HRTEM Grain Analysis via FFT Local Transformation
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Solution Overview
Problem
Current methods for analyzing nanometer-sized grains, such as SEM and EBSD, are inaccurate and time-consuming, and HRTEM analysis requires lengthy processing times and cannot quantify results effectively.
Innovation Solution
A grain analyzing method using HRTEM images involves performing Fast Fourier Transform (FFT) on pixel data to calculate local transformation data, analyzing grain orientation, crystallization rate, and periodicity, and segmenting grains based on these parameters to determine if they are crystalline or amorphous materials.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional methods (SEM, EBSD) are used to analyze grains, then analysis time is reduced, but measurement precision deteriorates for nanometer-sized grains
Solution Approach 1:
The patent replaces conventional mechanical/optical measurement systems (SEM, EBSD) with a computational approach using FFT analysis on HRTEM images. This substitution enables precise measurement of nanometer-sized grains by transforming the image data into frequency domain information, allowing accurate grain boundary detection and size calculation that conventional methods cannot achieve.
Solution Approach 2:
The patent changes the analysis parameters by applying Fast Fourier Transformation to convert spatial domain HRTEM image data into frequency domain data. This parameter transformation enables the extraction of grain size, orientation, and crystallinity information with high precision, resolving the limitation of conventional methods that cannot accurately measure nanometer-scale grains.
2Measurement precision
If HRTEM is used to measure nanometer-sized grains, then measurement precision is improved, but analysis time increases unacceptably
Solution Approach 1:
The patent applies preliminary processing steps including local windowing and FFT transformation to HRTEM images before detailed grain analysis. By pre-processing the images with these computational techniques, the system prepares the data in an optimized format that enables rapid and accurate grain measurement, significantly reducing the overall analysis time while maintaining high precision for nanometer-sized grains.
3Productivity
If conventional grain analysis methods are used, then analysis speed is maintained, but quantification capability deteriorates
Solution Approach 1:
The patent introduces FFT analysis as an intermediary computational step that bridges HRTEM imaging and grain quantification. This intermediary process transforms image data into frequency domain representations, enabling the extraction of quantitative parameters such as grain size distribution, orientation angles, and crystallinity indices, thereby providing comprehensive quantification capability that conventional methods lack.
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
This approach allows for rapid and precise analysis of nanometer-sized grains, reducing analysis time and enabling accurate quantification of grain properties, thereby improving the efficiency of semiconductor device development.
Implementation Method 1
performing at least one Fast Fourier Transformation (FFT) on the pixel data to calculate local transformation data
Data Source
AI summary
Provided are a method and system for analyzing grains using a high-resolution transmission electron microscopy (HRTEM) image. The method relates to analyzing nanometer grains, and includes receiving an HRTEM image, setting local windows each having a predetermined size for the HRTEM image, performing at least one Fast Fourier transformation on pixel data determined by the local windows to calculate local transformation data; and analyzing grains based on the local transformation data.