Sample Analyzing Device Data Filter for Metabolome Analysis
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Solution Overview
Problem
Metabolomics requires a significant amount of time and labor to analyze large amounts of measurement data due to the increasing number of metabolites in databases used for comprehensive metabolome analysis.
Innovation Solution
A sample analyzing device with a storage section holding information on measurement conditions and data-analysis methods, along with data filters, allows users to select filters for extracting subsets of known compounds, reducing the complexity of analysis by displaying targeted measurement data and all data separately.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a database holds information on a large number of metabolites for comprehensive metabolome analysis, then the coverage of analyzable compounds is improved, but the time and labor required for data analysis increases significantly
Solution Approach 1:
The patent segments the comprehensive metabolome analysis into two modes: a quick analysis mode that processes only a selected subset of compounds relevant to the specific sample type, and a comprehensive analysis mode that processes all compounds in the database. This segmentation allows users to choose appropriate analysis scope based on their needs, reducing unnecessary analysis time while maintaining the ability to perform comprehensive analysis when required.
Solution Approach 2:
The patent implements partial action by providing a filter function that allows users to select and analyze only the subset of compounds relevant to their specific sample (e.g., plant metabolites for plant samples). This partial analysis of only necessary compounds significantly reduces analysis time and computational resources while still providing comprehensive results for the relevant metabolome.
2Reliability
If measurement data for all known compounds is analyzed, then complete metabolome coverage is achieved, but the complexity of data processing increases
Solution Approach 1:
The patent segments the data processing system into two distinct processing paths: one for comprehensive analysis of all compounds and another for filtered analysis of selected compounds. The filter function creates a separate processing stream that handles only relevant compounds, simplifying the data processing complexity while maintaining the option for complete analysis when needed.
Solution Approach 2:
The patent introduces a filter function as an intermediary between the raw measurement data and the analysis results. This intermediary selectively processes only the relevant subset of compounds based on sample type, acting as a mediator that reduces data processing complexity by eliminating unnecessary compounds before they enter the main analysis pipeline.
3Adaptability or versatility
If the database includes information on all possible metabolites, then the comprehensiveness of analysis is improved, but the ease of operation deteriorates due to the huge amount of information
Solution Approach 1:
The patent performs preliminary action by pre-defining filter conditions based on sample types (e.g., plant samples, animal samples, microbial samples). These filters are prepared in advance and can be automatically applied based on the sample category, eliminating the need for users to manually configure complex analysis parameters and making the system easy to operate while maintaining comprehensive analysis capabilities.
Solution Approach 2:
The patent implements self-service by enabling the system to automatically select and apply appropriate filters based on the sample type provided by the user. The system autonomously determines which subset of compounds to analyze without requiring manual configuration, making operation simple for users while internally maintaining the comprehensive database for when full analysis is needed.
Data Source
AI summary
In a sample analyzing device (1), a storage section (21) holds information concerning measurement conditions and data-analysis methods for a plurality of known compounds as well as information concerning a plurality of filters each of which extracts a subset of the known compounds. A measurement controller (224) obtains measurement data of a sample by performing a measurement based on the measurement conditions held in the storage section. A filter selection receiver (221) receives an input for selecting one of the filters as a data-analysis filter. A data-analysis-target-compound extractor (223) extracts, as data-analysis target compounds, a subset of the known compounds by the data-analysis filter. A display controller (226) displays, on a display section (26), a first data-analysis screen for displaying measurement data of the data-analysis target compounds and a second data-analysis screen for displaying all measurement data.