Imaging Mass Spectrometer for Multi-Modal Image Classification
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Solution Overview
Problem
Current imaging mass spectrometry analysis relies heavily on manual comparison of graphics from different methods, leading to subjective and inefficient processing, especially when dealing with large datasets and multiple analysis methods.
Innovation Solution
An imaging mass spectrometer that acquires and processes data from multiple analysis methods, including mass spectrometry, Raman spectroscopy, and others, by normalizing signal intensity and aligning spatial resolutions, followed by hierarchical cluster analysis to classify images based on similarity, enabling objective and efficient analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If manual comparison of imaging graphics from different analysis methods is performed, then analysis can be conducted on multiple methods, but objectivity and efficiency are poor
Solution Approach 1:
The patent replaces manual mechanical comparison with automated image processing and statistical analysis systems. The system automatically acquires imaging graphics from multiple analysis methods (mass spectrometry, infrared spectroscopy, Raman spectroscopy, fluorescence analysis), performs normalization processing, and conducts objective comparison through computational algorithms, eliminating the inefficiency of manual work while maintaining the ability to handle multiple analysis methods.
2Ease of operation
If manual comparison of imaging graphics is performed, then flexibility in analysis is maintained, but objectivity of comparison deteriorates
Solution Approach 1:
The patent introduces an intermediary computational processing system that acts as a mediator between different analysis methods. This system includes normalization processing units and statistical analysis modules that objectively process and compare imaging graphics from multiple sources. The intermediary system maintains analytical flexibility by allowing configuration of different analysis parameters while ensuring objective comparison through standardized computational procedures, eliminating subjectivity inherent in manual comparison.
Data Source
AI summary
An imaging mass spectrometer includes: a storage configured to acquire and store data constituting a first imaging graphic indicating an ion intensity distribution in a specific one or plurality of m/z or m/z ranges based on data obtained by mass spectrometry for a sample; a Raman imaging data acquisition unit configured to acquire and store data constituting one or plurality of second imaging graphics obtained by Raman analysis that is a type different from mass spectrometry for the sample; a signal intensity normalization processor configured to perform data conversion processing of normalizing signal intensity in one or plurality of first and second imaging graphics; an adjustment processor configured to perform data processing of aligning spatial resolutions of the one or plurality of first and second imaging graphics; and a statistical analysis processor configured to execute statistical analysis processing on images and to classify the first and second imaging graphics.