Imaging Mass Spectrometry Data Processing Device for Mass Accuracy Evaluation
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Solution Overview
Problem
Conventional imaging mass spectrometry data processing devices struggle to accurately evaluate the quality and accuracy of mass spectrometry images due to discrepancies between specified and observed mass-to-charge ratios, leading to potential misidentification of compounds and reduced image accuracy.
Innovation Solution
An imaging mass spectrometry data processing device that calculates mass differences between specified and observed mass-to-charge ratios for each micro area, creating a two-dimensional mass difference image and providing index values to assess overall mass differences, enabling users to distinguish between high and low-quality images.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional image creation processing is used to generate mass spectrometry images, then image creation speed is maintained, but mass accuracy evaluation capability is insufficient leading to potential misidentification of compounds
Solution Approach 1:
The data processing is segmented into distinct functional modules: a mass difference calculation unit that computes mass differences for each micro area, and a mass difference image creation unit that generates visual representations. This segmentation allows the system to add comprehensive mass accuracy evaluation without overwhelming the overall processing complexity, as each module handles a specific task independently.
Solution Approach 2:
The system performs preliminary mass difference calculation for each micro area before final image creation. By pre-calculating mass differences between observed and specified mass-to-charge ratios, the system prepares quality evaluation data in advance, enabling both accurate compound identification and efficient subsequent image generation without redundant processing.
2Measurement precision
If mass difference calculation is performed for each micro area to improve image quality assessment, then image accuracy is improved, but processing time increases
Solution Approach 1:
The mass difference calculation is performed automatically as an integral part of the image creation process. The calculation unit autonomously computes mass differences using stored profile data and specified compound information, eliminating the need for manual quality assessment and reducing overall processing time despite the added computational step.
Solution Approach 2:
The system implements feedback by using calculated mass differences to evaluate and control image quality. The mass difference values provide direct feedback on measurement accuracy, allowing the system to identify and exclude low-quality data regions, thereby improving overall image reliability without requiring extensive manual review or reprocessing.
3Measurement precision
If the allowable mass-to-charge ratio range is reduced to improve mass accuracy, then compound identification precision is improved, but signal intensity integration becomes insufficient leading to loss of information
Solution Approach 1:
The system dynamically adjusts the integration range based on calculated mass differences. For micro areas with small mass differences (high accuracy), a narrower integration range is used to ensure precise compound identification. For areas with larger mass differences, the system can expand the integration range or apply corrective weighting, thereby preserving signal intensity information while maintaining identification accuracy through adaptive parameter adjustment.
Data Source
AI summary
A peak-waveform conversion processor detects a peak in a profile spectrum created based on data obtained at each measurement point in a sample's measurement area, and acquires a rod-like peak by performing centroid conversion processing on a waveform of the peak having a mountain shape. When an operator specifies a target compound to be observed, a mass difference calculation unit calculates a mass difference between a precise m/z of the target compound and an m/z of a rod-like peak at a position close to the precise m/z for each measurement point. A mass difference image creator creates an image showing a distribution of mass differences based on the calculated mass differences. A mass difference related information calculation unit acquires an index value such as an average value of a plurality of mass differences for each mass difference image, and creates a graph showing a frequency distribution of the mass differences.