Charged Particle Microscope Data Analysis System for Touching Particle Separation
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Solution Overview
Problem
Current data analysis systems for charged particle microscopes face challenges in accurately separating and analyzing individual particles in microscopic images, particularly when particles are touching or appear to touch due to limited resolution, leading to inaccurate particle mineral analysis results.
Innovation Solution
A data analysis system and method that uses a graphical user interface to generate separation data and visually mark separation cuts in microscopic images, allowing for the accurate separation of particles and generation of separate analysis data for each individual particle, utilizing techniques such as edge detection filters and X-ray intensity data for precise analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If automatic detection of individual particles is performed in SEM images, then analysis efficiency is improved, but measurement precision deteriorates because particles touching or appearing to touch due to limited resolution cannot be accurately separated
Solution Approach 1:
The patent introduces a manual separation cut tool as an intermediary between automatic particle detection and final analysis. This tool allows users to visually inspect particle boundaries and draw separation lines through touching particles, serving as a mediator that corrects the limitations of automatic detection while maintaining overall workflow efficiency.
Solution Approach 2:
The system implements feedback by allowing users to review and adjust particle separations visually. The analysis workflow includes a review step where users can examine detected particles and modify separations using separation cut tools, creating a feedback loop that improves measurement precision while maintaining productivity.
2Measurement precision
If manual separation of touching particles is performed, then measurement precision is improved, but productivity deteriorates due to time-consuming manual intervention
Solution Approach 1:
The patent applies partial action by allowing users to intervene only when necessary - specifically for touching or overlapping particles that automatic detection cannot separate. Most non-touching particles are automatically analyzed without manual intervention, while only problematic cases require user input, thus maintaining high productivity while improving precision where needed.
Solution Approach 2:
The system performs self-service through automatic particle detection and initial separation for non-touching particles. The automatic detection algorithm handles the majority of particles independently, and only cases requiring manual separation are flagged for user intervention, allowing the system to serve itself for routine cases while reserving human expertise for complex situations.
3Measurement precision
If separation cuts are applied to separate touching particles, then analysis accuracy is improved, but device complexity increases due to additional separation tools and visual marking features
Solution Approach 1:
The patent extracts the separation cut functionality as a distinct, dedicated tool within the analysis software. By separating this function from the overall particle detection workflow and providing it as a specific tool with dedicated controls and visual feedback, the system manages complexity through functional decomposition while maintaining improved measurement precision.
Data Source
AI summary
A data analysis system is disclosed for generating analysis data depending on microscopic data of an object generated by a charged particle microscope. The microscopic data includes an image showing a structure. A graphical representation of the structure is displayed on the display by the graphical user interface. Separation data is generated representing at least one path of a separation cut, which separates pixels of the structure from each other. The separation cut is visually marked by the graphical user interface, depending on the separation data, by differently marking different area portions of the representation, which represent different pixels of the structure which are separated from each other by the separation cut. Separate analysis data are generated for each of at least two portions of the object, depending on the microscopic data and depending on the separation data.