Mass Spectrometric Imaging Quality Control via Reference Samples
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Solution Overview
Problem
Mass spectrometric imaging (MSI) for tissue classification faces challenges due to subjective sample preparation methods and insufficient spatial resolution, leading to inaccurate or unreliable results, especially in distinguishing diseased from healthy tissues or different types of diseased tissues, as existing methods are prone to variations and cannot account for the complex contributions of various cell types in tissues.
Innovation Solution
A method involving the use of a control sample alongside the analytical tissue section, processed and measured under the same conditions, to monitor the quality of sample preparation workflows through multivariate feature analysis, allowing for the assessment of mass spectrometric image trustworthiness by comparing acquired spectra against reference control spectra, thereby ensuring accurate classification and reducing false positives.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If control samples are processed alongside analytical tissue sections through the entire workflow, then measurement precision and reliability are improved, but device complexity and processing time increase
Solution Approach 1:
Control samples serve as intermediary reference materials that mediate between the analytical tissue sections and the quality assessment system. These control samples with known characteristics are processed through the entire workflow alongside analytical samples, acting as a bridge to monitor and evaluate preparation quality without requiring complex additional instrumentation.
Solution Approach 2:
The system implements feedback by comparing mass spectra from control samples against reference spectra stored in a database. This feedback mechanism continuously monitors preparation quality throughout the workflow, automatically identifying deviations and enabling corrective actions without manual intervention at each step.
2Measurement precision
If multivariate feature analysis is applied to control sample spectra, then measurement precision is improved, but computational requirements and analysis time increase
Solution Approach 1:
Reference control spectra are pre-acquired and stored in a database before actual analytical measurements. This preliminary action creates a ready-to-use reference framework that enables rapid comparison and quality assessment during subsequent analyses, avoiding the need to perform complete multivariate analysis from scratch for each sample.
Solution Approach 2:
The system creates copies of control sample mass spectra and stores them as reference data in a database. These spectral copies can be rapidly retrieved and compared against new measurements without requiring the original control samples to be re-prepared or re-measured, significantly reducing analysis time while maintaining precision.
Data Source
AI summary
The invention relates to a method for monitoring a quality of preparation workflows of analytical tissue sections for mass spectrometric imaging using a control sample to be processed and measured alongside the analytical tissue sections on the same sample support and ascertaining if characteristics of the control sample measurement fit into a range of characteristics of separate reference measurements from the same type of control sample.