dPCR Quantification Error Reduction via Optical Signal Analysis
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Solution Overview
Problem
Existing digital polymerase chain reaction (dPCR) methods fail to account for quantification errors caused by optical artefacts, which can lead to inaccurate determination of nucleic acid concentration due to impurities or technical issues during signal measurement.
Innovation Solution
A method that analyzes the distribution of optical signals in each reaction area, identifies and excludes reaction areas with uneven signal distribution, thereby eliminating optical artefacts from the calculation of nucleic acid concentration.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If optical signals are measured in all reaction areas, then the productivity of dPCR is maintained, but quantification errors occur due to optical artefacts
Solution Approach 1:
The patent applies preliminary action by analyzing the distribution of optical signals in each reaction area before performing quantification. The method evaluates whether optical signals are evenly distributed across reaction areas in advance, identifying and excluding reaction areas with artefacts before they can contaminate the overall quantification results, thus preventing errors rather than correcting them afterward
Solution Approach 2:
The patent extracts and removes reaction areas with optical artefacts from the quantification calculation. By identifying reaction areas where optical signals are unevenly distributed and excluding these specific areas from the final concentration calculation, the method separates valid data from invalid data, ensuring that artefacts do not affect the overall quantification accuracy
2Measurement precision
If reaction areas with optical artefacts are included in calculation, then the productivity is maximized, but the measurement precision deteriorates
Solution Approach 1:
The patent replaces complex manual inspection and judgment of optical artefacts with an automated computational method. The system automatically analyzes the distribution pattern of optical signals in each reaction area, compares it against expected uniform distribution, and identifies artefact-containing areas through algorithmic evaluation, substituting mechanical/visual assessment with computational analysis
Solution Approach 2:
The method enables the dPCR system to self-diagnose and self-correct for optical artefacts. By having the system automatically detect uneven signal distributions and exclude problematic reaction areas without external intervention, the method allows the system to service itself, improving measurement precision through autonomous quality control
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
This approach significantly enhances the accuracy and precision of nucleic acid quantification by excluding invalid reaction areas, leading to more reliable determination of nucleic acid concentration in dPCR.
Implementation Method 1
determining the distribution of the optical signals in each reaction area
Data Source
Figure 1~3B
AI summary
The present invention relates to a method for reducing quantification errors caused by an optical artefact in digital polymerase chain reaction (dPCR) and to a method for determining the amount or concentration of a nucleic acid of interest in a sample with dPCR.