...
首页> 外文期刊>Optics and Lasers in Engineering >A novel sampling moire method and its application for distortion calibration in scanning electron microscope
【24h】

A novel sampling moire method and its application for distortion calibration in scanning electron microscope

机译:一种新颖的采样莫尔条纹方法及其在扫描电子显微镜畸变校正中的应用

获取原文
获取原文并翻译 | 示例
   

获取外文期刊封面封底 >>

       

摘要

High-resolution scanning electron microscope (SEM) is widely used for microscale material and structure characterization. However, the distortion in SEM imaging causes serious error for the quantitative measurement of optical methods. In previous work, the distortion calibration requires to set up a mathematic model of SEM imaging and then to determine the model parameters by calculation. The distortion filed is hard to directly extract from the SEM image by classic methods. In order to tackle this problem, we developed a direct sampling moire method (DSM) for simple and fast analysis of grating distortion. In DSM, the distortion fields can be directly presented visually through processing a single grating image. The measurement accuracy of DSM was verified by numerical simulation to be better than the classic sampling moire. In the experiment, a standard grating with pitch of 6.5 mu m was used in DSM to calibrate the distortion fields at different magnifications (50 x, 100 x, 150 x, 300 x) in SEM. The fitting results of the calibrated distortion field agreed well with the existing distortion model, which demonstrated the feasibility of DSM for distortion calibration in SEM.
机译:高分辨率扫描电子显微镜(SEM)被广泛用于微观材料和结构表征。然而,SEM成像中的畸变导致光学方法的定量测量的严重误差。在先前的工作中,畸变校准需要建立SEM成像的数学模型,然后通过计算确定模型参数。很难通过经典方法直接从SEM图像中提取畸变。为了解决这个问题,我们开发了一种直接采样莫尔条纹方法(DSM),用于简单,快速地分析光栅畸变。在DSM中,可以通过处理单个光栅图像直接直观地显示失真场。通过数值模拟验证了DSM的测量精度,使其优于传统的采样莫尔条纹。在实验中,在DSM中使用间距为6.5μm的标准光栅在SEM中以不同放大倍率(50 x,100 x,150 x,300 x)校准畸变场。校正后的畸变场的拟合结果与现有的畸变模型吻合得很好,证明了DSM在SEM中进​​行畸变校正的可行性。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号