Paper
20 October 2006 A new algorithm for SEM critical dimension measurements for differentiating between lines and spaces in dense line/space patterns without tone dependence
J. Matsumoto, Y. Ogiso, M. Sekine, T. Iwai, J. Whittey
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Abstract
In performing SEM Critical Dimension (CD) measurements on photomasks in dense line and space arrays it is often difficult to distinguish between whether a feature is a line or space. This is a result of tone shifts that occur affecting contrast on target images. The inability to reliably differentiate lines and spaces leads to the inclusion of fliers, or inaccurate measurements into automated measurement results. In an effort to overcome this phenomenon a new algorithm has been developed to increase the robustness of the CD SEM measurements to insure reliable data acquisition. This new algorithm takes into account apparent tone reversals on a variety of today's photomask material types. This paper will detail the various elements of the new algorithm and show before and after test results of improved recognition performance.
© (2006) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
J. Matsumoto, Y. Ogiso, M. Sekine, T. Iwai, and J. Whittey "A new algorithm for SEM critical dimension measurements for differentiating between lines and spaces in dense line/space patterns without tone dependence", Proc. SPIE 6349, Photomask Technology 2006, 634941 (20 October 2006); https://doi.org/10.1117/12.686143
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Cited by 3 scholarly publications.
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KEYWORDS
Scanning electron microscopy

Optical alignment

Detection and tracking algorithms

Critical dimension metrology

Pattern recognition

Photomasks

Algorithm development

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