Mass Spectrometry Image Comparison for Large Sample Analysis
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Solution Overview
Problem
Existing mass spectrometry data analysis systems struggle with efficiently processing and identifying differences in large sample sets due to computational limitations and inadequate treatment of the ion mobility dimension, leading to cumbersome data storage and processing inefficiencies.
Innovation Solution
Implementing a system that includes an ion mobility separation device, ion detector, and computer system for image and/or video processing of mass spectrometry data, enabling pixel-by-pixel comparison and statistical analysis of data plots to identify differences between sample sets.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional mass spectrometry data processing methods are used, then data can be stored and analyzed, but computational burden increases and processing efficiency decreases when dealing with large sample sets
Solution Approach 1:
The patent creates visual copies (images and videos) of the mass spectrometry data that can be processed and compared more efficiently than the raw numerical data. These visual representations serve as simplified copies that retain the essential information while being much easier to process, allowing rapid comparison across large sample sets without bearing the full computational burden of the original data.
Solution Approach 2:
The patent replaces traditional computational processing methods with image and video processing techniques. By converting mass spectrometry data into visual formats, the system leverages optimized image processing algorithms and hardware acceleration (such as GPU processing) to achieve faster analysis compared to conventional numerical data processing approaches.
2Measurement precision
If detailed mass spectrometry data is processed using conventional methods, then accurate analysis is achieved, but time consumption increases significantly for large sample sets
Solution Approach 1:
The patent creates visual copies (images and videos) of the mass spectrometry data that can be processed and compared more efficiently than the raw numerical data. These visual representations serve as simplified copies that retain the essential information while being much easier to process, allowing rapid comparison across large sample sets without bearing the full computational burden of the original data.
Solution Approach 2:
The patent employs dynamic video representations that can capture temporal changes in the data across multiple time points. This dynamic format allows the system to process and compare changes over time efficiently, maintaining analytical precision while reducing the time required to analyze large sample sets with temporal dimensions.
3Loss of information
If ion mobility dimension is adequately incorporated into data analysis, then more comprehensive insights are gained, but data complexity and processing difficulty increase
Solution Approach 1:
The patent applies dimensional transformation by converting multi-dimensional mass spectrometry data (including ion mobility) into visual image and video representations. This dimensional change allows the system to preserve and analyze the ion mobility dimension and other parameters while simplifying the processing complexity through visual pattern recognition and image processing techniques.
4Quantity of substance
If large sample sets are analyzed using traditional methods, then comprehensive results are obtained, but computational resources and processing time increase significantly
Solution Approach 1:
The patent creates visual copies (images and videos) of the mass spectrometry data that can be processed and compared more efficiently than the raw numerical data. These visual representations serve as simplified copies that retain the essential information while being much easier to process, allowing rapid comparison across large sample sets without bearing the full computational burden of the original data.
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
Facilitates efficient analysis of large sample sets by converting complex data into digestible images or videos, allowing for quick identification of features and differences, thereby reducing computational burden and enhancing data utility.
Implementation Method 1
ion mobility spectrometry (IMS), which is a technique for separating and identifying ions in the gaseous phase based on their mobilities
Implementation Method 2
IMS relies on applying a constant or a time-varying electric field to a mixture of ions within a static or dynamic background gas
Implementation Method 3
ions with different mass-to-charge ratios can undergo different deflections or time dependent response, and can be identified based on the spatial or temporal position of detection by a detector
Data Source
AI summary
Systems and methods for image and/or video processing of mass spectrometry data comprise a processor in communication with a storage device, and computer system code executed by the processor that causes the processor to perform an image or video analysis comparison between a second data plot image or video to a first data plot image or video, and generate a delta dataset based on the comparison. The delta dataset is representative of the differences between the first and second data plots. In additional systems and methods the computer system code can perform an image or video analysis comparison between the first and second data plots and a reference data plot, generate first and second delta datasets based on the comparisons, which are representative of the differences between the first and second data plots and the reference data plot, and perform a statistical analysis on the first and second delta datasets.