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Related Experiment Videos

Image sharpness measurement in the scanning electron-microscope--part III.

N F Zhang1, M T Postek, R D Larrabee

  • 1Statistical Engineering Division, National Institute of Standards and Technology, Gaithersburg, Maryland 20899-0001, USA.

Scanning
|September 14, 1999
PubMed
Summary

This study introduces multivariate kurtosis as a new method for measuring scanning electron microscope (SEM) image sharpness. This statistical measure enhances quality control in manufacturing by quantifying image clarity.

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Area of Science:

  • Materials Science
  • Metrology
  • Image Analysis

Background:

  • Automated scanning electron microscopes (SEM) are crucial in manufacturing for quality control.
  • Ensuring satisfactory image sharpness is vital for SEM performance verification.
  • Fourier analysis is a current method for SEM image sharpness assessment.

Purpose of the Study:

  • To propose multivariate kurtosis as a novel statistical measure for SEM image sharpness.
  • To evaluate the effectiveness of kurtosis in quantifying image clarity and high spatial frequencies.

Main Methods:

  • Computed two-dimensional spatial Fourier transforms of selected SEM images.
  • Calculated the bivariate kurtosis of the Fourier transforms, treating them as probability distributions.
  • Assessed kurtosis as a dimensionless and parametric measure sensitive to high spatial frequencies.

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Main Results:

  • Multivariate kurtosis demonstrates potential as a valuable metric for SEM image sharpness.
  • The method is sensitive to the high spatial frequencies essential for sharp images.
  • Kurtosis offers a parametric and dimensionless approach to image quality assessment.

Conclusions:

  • Multivariate kurtosis provides an effective and additional method for SEM image sharpness measurement.
  • This technique can enhance quality control and metrology in SEM applications.
  • The proposed method contributes to the quantitative analysis of image sharpness in manufacturing.