Laser Ablation Image Recognition for Zircon Positioning
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Solution Overview
Problem
Analytical laser ablation systems face precision issues due to bi-directional repeatability errors in XYZ positioning systems, leading to inaccurate laser placement on small zircon crystal grains, which can result in missed targets and skewed data, especially when handling numerous grains in a single experimental run.
Innovation Solution
A laser ablation system incorporating a camera and software-based image recognition to correct position errors by comparing saved images with real-time images, applying offset movements as needed to ensure precise laser placement on zircon crystal grains, thereby maintaining high precision without requiring costly hardware upgrades.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If bi-directional repeatability errors are present in XYZ positioning systems, then the system can operate with simpler open-loop control, but laser placement precision deteriorates leading to missed targets and skewed data
Solution Approach 1:
The system captures images at intended laser locations during scan placement, then during the experimental run compares current position images with saved kernel images to detect position errors. This feedback mechanism allows the open-loop system to identify and correct positioning deviations without requiring complex closed-loop hardware control.
Solution Approach 2:
The patent replaces mechanical precision requirements with software-based image recognition and processing. Instead of relying on mechanically precise closed-loop positioning systems, the invention uses image comparison algorithms to detect and correct positional deviations, substituting mechanical complexity with computational methods.
2Manufacturing precision
If image comparison and correction procedures are implemented, then laser placement precision is improved, but system complexity and processing time increase
Solution Approach 1:
The system performs scan placement first, capturing and saving kernel images at all intended laser locations before the experimental run begins. This preliminary action organizes reference data in advance, allowing the experimental run to proceed efficiently by simply comparing current positions against pre-saved images rather than performing complex real-time calculations.
Solution Approach 2:
The system creates digital copies (kernel images) of the intended laser locations and their surrounding features during scan placement. These copied images serve as reference templates that are stored and reused during the experimental run, eliminating the need to recalculate or re-acquire reference data and simplifying the correction process.
3Productivity
If numerous zircon crystal grains are analyzed in a single experimental run, then productivity is improved, but cumulative positioning errors increase leading to more missed targets
Solution Approach 1:
By continuously comparing current position images with saved kernel images for each laser location during the experimental run, the system provides ongoing feedback that detects and corrects cumulative positioning errors. This allows the system to maintain position accuracy even when analyzing numerous grains sequentially without requiring hardware intervention.
Solution Approach 2:
The system performs self-correction by automatically detecting position errors through image comparison and calculating necessary offset movements. The motion control system then applies these corrections autonomously without operator intervention, allowing the system to maintain reliability throughout extended experimental runs involving multiple grains.
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 solution significantly enhances the precision of laser placement, reducing errors and ensuring accurate data collection across multiple zircon crystal grains within a single experimental run, without adding hardware costs or complexity to the open-loop XYZ stage control system.
Implementation Method 1
software-based image recognition to correct position errors by comparing saved images with real-time images
Implementation Method 2
ejecting a portion of the target in the form of particles. The ejecting may be done for example by laser ablating a portion of the target with one or more laser pulses
Data Source
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AI summary
Embodiments of the present invention exemplarily described herein relate generally to saving XYZ stage coordinates for intended laser locations as well as a kernel image of an ablation pattern placed during a scan placement process, and comparing the kernel image to a current image of the current field of view of a camera/microscope that includes the location a laser would be fired at. This comparision is used during an experiemental run to correct for any built up error. More particularly, embodiments of the present invention relate to apparatuses and methods for software based image recognition to correct errors in open looped systems for positioning a sample relative to a laser in analysis systems for zircon crystal grain dating.