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Advances in Modeling of Scanning Charged-Particle-Microscopy Images

机译:扫描带电粒子显微镜图像的建模进展

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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.
机译:对人工扫描电子显微镜(SEM)和扫描离子显微镜图像进行建模最近变得很重要。这是因为需要提供具有先验确定的参数的可重复图像。建模的人工图像在评估新的成像和计量技术(例如图像清晰度计算或漂移校正的图像合成(DCIC))中非常有用。最初,由NIST开发的人工图像生成器仅设计用于生成碳-金分辨率样品的SEM图像,用于图像清晰度评估。从那时起,该软件的新改进版本就以C ++编程语言编写,并在Public Domain中。该软件的当前版本可以生成任意样本,任何漂移函数以及许多其他功能。这项工作描述了在带电粒子显微镜中进行的扫描,该技术在人工图像生成器和DCIC技术中均得到了应用。作为示例,演示了DCIC技术的性能。

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