Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 1,552

The DOI matches its Crossref record.

CASINO V2.42—A Fast and Easy‐to‐use Modeling Tool for Scanning Electron Microscopy and Microanalysis Users

Drouin, Dominique, Couture, Alexandre Réal, Joly, Dany, Tastet, Xavier, Aimez, Vincent, Gauvin, Raynald·2007·Scanning

Abstract

Monte Carlo simulations have been widely used by microscopists for the last few decades. In the beginning it was a tedious and slow process, requiring a high level of computer skills from users and long computational times. Recent progress in the microelectronics industry now provides researchers with affordable desktop computers with clock rates greater than 3 GHz. With this type of computing power routinely available, Monte Carlo simulation is no longer an exclusive or long (overnight) process. The aim of this paper is to present a new user‐friendly simulation program based on the earlier CASINO Monte Carlo program. The intent of this software is to assist scanning electron microscope users in interpretation of imaging and microanalysis and also with more advanced procedures including electron‐beam lithography. This version uses a new architecture that provides results twice as quickly. This program is freely available to the scientific community and can be downloaded from the website: www.gel.usherb.ca/casino. SCANNING 29: 000‐000, 2007. © 2007 Wiley Periodicals, Inc.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1002/sca.20000

Cites

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cited by

See all 1,552

Metadata

Authors
Drouin, D., Couture, A. R., Joly, D., Tastet, X., Aimez, V., & Gauvin, R.
Venue
Scanning
Publisher
Wiley
Published
2007-04-23
Volume
29
Issue
3
Pages
92-101
ISSN
  • 0161-0457 (ISSN-L)
  • 1932-8745
OpenAlex
W2093049956
Cited by
1,552
References
0
FWCI
18.36
Type
journal article
Language
en
Open access
closed

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: CASINO V2.42—A Fast and Easy‐to‐use Modeling Tool for Scanning Electron Microscopy and Microanalysis Users. https://app.cochat.ai/papers/10.1002/sca.20000
The paper
Drouin, D., Couture, A. R., Joly, D., Tastet, X., Aimez, V., & Gauvin, R. (2007). CASINO V2.42—A Fast and Easy‐to‐use Modeling Tool for Scanning Electron Microscopy and Microanalysis Users. Scanning. https://doi.org/10.1002/sca.20000

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.