Multi-Modal Mineral Analysis Using Electron Imaging Clustering
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Solution Overview
Problem
Current mineral analysis systems, such as Qemscan and MLA, require a significant amount of time to acquire x-ray spectra due to the low probability of characteristic x-ray emission and the need for large numbers of x-rays to distinguish elemental peaks, while backscattered electron imaging is faster but provides limited compositional information.
Innovation Solution
A method combining data from different analytical modalities, such as backscattered electron and x-ray spectroscopy, to enhance the acquisition rate and resolution of compositional information, where the faster acquisition rate of one modality is used to supplement the other, allowing for simultaneous or sequential detection and integration of signals from different detectors with varying integration times.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If x-ray spectroscopy is used to determine compositional information, then measurement precision is improved, but productivity deteriorates due to the time required to accumulate sufficient x-ray spectra
Solution Approach 1:
The patent combines data from multiple analytical modalities (backscattered electron imaging, secondary electron imaging, and x-ray spectroscopy) into a unified analysis framework. By merging these different data types, the system achieves accurate compositional information faster than traditional x-ray spectroscopy alone, resolving the contradiction between measurement precision and productivity
Solution Approach 2:
The system performs preliminary clustering of data points based on backscattered electron and secondary electron images before conducting full x-ray spectral analysis. This preliminary sorting groups similar materials together, so that when x-ray spectra are collected, data from multiple clustered points can be combined to achieve sufficient spectral quality faster, improving both precision and speed
2Measurement precision
If the number of x-rays collected is increased to improve spectral quality, then measurement precision is improved, but loss of time increases
Solution Approach 1:
The patent applies partial action by collecting x-ray spectra at fewer dwell points than traditional methods would require, using the clustering information from electron imaging to compensate. Instead of collecting excessive x-ray data at every point, the system collects partial spectra at strategically selected points and uses clustering to reconstruct complete compositional information, reducing time loss while maintaining spectral quality
Solution Approach 2:
The system creates copies of compositional information by combining spectral data from multiple clustered dwell points. Rather than requiring one high-quality spectrum per point, the patent copies and combines spectral information across spatially clustered points, achieving the same measurement precision with less total acquisition time
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 significantly reduces the time required to acquire sufficient compositional data, enabling faster and more efficient analysis of mineral samples by leveraging the faster acquisition rate of backscattered electron imaging to enhance x-ray spectroscopy, thus improving the speed and accuracy of mineral identification.
Implementation Method 1
When an electron in the primary beam impacts the sample, the electron loses energy by a variety of mechanisms. One energy loss mechanism includes transferring the electron energy to an inner shell electron, which can be ejected from the atom as a result. An outer shell electron will then fall into the inner shell, and a characteristic x-ray may be emitted.
Implementation Method 2
Backscattered electrons are typically detected by a solid state detector in which each backscattered electron is amplified as it creates many electron-hole pairs in a semiconductor detector. The backscattered electron detector signal is used to form an image as the beam is scanned
Implementation Method 3
Secondary electrons, Auger electrons, elastically and inelastically forward or backward scattered electrons, and light can be emitted from the surface upon impact of a primary electron beam and can be used to form an image of the surface
Data Source
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AI summary
Information from multiple detectors acquiring different types of information is combined to determine one or more properties of a sample more efficiently than the properties could be determined using a single type of information from a single type of detector. In some embodiments, information is collected simultaneously from the different detectors which can greatly reduce data acquisition time. In some embodiments, information from different points on the sample are grouped based on information from one type of detector and information from the second type of detector related to these points is combined, for example, to create a single spectrum from a second detector of a region of common composition as determined by the first detector. In some embodiments, the data collection is adaptive, that is, the data is analyzed during collection to determine whether sufficient data has been collected to determine a desired property with the desired confidence.