Nucleic Acid Sequencing Signal Processing and Noise Reduction
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Solution Overview
Problem
Current nucleic acid sequencing technologies face challenges in processing and analyzing large volumes of data efficiently, requiring methods that enhance accuracy, speed, and throughput while minimizing noise and improving signal quality.
Innovation Solution
The implementation of a system and method for high-throughput nucleic acid sequencing using a flow cell and sensor array that processes raw data through modules for classification, signal processing, and noise reduction, employing pH-based sequencing and reagent flow control to enhance data analysis and accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If large volumes of sequencing data are processed using conventional methods, then throughput increases, but accuracy and signal quality deteriorate due to noise and processing limitations
Solution Approach 1:
The system segments the sequencing data processing into distinct functional modules: raw data acquisition from sensor array, signal processing stage, noise reduction stage, and analysis stage. Each module handles specific aspects of data processing independently, allowing optimized processing of large volumes while maintaining accuracy through specialized handling at each stage
Solution Approach 2:
The patent introduces intermediate processing stages between raw data acquisition and final analysis. Signal processing modules act as intermediaries that condition and prepare data, while noise reduction algorithms serve as intermediary layers that filter unwanted signals before the final sequencing results are generated, thereby maintaining accuracy during high-throughput processing
2Measurement precision
If signal processing is intensified to improve accuracy, then measurement precision increases, but processing time and computational resources increase
Solution Approach 1:
The system performs preliminary signal processing and noise reduction operations during the data acquisition phase rather than as separate post-processing steps. The sensor array and flow cell system prepare and condition signals in advance, reducing the computational burden and time required for subsequent analysis of large datasets
Solution Approach 2:
The patent implements continuous signal processing throughout the sequencing operation. Rather than batch processing, the system continuously acquires, processes, and analyzes signals in real-time, maintaining constant optimization of signal quality without interrupting the high-throughput sequencing workflow, thereby avoiding time losses
3Measurement precision
If noise reduction techniques are applied to improve signal quality, then measurement precision improves, but device complexity increases
Solution Approach 1:
The patent extracts and isolates noise components from the sequencing signals through dedicated noise reduction modules. By separating noise identification and removal as distinct functions from the main processing pipeline, the system improves signal quality while managing complexity through modular design that allows independent optimization of noise reduction algorithms
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 enables increased accuracy and efficiency in nucleic acid sequencing by effectively processing and analyzing large data volumes, reducing noise, and improving signal quality, thereby enhancing the overall throughput of sequencing data.
Implementation Method 1
receiving a series of signals from a sensor array, each signal being indicative of a hydrogen ion concentration in a defined space
Data Source
AI summary
A method for nucleic acid sequencing includes receiving a plurality of signals indicative of a parameter measured for a plurality of defined spaces, at least some of the defined spaces including one or more sample nucleic acids, the signals being responsive to a plurality of nucleotide flows introducing nucleotides to the defined spaces; determining, for at least some of the defined spaces, whether the defined space includes a sample nucleic acid; processing, for at least some of the defined spaces determined to include a sample nucleic acid, the received signals to improve a quality of the received signals; and predicting a plurality of nucleotide sequences corresponding to respective sample nucleic acids for the defined spaces based on the processed signals and the nucleotide flows.