Pattern Determination Device for SEM Wafer Inspection
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Solution Overview
Problem
In scanning electron microscopes, distinguishing between line and space patterns with similar widths is challenging, especially when contrast is low, and existing methods for obtaining three-dimensional information require beam inclining, which reduces throughput.
Innovation Solution
A device and computer program that classify regions based on profile waveforms to determine concave or convex portions and gaps, using area thresholds and statistical tests to differentiate between them, allowing for stable identification of unevenness and gap measurements without beam inclination.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If beam inclining is performed to obtain three-dimensional information, then unevenness information can be obtained, but throughput lowers and processing time increases
Solution Approach 1:
The patent creates a virtual three-dimensional model by copying and processing two-dimensional image data through stereo matching algorithms, eliminating the need for physical beam inclining while still obtaining three-dimensional unevenness information
Solution Approach 2:
The patent replaces the mechanical beam inclining system with an image processing system that uses computational algorithms to extract three-dimensional information from two-dimensional images, substituting mechanical action with information processing
2Measurement precision
If beam inclining is performed to obtain three-dimensional information, then unevenness information can be obtained, but processing time is needed for performing beam inclining
Solution Approach 1:
The patent performs preliminary stereo matching and three-dimensional model construction during the image acquisition phase, so that unevenness information is already prepared and available without requiring additional processing time later
Solution Approach 2:
The patent creates a virtual three-dimensional model by copying and processing two-dimensional image data through stereo matching algorithms, eliminating the need for physical beam inclining while still obtaining three-dimensional unevenness information
3Measurement precision
If conventional profile analysis is used to determine unevenness, then identification can be made, but the method is not reliable when peaks are not clearly formed at line-space borders
Solution Approach 1:
The patent transitions from one-dimensional profile analysis to three-dimensional spatial analysis by constructing a three-dimensional model from stereo images, allowing unevenness determination based on spatial coordinates rather than relying on peak formation in two-dimensional profiles
Solution Approach 2:
The patent creates a virtual three-dimensional model by copying and processing two-dimensional image data through stereo matching algorithms, eliminating the need for physical beam inclining while still obtaining three-dimensional unevenness information
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables precise identification of line and space patterns and unevenness on semiconductor wafers regardless of pattern formation state or image acquisition conditions, improving throughput by eliminating the need for beam inclination.
Implementation Method 1
a charged particle beam device with a function of scanning a charged particle beam one-dimensionally or two-dimensionally
Data Source
AI summary
An object of the invention is to provide: a sample unevenness device that stably identifies unevenness formed on a sample, regardless of a pattern formation state or image acquisition conditions; and a computer program. As an aspect to achieve the above object, a device and computer program are proposed that obtain the area of a plurality of regions formed by a profile waveform of a given threshold or lower for a profile formed based on a detection signal obtained by scanning with a charged particle beam with respect to the sample; and determine either or both of that a site corresponding to a region with a relatively large area is a concave portion or that a space portion and a site corresponding to a space with a relatively small area is a convex portion or a line portion.


