Spectrometric Sampling of Irregular Ablation Areas With Dynamic Beam Scanning
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Solution Overview
Problem
Existing spectrometric analysis methods face challenges in accurately sampling and analyzing sample material from ablation areas with irregular shapes, leading to reduced specificity and increased complexity due to the need for precise beam adjustments and extensive data collection.
Innovation Solution
A method involving beam-assisted sampling with multiple beam impingement regions adapted to the shape and dimensions of the ablation area, allowing for efficient sampling of molecular information without spatial displacement, and combining data into a single spectral dataset, while minimizing mechanical wear and electronic noise.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If a large scanning beam is used to cover the entire ablation area, then the sampling completeness is improved, but the spectral specificity deteriorates due to inclusion of surrounding material
Solution Approach 1:
The ablation area is divided into multiple scanning regions that are processed sequentially. The beam is positioned at different locations within the ablation area, and spectra are collected from each region. These regional spectra are then combined to create a complete spectral representation of the entire ablation area, thereby achieving both sampling completeness and spectral specificity.
Solution Approach 2:
The beam position is dynamically adjusted across multiple locations within the ablation area rather than using a single fixed position. The system adapts the scanning pattern to match the irregular shape of the ablation area, moving the beam to cover the entire region while maintaining appropriate beam-sample interaction parameters at each location.
2Measurement precision
If a small scanning beam is used to maintain spectral specificity, then the measurement precision is improved, but the sampling completeness deteriorates
Solution Approach 1:
The ablation area is segmented into multiple scanning regions that are processed sequentially. The beam is positioned at different locations within the ablation area, and spectra are collected from each region. These regional spectra are then combined to create a complete spectral representation of the entire ablation area, thereby achieving both sampling completeness and spectral specificity.
Solution Approach 2:
Spectra collected from multiple separate scanning positions are merged into a single composite spectral dataset. The system combines the molecular information from all scanned regions to generate a comprehensive spectrum that represents the entire ablation area, achieving sampling completeness while maintaining the spectral specificity of individual measurements.
3Productivity
If the beam impingement region shape matches the irregular ablation area shape, then the sampling efficiency is improved, but the device complexity increases due to multiple beam adjustments
Solution Approach 1:
The beam impingement region is dynamically adjusted in size and position to adapt to the irregular shape of the ablation area. The system modifies the beam parameters and scanning pattern in real-time to optimize coverage of the entire ablation region, improving sampling efficiency while using a relatively simple beam delivery system.
Solution Approach 2:
The beam parameters (such as diameter, focus, and power) are changed during the scanning process to optimize sampling at different locations within the ablation area. By adjusting beam parameters dynamically, the system achieves efficient sampling of irregularly shaped regions without requiring complex mechanical reconfiguration.
4Quantity of substance
If extensive scanning is performed to cover the entire ablation area, then the sampling completeness is improved, but the measurement time increases
Solution Approach 1:
The ablation area is divided into multiple scanning regions that are processed sequentially. This segmentation allows the system to efficiently cover the entire area by focusing the beam on specific regions rather than performing exhaustive scanning, thereby reducing total measurement time while maintaining sampling completeness.
Solution Approach 2:
The system performs preliminary identification of the ablation area boundaries and characteristics before the actual spectral scanning. This preliminary action allows optimization of the scanning pattern and beam parameters in advance, enabling faster and more efficient data collection during the main measurement phase.
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 enhances the acquisition of molecular information, reduces mechanical wear, and improves data quality by using the dynamic range of detectors, allowing for faster and more efficient sampling with fewer adjustments, thus improving the accuracy and completeness of spectral data.
Implementation Method 1
beam-assisted sampling from the ablation area and mass analyzing the ablated and/or desorbed and ionized sample material
Implementation Method 2
beam-assisted sampling from the ablation area and mass analyzing the ablated and/or desorbed and ionized sample material
Implementation Method 3
beam-assisted sampling from the ablation area and mass analyzing the ablated and/or desorbed and ionized sample material
Data Source
AI summary
Devices and methods for the spectrometric analysis of sample material located in an ablation area on a sample support are disclosed, including a mode of operation which comprises: (i) locating the ablation area on the sample support and determining an ablation area dimension between opposing boundaries of the ablation area; (ii) beam-assisted sampling from the ablation area, e.g., using MALDI, and mass analyzing, e.g., using an IMS-QoTOF analyzer, the ablated and/or desorbed and ionized sample material, wherein a beam impingement region, which is selected no larger than the dimension of the ablation area, is moved within the boundaries of the ablation area while performing ablation and/or desorption operations and an extension of the beam impingement region is changed at least once; and (iii) combining the molecular information obtained by the ablation and/or desorption operations from the ablation area into a single spectral dataset.