High-Dynamic-Range Target Quantitation with Low-Occupancy Droplet Imaging
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Solution Overview
Problem
Existing high dynamic range digital quantitation methods for target detection are limited by partition number, format, apparatus cost, statistical error correction, material cost, precision, accuracy, and speed, leading to inefficiencies and inaccuracies in target counting across a wide range.
Innovation Solution
The system employs a high-partition, low-occupancy approach using 3D imaging techniques and droplet-based digital PCR to generate and stabilize droplets with zero or one target each, enabling precise and accurate counting across a dynamic range of up to eight logarithms with high speed and low computational resource use.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If traditional partition-based digital PCR systems are used, then target counting capability is provided, but the number of available partitions is limited and apparatus costs are high
Solution Approach 1:
The system segments the sample into a large number of partitions (droplets, wells, or chambers) to enable digital quantitation. By creating numerous small compartments, the system achieves high partition numbers without requiring a single complex instrument, instead using simpler, more numerous partition units that can be manufactured at lower cost.
Solution Approach 2:
The invention uses computational imaging and signal processing to create virtual copies or representations of partition signals. Through image processing algorithms, the system can detect and count targets across many partitions by analyzing optical signals, effectively multiplying the detection capability without physically multiplying the apparatus components.
2Quantity of substance
If high-partition systems are used to increase counting capacity, then dynamic range is improved, but measurement precision and accuracy deteriorate due to statistical errors
Solution Approach 1:
The system employs statistical error correction factors that provide feedback to adjust and refine the target count assessment. By calculating correction factors based on the distribution of targets across partitions and applying these to the raw counts, the system compensates for statistical variations and maintains high precision and accuracy across the full dynamic range.
Solution Approach 2:
The invention changes the occupancy regime from high-occupancy to low-occupancy (where most partitions contain zero or one target). This parameter change in the distribution of targets across partitions reduces statistical errors and improves measurement precision while maintaining an extended dynamic range through the large number of available partitions.
3Quantity of substance
If traditional digital quantitation methods are used, then target counting is achieved, but speed performance is low and computational resource use is high
Solution Approach 1:
The system replaces traditional mechanical or sequential detection methods with computational imaging and parallel processing. By capturing images of multiple partitions simultaneously and using computational algorithms to analyze the signals, the system achieves high-speed performance without the mechanical limitations of sequential detection, while actually reducing computational resource requirements through efficient image processing.
4Loss of substance
If partition-based systems operate in high-occupancy regime, then material use is reduced, but statistical error correction is required and precision is insufficient
Solution Approach 1:
The invention fundamentally changes the occupancy parameter from high to low, ensuring that most partitions contain zero or one target molecule. This low-occupancy regime eliminates the need for statistical error correction factors, provides sufficient measurement precision inherently, and actually reduces material costs by enabling more efficient use of reagents across a larger number of partitions.
Data Source
AI summary
The disclosure provides compositions, methods, and systems for implementation of high-performance molecular diagnostic assays, where generation of counts of targets from a sample is achieved in a rapid manner, with respect to sample partitioning and target detection, in the single-molecule regime.