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arXiv 1006.0171physics.ins-detphysics.comp-ph
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扫描带电粒子显微镜图像建模研究进展

Advances in Modeling of Scanning Charged-Particle-Microscopy Images

Petr Cizmar, Andras E. Vladar, Michael T. Postek

摘要:

人工扫描电子显微镜(SEM)和扫描离子显微镜图像的建模最近变得重要。这是因为需要提供具有先验确定的参数的可重复图像。模拟的人工图像在评估新的成像和成像技术方面非常有用,如图像清晰度计算或漂移校正图像合成(DCIC)。最初,NIST开发的人工图像生成器仅设计用于生成用于图像清晰度评估的金碳分辨率样品的SEM图像。从那时起,该软件的新改进版本是用C++编程语言编写的,并处于公共领域。该软件的当前版本可以生成任意样本、任何漂移函数和许多其他功能。这项工作描述了在带电粒子显微镜,这是应用在人工图像发生器和DCIC技术的扫描。作为一个例子,DCIC技术的性能进行了演示。

英文摘要:

Modeling artificial scanning electron microscope (SEM) and scanning ion microscope images has recently become important. This is because of the need to provide repeatable images with a priori determined parameters. Modeled artificial images are highly useful in the evaluation of new imaging and metrological techniques, like image-sharpness calculation, or drift-corrected image composition (DCIC). Originally, the NIST-developed artificial image generator was designed only to produce the SEM images of gold-on-carbon resolution sample for image-sharpness evaluation. Since then, the new improved version of the software was written in C++ programming language and is in the Public Domain. The current version of the software can generate arbitrary samples, any drift function, and many other features. This work describes scanning in charged-particle microscopes, which is applied both in the artificial image generator and the DCIC technique. As an example, the performance of the DCIC technique is demonstrated.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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