Particle Beam Microscopy Weighted X-Ray Imaging at Low Signal
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Solution Overview
Problem
Conventional particle beam microscopes face challenges in obtaining high-quality x-ray radiation information due to low x-ray quantum generation and detection, leading to poor spatial resolution and statistical quality of x-ray images.
Innovation Solution
A method for operating a particle beam microscope that involves directing a particle beam onto multiple locations of an object, detecting electrons and x-ray radiation at each location, and generating improved x-ray radiation information by combining weighted pieces of x-ray radiation information from adjacent locations, while maintaining topological relationships.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If x-ray radiation detection is performed with sufficient quality, then statistical quality of x-ray images is improved, but measurement time increases significantly
Solution Approach 1:
The patent combines multiple x-ray radiation information items from different locations into a single aggregated information item. By summing the x-ray radiation intensities from multiple locations (e.g., 4, 9, or 16 adjacent pixels), the statistical quality is improved without requiring proportionally longer measurement times at each individual location.
Solution Approach 2:
The patent divides the image into groups of pixels or locations, where x-ray radiation information is aggregated within each group. This segmentation allows parallel processing and reduces the total measurement time while maintaining statistical quality through the combined signal from multiple locations.
2Measurement precision
If x-ray radiation information from multiple locations is combined, then statistical quality is improved, but spatial resolution deteriorates
Solution Approach 1:
The patent applies different aggregation strategies to different regions of the image based on local characteristics. By considering topological relationships and adjusting aggregation parameters locally, the method maintains spatial resolution in regions where it is critical while improving statistical quality in regions where aggregation is beneficial.
Solution Approach 2:
The patent introduces a new dimension of information processing by incorporating topological relationships between locations. This allows the aggregation to preserve spatial structure and resolution by considering the geometric and topological context of each location, rather than simply averaging intensities.
3Manufacturing precision
If focused particle beam is used, then electron image resolution is improved, but x-ray radiation volume increases
Solution Approach 1:
The patent segments the x-ray radiation detection into multiple discrete locations, each with its own focused particle beam incidence point. By processing each location separately and then aggregating the results with topological considerations, the method maintains the localized interaction volume benefit while achieving improved statistical quality through combination.
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
The method enhances the statistical quality and spatial resolution of x-ray radiation images, allowing for better differentiation between materials based on their x-ray spectra, even when they have identical electron greyscale values.
Implementation Method 1
directing a particle beam onto a multiplicity of locations of an object... detecting electrons generated by the particle beam directed onto the given location
Implementation Method 2
detecting x-ray radiation generated by the particle beam directed onto the given location
Data Source
AI summary
A method for operating a particle beam microscope comprises scanning an object using a particle beam and detecting electrons and x-ray radiation when scanning an object using a particle beam. Improved x-ray radiation information can be generated by combining weighted x-ray radiation information items according to the formulaSe(r<semantics definitionURL="">→<annotation encoding="Mathematica">"\[Rule]"</annotation></semantics>i)=∑jw(i,j)·S(r<semantics definitionURL="">→<annotation encoding="Mathematica">"\[Rule]"</annotation></semantics>j),wherein S({right arrow over (r)}i) is the detected x-ray radiation intensity assigned to a location {right arrow over (r)}i. The following holds true for the weights, for example:w(i,j)=e-(r<semantics definitionURL="">→<annotation encoding="Mathematica">"\[Rule]"</annotation></semantics>i-r<semantics definitionURL="">→<annotation encoding="Mathematica">"\[Rule]"</annotation></semantics>j)2/σf2·e-(I(r<semantics definitionURL="">→<annotation encoding="Mathematica">"\[Rule]"</annotation></semantics>i)-I(r<semantics definitionURL="">→<annotation encoding="Mathematica">"\[Rule]"</annotation></semantics>j))2/σg2,wherein I({right arrow over (r)}) represents the intensity of the detected electrons that is assigned to the location {right arrow over (r)}, and σf and σg are constants.