Atomic Force Microscopy Scanning for High-Resolution Imaging
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Solution Overview
Problem
Atomic force microscopy (AFM) scans face challenges in increasing lateral resolution without losing contextual details, leading to errors such as feedback overshoot, image curvature, and wasted data due to limited scan area and speed constraints.
Innovation Solution
The method involves performing multiple AFM scans at different angles and speeds, correcting errors by integrating data from these scans to produce a high-resolution image while maintaining contextual details, and using a master reference scan to correct curvature artifacts.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the scan area size is reduced to increase lateral resolution, then lateral resolution is improved, but contextual details around the scanned area are lost
Solution Approach 1:
The patent divides the scanning process into multiple separate scans of different regions rather than attempting to capture all areas in a single scan. By segmenting the measurement into multiple focused scans, high resolution is achieved in areas of interest while contextual information is preserved through separate scanning of surrounding regions.
Solution Approach 2:
The patent applies different scanning parameters to different regions of the sample. Areas of interest are scanned with higher resolution parameters while other regions are scanned with lower resolution parameters, optimizing both lateral resolution where needed and information preservation where contextual details are sufficient at lower resolution.
2Measurement precision
If the number of pixels in the image is increased to increase lateral resolution, then lateral resolution is improved, but the scan speed is reduced
Solution Approach 1:
The patent increases the number of pixels and data points only in specific areas of interest rather than uniformly across the entire scan area. This localized increase in data density improves lateral resolution where needed while maintaining faster scan speeds in regions where high resolution is not critical.
Solution Approach 2:
The patent segments the scanning process into multiple passes, with some scans dedicated to capturing high-resolution data in specific regions and other scans capturing broader contextual information. This segmentation allows the system to achieve high lateral resolution in areas of interest without requiring the entire image to be scanned at maximum resolution, thereby maintaining overall scan speed.
3Measurement precision
If the scan speed is reduced to increase the amount of data in the scan, then measurement data quality is improved, but measurement throughput decreases
Solution Approach 1:
The patent collects high-quality measurement data by scanning at reduced speeds only in areas of interest where detailed information is critical. Other regions are scanned at higher speeds where full data quality is less critical, thereby improving measurement throughput while maintaining data quality where it matters most.
Solution Approach 2:
The patent divides the measurement process into multiple scans with different speed and data collection parameters. Some scans are performed slowly to capture detailed data in critical regions, while other scans are performed quickly to capture broader information, optimizing both data quality and measurement throughput through segmented scanning strategies.
4Measurement precision
If the scan area is reduced to focus on areas of interest, then lateral resolution is improved, but wasted data on areas outside interest regions is eliminated
Solution Approach 1:
The patent applies high-resolution scanning parameters locally to areas of interest rather than uniformly across the entire sample. This eliminates wasted data collection in regions where high resolution is not needed while maintaining excellent lateral resolution in critical areas, optimizing data efficiency.
Solution Approach 2:
The patent extracts and focuses scanning resources on specific areas of interest, removing unnecessary scanning of regions that do not require high-resolution data. This extraction approach eliminates wasted data collection while concentrating measurement precision where it is most valuable.
Data Source
AI summary
Apparatus and associated method that contemplates performing a first atomic force microscope (AFM) scan of a first region of a sample centered at a first position at a first angle to produce a first scan image, the first AFM scan including a first component scan at a first speed and a second component scan at a second speed; performing a second AFM scan of the first region of the sample at a second angle to produce a second scan image, the second AFM scan including performing a third component scan at the first speed and a fourth component scan at the second speed; and correcting a first error in the first scan image based on the second scan image to produce a corrected image output.