Paper
24 March 2006 Image-based nanoscale dimensional metrology
Author Affiliations +
Abstract
Optical interference leads to errors in the determination of the location of lines and in feature dimension measurements. Multi-peaked focus plots were observed from the metrology tools when the target includes sub-resolution lines. In this paper we present a new algorithm for determining nano-scale feature dimensions of grating structures with a bright-field metrology tool. The algorithm is based on the intensity of images obtained with varying amounts of defocus. By evaluating the variations of the different captured images through analysis of the optical images intensity obtained at various off-focus positions, the through-focus curves experimentally demonstrate nanometer sensitivity with grating structure. An empirical quadratic model was developed to fit the experimental results of image intensity deviation versus critical dimension. Our model and experimental data both shows that the grating structure with critical dimension at half pitch has maximum focus measure. A quadratic symmetry distribution data were shown when the critical dimension increase or decrease with the same dimensional intervals. The results demonstrate that the sub-wavelength feature dimensions can be evaluated using regular optical microscopes with exceptional resolution by implementing this algorithm.
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An-Shun Liu, Yi-Sha Ku, and Nigel Smith "Image-based nanoscale dimensional metrology", Proc. SPIE 6152, Metrology, Inspection, and Process Control for Microlithography XX, 61522G (24 March 2006); https://doi.org/10.1117/12.655932
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KEYWORDS
Critical dimension metrology

Metrology

Detection and tracking algorithms

Image sensors

Optical imaging

Optical metrology

Data modeling

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