Digital PCR Data Visualization with Signal Map Correction
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Solution Overview
Problem
Current methods for digital PCR data visualization do not allow for the distinction between different categories of corrected signals or partitions based on the reason for correction, nor do they enable manual exclusion or inclusion of these categories for reliable data interpretation, especially in complex samples with minimal target nucleic acids.
Innovation Solution
A method that classifies detected signals from partitions in a biological analysis system, automatically identifies and corrects erroneous signals, and visualizes them in a signal map, allowing manual adjustment and reclassification of categories using interactive tools to improve data interpretation and accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If traditional dPCR data visualization methods are used, then data processing is simple, but the ability to distinguish between different categories of corrected signals is lost
Solution Approach 1:
The patent segments corrected partitions into different categories based on correction reasons (e.g., dust, bubbles, scratches). Each category is visually represented with distinct indicators in the signal map, allowing users to distinguish and analyze different types of corrections separately. This segmentation preserves information about correction reasons while maintaining manageable complexity through systematic classification.
Solution Approach 2:
The patent uses different colors or visual indicators to represent different categories of corrected partitions in the signal map. This color-coding system allows users to quickly identify and distinguish between various correction reasons (e.g., dust particles, bubbles, scratches) without increasing processing complexity, as the categorization is automatically performed by the system.
2Productivity
If automatic correction of all erroneous signals is performed, then data processing efficiency is improved, but the ability to manually adjust and review corrections is reduced
Solution Approach 1:
The patent implements a dynamic system where corrected partitions are automatically identified and categorized, but users can interactively adjust the corrections through the graphical interface. Users can review the signal map, modify category assignments, or exclude/include specific partitions based on their expertise. This dynamic approach maintains high processing efficiency while preserving manual oversight capability.
Solution Approach 2:
The system provides visual feedback through the signal map displaying corrected partitions with their category indicators. Users can review these corrections and provide feedback by adjusting the categorization or exclusion decisions. This feedback loop ensures that automatic correction efficiency is maintained while allowing manual intervention when needed, creating a collaborative correction process.
3Measurement precision
If all corrected partitions are excluded from analysis, then data accuracy is improved, but the loss of potentially valid data increases
Solution Approach 1:
The patent applies different quality assessments to different partitions based on their specific correction reasons and characteristics. Instead of uniformly excluding all corrected partitions, the system allows selective inclusion or exclusion based on the correction category and user judgment. This local quality approach preserves potentially valid data while maintaining accuracy by excluding only those partitions that truly compromise data integrity.
Solution Approach 2:
The system changes the analysis parameters for different partition categories. Corrected partitions can be included in analysis with modified weighting or confidence levels based on their correction reason. This parameter change approach allows the system to maintain measurement precision by accounting for correction reasons while preserving more data than complete exclusion would allow.
Data Source
AI summary
The present invention provides methods for visualization, reviewing and manipulating of dPCR data. Furthermore, the present invention provides systems for dPCR data visualization, reviewing and manipulating and computer-readable storage media with instructions for dPCR data visualization, reviewing and manipulating. In addition, the use of such systems and computer-readable storage media for dPCR data visualization, reviewing and manipulating is provided.