Image Recognition Laser Ablation Position Recall
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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 zircon crystal grains, which can result in missed targets and skewed data, especially when handling a large number of small grains.
Innovation Solution
Software-based image recognition is used to compare saved XYZ stage coordinates and kernel images of the ablation pattern with current camera/microscope views during an experimental run, allowing for corrective movements to ensure precise laser placement by calculating and applying offset moves to correct positioning errors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If an open-loop XYZ positioning system is used for laser ablation, then device complexity is reduced, but positioning precision deteriorates due to bi-directional repeatability errors
Solution Approach 1:
The system captures images at intended laser locations and uses image recognition to detect actual grain positions, comparing them with the planned pattern. This feedback loop identifies positioning errors and enables corrective actions, resolving the precision issue in open-loop systems without adding complex hardware feedback mechanisms
Solution Approach 2:
The patent replaces reliance on mechanical positioning precision with a software-based image recognition and pattern matching system. Instead of depending on the mechanical XYZ stage accuracy, the system uses visual detection and computational methods to locate and correct positioning deviations
2Manufacturing precision
If manual operator intervention is used to correct positioning errors, then positioning precision can be maintained, but productivity decreases due to time-consuming corrections
Solution Approach 1:
The system automatically detects positioning errors through image recognition and calculates corrective offsets without requiring manual operator intervention. The software autonomously compares actual grain positions with intended locations and determines necessary corrections, enabling the system to self-correct positioning deviations
Solution Approach 2:
Automatic feedback through image comparison enables real-time detection and correction of positioning errors during experimental runs, eliminating the need for manual intervention and maintaining both precision and productivity
3Device complexity
If the laser ablates at incorrect positions due to positioning errors, then data accuracy deteriorates, but the positioning system operates without additional complexity
Solution Approach 1:
The system performs preliminary image capture and pattern recognition before laser ablation at each location. By verifying the actual position matches the intended position beforehand, the system prevents inaccurate ablation and ensures data reliability before the analytical measurement occurs
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 method significantly improves the precision of laser placement in open-loop XYZ stage control systems without requiring additional hardware, ensuring accurate targeting of zircon crystal grains and reducing the need for manual operator intervention.
Implementation Method 1
The ejecting may be done for example by laser ablating a portion of the target with one or more laser pulses
Implementation Method 2
the ejected particles are typically entrained by the flowing carrier gas and transported to an analysis system
Data Source
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 comparison is used during an experimental 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.


