Semiconductor Sequencing Chip Signal Extraction for Lower Computing Load
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Solution Overview
Problem
High-throughput and ultra-high-throughput gene sequencing technologies face significant computing resource challenges due to the complexity of image processing algorithms required for identifying bases, leading to unacceptable computing loads.
Innovation Solution
A sequencing method and system that utilize a semiconductor sequencing chip with core rows, where each core row contacts a reagent to emit or not emit light, with data read in units of core rows, and a target template is determined to simplify data processing, reducing the amount of data to be processed.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If complex image processing algorithms are used to identify bases from pixel signals, then base identification accuracy is improved, but computing load becomes unacceptable
Solution Approach 1:
The patent extracts only the essential signal characteristics needed for base identification rather than processing complete images. By reading pixel signals directly and extracting relevant features, the system avoids the computational burden of complex image processing while maintaining base identification accuracy.
Solution Approach 2:
The patent replaces the mechanical/image processing approach with a direct electrical signal reading approach. Instead of capturing and processing optical images through complex algorithms, the system directly reads electrical signals from pixel electrodes, substituting a simpler signal processing mechanism for the complex image processing system.
2Reliability
If all pixel data is read and processed to obtain images for clustering, then complete base identification is achieved, but data processing amount becomes excessive
Solution Approach 1:
The patent extracts only the necessary signal data from pixel electrodes rather than processing complete image data. By directly reading pixel signals and extracting relevant information for base identification, the system maintains identification completeness while dramatically reducing data processing volume.
Solution Approach 2:
The patent performs preliminary signal extraction and processing at the pixel level before data transmission. By pre-processing signals to extract only essential information and then transmitting reduced data sets, the system maintains complete base identification while improving overall processing efficiency.
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 reduces data processing requirements, allowing for efficient and accurate gene sequencing by simplifying data processing and reducing computational load.
Implementation Method 1
the semiconductor sequencing chip completes acquisition and analog-to-digital conversion of an electrical signal or an optical signal through an internal integrated circuit
Data Source
AI summary
Disclosed is a sequencing method for a semiconductor sequencing chip, a system for processing data and a system for sequencing gene. The semiconductor sequencing chip includes a plurality of core row formed by arranging a plurality of cores. The sequencing method includes: the semiconductor sequencing chip is controlled to be immersed in a reagent used for each round of sequencing reaction in a mode taking the core row as an immersion unit, and a corresponding base is enabled to emit light or not to emit light when the semiconductor sequencing chip is immersed in the substrate reagent; each time when one unit of core row is immersed in the substrate reagent, data output by the core row immersed in the reagent is read at least once until all the core rows are immersed in the substrate reagent, a target template is determined according to the data output by the first core row, a signal range that whether the base emits light or not is defined, and data output by the remaining core rows is simplified by the target template to obtain optical signal data; and the type of the base is determined according to the optical signal data.