Adaptive Scanning Microscopy for Rapid Feature Tracking
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Solution Overview
Problem
Current scanning microscopy techniques are limited by slow imaging processes and specimen damage when dealing with large specimens or radiation-sensitive materials, particularly in high-throughput applications, where maintaining resolution while expanding imaging areas and minimizing beam-induced damage is crucial.
Innovation Solution
Adaptive scanning methods that track and follow the contours of features of interest using charged particle microscopes, employing repetitive circular motions of the scanning beam based on detector output analysis to minimize beam exposure and enhance signal-to-noise ratio, allowing for faster data collection and reduced specimen damage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If traditional scanning microscopy techniques are used to image large specimens, then the imaging area can be expanded, but the imaging speed becomes too slow for high-throughput applications
Solution Approach 1:
The patent divides the large specimen into multiple regions of interest (ROIs) and images them separately using adaptive scanning. Instead of scanning the entire large area uniformly, the system identifies and segments specific features or regions that require detailed examination, imaging only those segments at high resolution while maintaining the ability to cover large overall areas.
Solution Approach 2:
The patent implements dynamic scanning patterns that adapt in real-time based on detected features. The scanning beam dynamically adjusts its path to follow contours and edges of features of interest, concentrating scan lines where information is most valuable while reducing or skipping scans in uniform or less interesting areas, thereby increasing imaging speed for large specimens.
2Measurement precision
If the beam intensity is increased to improve signal-to-noise ratio, then the image quality improves, but the specimen damage increases for radiation-sensitive materials
Solution Approach 1:
The patent applies local quality by concentrating the electron beam intensity specifically at feature edges and contours where the signal is most informative, while using lower intensity or skipping scans in uniform interior regions. This localized high-intensity scanning maintains signal-to-noise ratio at critical boundaries while reducing overall beam exposure and damage to radiation-sensitive specimens.
Solution Approach 2:
The patent uses partial scanning by focusing beam exposure only on the necessary portions of the specimen (edges and contours of features) rather than uniformly scanning entire areas. This partial action approach achieves sufficient signal-to-noise ratio for accurate feature characterization while minimizing unnecessary beam exposure that would cause specimen damage.
3Area of stationary object
If the scanning beam covers the entire specimen area, then complete coverage is achieved, but the time required for imaging increases significantly
Solution Approach 1:
The patent performs preliminary low-resolution scanning or uses prior knowledge to identify regions of interest before conducting detailed high-resolution adaptive scanning. This preliminary action allows the system to pre-select which areas require intensive scanning, enabling complete specimen coverage at low resolution while concentrating time-consuming high-resolution scans only on relevant features.
Solution Approach 2:
The patent implements partial scanning by directing the beam only to necessary regions (feature edges and contours) rather than uniformly scanning entire specimen areas. This approach maintains complete coverage of interesting features while significantly reducing imaging time by skipping or reducing scans in uniform or less informative regions.
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 enables faster and more efficient imaging of large specimens with improved signal-to-noise ratio, reducing damage to sensitive samples and speeding up analytical insights in various fields by focusing beam exposure on feature edges rather than entire areas.
Implementation Method 1
irradiation of a specimen by a scanning electron beam causes emission of 'auxiliary' radiation from the specimen, in the form of secondary electrons
Implementation Method 2
irradiation of a specimen by a scanning electron beam causes emission of 'auxiliary' radiation from the specimen, in the form of secondary electrons, backscattered electrons
Implementation Method 3
irradiation of a specimen by a scanning electron beam causes emission of 'auxiliary' radiation from the specimen, in the form of secondary electrons, backscattered electrons, X-rays
Implementation Method 4
irradiation of a specimen by a scanning electron beam causes emission of 'auxiliary' radiation from the specimen, in the form of secondary electrons, backscattered electrons, X-rays and photoluminescence (infrared, visible and/or ultraviolet photons)
Implementation Method 5
Examples of electron detectors include scintillator-photomultiplier combinations (referred to 'Everhart Thornley' detectors)
Implementation Method 6
solid state detectors, including solid-state photomultipliers, photodiodes, CMOS detectors, and CCD detectors
Data Source
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AI summary
Methods and systems are provided for a scanning microscope to rapidly form a partial digital image of an area. The method includes performing an initial scan for the area and using initial scan to identify regions representing features of interest in the area. Then, the method performs additional adaptive scans of the regions representing structures of interest. Such scans adapt the path of the scanning beam to follow the edges of a feature of interest by performing localized scan patterns that intersect the feature edge, and directing the localized scan patterns to follow the feature edge.