Mass Spectrometry Imaging Morphometric Analysis
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Solution Overview
Problem
Current mass spectrometry imaging methods rely solely on intensity values associated with ions, making it difficult to differentiate between biological samples with similar spectral signatures but different tissue or cellular organizations, necessitating additional analysis methods like staining for tissue organization identification.
Innovation Solution
Characterizing samples based on morphometric and texture data derived from the spatial arrangement of ions, using imaging data from mass spectrometry to quantify and analyze geometric shapes and their arrangements, allowing for the differentiation of samples with identical molecular profiles.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If mass spectrometry imaging relies solely on intensity values associated with ions, then the analysis is simple and direct, but it becomes difficult to differentiate between biological samples with similar spectral signatures but different tissue or cellular organizations
Solution Approach 1:
The patent transitions from analyzing only intensity values (one dimension) to incorporating spatial arrangement data (adding spatial dimension). By extracting morphometric features such as shape, size, and spatial distribution patterns of ion clusters, the method adds a new dimension of analysis that enables differentiation between samples with similar spectral profiles but different tissue organizations.
Solution Approach 2:
The patent segments the mass spectrometry data by identifying and analyzing discrete ion clusters or morphological units within the tissue sample. Instead of treating the entire spectrum as a uniform intensity distribution, the method segments the data into spatially distinct regions and extracts morphometric characteristics from each segment, enabling detailed comparison of tissue architecture.
2Measurement precision
If additional analysis methods like staining are used to identify tissue organization, then tissue structure can be identified, but the complexity of the analysis increases and requires combining multiple techniques
Solution Approach 1:
The patent makes the mass spectrometry imaging system multi-functional by enabling it to perform both molecular identification (through intensity analysis) and morphological characterization (through spatial arrangement analysis) within a single technique. This universal approach eliminates the need to combine mass spectrometry with staining methods, as the MSI system itself can extract both types of information from the same data set.
Solution Approach 2:
The patent merges the functions of molecular analysis and morphological analysis into a single integrated method. By combining intensity-based spectral analysis with spatial arrangement-based morphometric analysis within the same mass spectrometry imaging workflow, the method consolidates multiple analytical approaches into one unified system, reducing overall complexity.
3Loss of information
If morphometric and texture data are extracted from spatial arrangement of ions, then additional information beyond spectral intensities is provided, but the data processing and analysis complexity increases
Solution Approach 1:
The patent performs preliminary processing of the mass spectrometry imaging data by pre-segmenting the data into ion clusters and pre-calculating morphometric features during the data acquisition phase. This preliminary action prepares the data in advance for comparison, reducing the computational burden during subsequent analysis stages and making the additional morphometric analysis more manageable.
Data Source
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AI summary
The invention relates to a method for characterising a sample by mass spectrometry imaging (MSI) according to which a spatial arrangement of at least one ion in said sample is characterised from imaging data associated with said ion, in terms of morphology and/or texture.