary is machine-generated.

The new 3D Monte Carlo software, CASINO, enhances electron microscopy simulations for complex samples. This free tool offers accurate modeling of electron signals and realistic experimental conditions.

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Area of Science:

Materials Science
Computational Physics
Electron Microscopy

Background:

Monte Carlo (MC) simulations are crucial for understanding electron microscope (EM) capabilities.
Existing 2D MC software has limitations for analyzing complex samples.
There is a need for advanced 3D MC software for realistic EM applications.

Purpose of the Study:

To present the development of a new 3D Monte Carlo software named CASINO.
To provide a free, efficient, and accurate simulation tool for the scientific community.
To enhance the study of electron signals and absorbed energy in complex samples.

Main Methods:

Development of a 3D simulation model with a focus on efficiency (time and memory).
Integration of accurate physics models tailored for electron microscopy.
Implementation of a graphical user interface (GUI) for ease of use.

Main Results:

The 3D CASINO software offers an efficient 3D simulation model.
Accurate modeling of backscattered, secondary, and transmitted electron signals.
Simulation of absorbed energy, scan points, and shot noise for realistic conditions.

Conclusions:

The 3D CASINO software provides a powerful and accessible tool for EM research.
It enables more realistic simulations for complex samples and experimental conditions.
The software is freely available, supporting advancements in scanning electron microscopy (SEM) and scanning transmission electron microscopy (STEM).