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Patent

Apparatus for data analysis

TLDR
In this article, edge points are extracted by specifying a height (values indicating a distance from a substrate) on a pattern when edges of the pattern are extracted from a CD-SEM image.
Abstract
Edge points are extracted by specifying a height (values indicating a distance from a substrate) on a pattern when edges of the pattern are extracted from a CD-SEM image. Further, LER values obtained by the extraction or a Fourier spectrum of the LER are obtained. When the same sample is previously observed with the AFM and the CD-SEM, a size of the LER obtained by specifying a height, an auto-correlation distance of the LER, or an index called the spectrum is obtained from results of the AFM observation. Further, theses indices obtained by specifying image processing conditions for detecting the edge points from the CD-SEM observation result are obtained. Also, it is determined that heights providing values when the values are matched correspond to the image processing conditions and then, the edge points are extracted from the CD-SEM IMAGE instead of the AFM observation by using the image processing conditions.

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Citations
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TL;DR: In this article, the upper surface of a substrate is irradiated and scanned with a converged energy beam from a direction substantially perpendicular to a main surface of the substrate having the structure formed on the upper surfaces thereof, and detecting and/or measuring intensities of a secondary energy beam generated in the substrate and the structure or an energy beam reflected or scattered from the substrate or the structure.
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Edge detection system and its use for optical proximity correction

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TL;DR: In this article, a method for determining roughness of a feature in a pattern structure includes generating, using an imaging device, a set of one or more images, each including measured linescan information that includes noise, and then detecting edges of the features within the pattern structure of each image without filtering the images, generating a biased power spectral density (PSD) dataset representing feature geometry information corresponding to the edge detection measurements.
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System and method for removing noise from roughness measurements

Mack Chris
TL;DR: In this paper, a method for determining roughness of a feature in a pattern structure includes generating, using an imaging device, a set of one or more images, each including measured linescan information that includes noise, and then detecting edges of the features within the pattern structure of each image without filtering the images, generating a biased power spectral density (PSD) dataset representing feature geometry information corresponding to the edge detection measurements.
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System and method for generating and analyzing roughness measurements

Mack Chris
TL;DR: In this article, a method for determining roughness of a feature in a pattern structure includes generating, using an imaging device, a set of one or more images, each including measured linescan information that includes noise, and then detecting edges of the features within the pattern structure of each image without filtering the images, generating a biased power spectral density (PSD) dataset representing feature geometry information corresponding to the edge detection measurements.
References
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Journal ArticleDOI

Comparison of metrology methods for quantifying the line edge roughness of patterned features

TL;DR: In this paper, the edge roughness of patterned features in resist and silicon is quantified using atomic force microscopes and scanning electron microscopes. And the parameters that limit the edge coarseness measurement and how they compare to the parameters of critical dimension measurement are discussed.
Patent

Shape roughness measurement in optical metrology

TL;DR: In this article, a statistical function of shape roughness is defined and a statistical perturbation is derived based on the statistical function and superimposed on the initial model to define a modified model of the structure.
Patent

High-accuracy pattern shape evaluating method and apparatus

TL;DR: In this article, the S-dependence of the edge roughness index is analyzed and a term of a dispersion value directly proportional to 1/S is determined as being due to noise.
Patent

Optical measurements of line edge roughness

Boaz Brill
TL;DR: A method and system for optical measurements of line edge roughness (LER) of patterned structures based on illuminating the structure with incident radiation and detecting a spectral response of the structure, and further applying software and/or hardware utilities for deriving information representative of said line edge Roughness parameter/s from said spectral response as mentioned in this paper.
Patent

Method of measuring a line edge roughness of micro objects in scanning microscopes

TL;DR: In this article, a line edge roughness of micro objects is determined in a microscope by corresponding scanning and determination of deviations of points of the edge from a straight line, and the deviation of points from the straight line is used to determine the micro object's roughness.