Biochip Detection via Multi-Intensity Fluorescence Imaging
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Solution Overview
Problem
Existing biochip detection methods face challenges in achieving accurate detection due to high demands on chip imaging quality and uniformity, which can adversely affect detection accuracy if not met.
Innovation Solution
A biochip detection method involving PCR amplification and irradiation with excitation light rays of varying intensities, followed by image collection and data processing to determine the quantity of positive micro-reaction chambers, improving detection accuracy by processing multiple images under different light intensities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a parameter-dependent method with signal intensity threshold is used for detection, then the detection process is simplified, but high chip imaging quality and uniformity are demanded which increases system complexity and reduces ease of operation
Solution Approach 1:
The patent applies parameter changes by capturing fluorescence images at multiple excitation light intensities rather than relying on a single threshold value. This transforms the detection approach from a static threshold-based method to a dynamic multi-parameter method, where the fluorescence signal is measured across a range of excitation intensities, thereby reducing dependence on precise imaging quality and uniformity.
2Measurement precision
If multiple images under different light intensities are collected and processed, then detection accuracy is improved, but the detection time and processing complexity increase
Solution Approach 1:
The patent implements periodic action by systematically varying the excitation light intensity across multiple discrete levels and capturing images at each level. This periodic variation in excitation intensity creates a series of fluorescence images that can be processed to extract quantitative information, improving detection accuracy while maintaining a structured and efficient acquisition process.
Solution Approach 2:
The patent applies preliminary action by performing automated image processing and data analysis on the multi-intensity fluorescence images to generate quantitative detection results. This preliminary processing of the captured images, including intensity normalization and positive chamber identification, reduces the need for manual intervention and accelerates the overall detection workflow.
3Device complexity
If threshold-based methods are used for positive micro-reaction chamber identification, then the processing is simpler, but detection accuracy is adversely affected when imaging quality varies
Solution Approach 1:
The patent applies dynamics by transitioning from a static threshold-based identification method to a dynamic analysis approach that considers fluorescence signal characteristics across multiple excitation intensities. This dynamic method adapts to variations in imaging quality by analyzing the relationship between excitation intensity and fluorescence signal, thereby improving detection accuracy without requiring excessively complex processing.
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
Enhances detection accuracy by overcoming the limitations of individual threshold-based methods, providing a more reliable quantification of positive micro-reaction chambers and copies of the sample through advanced image processing techniques.
Implementation Method 1
irradiating the biochip with excitation light rays at different intensities, and collecting images of the biochip under the excitation light rays, the excitation light rays being used to excite a fluorescent probe in the to-be-tested sample to emit light
Data Source
AI summary
The present disclosure relates to the field of biochip detection, and provides a biochip detection method, a biochip detection device, and an biochip detection apparatus. The biochip detection method includes: introducing a to-be-tested sample into a biochip, the biochip including a plurality of micro-reaction chambers; performing PCR amplification on the to-be-tested sample in the biochip; irradiating the biochip with excitation light rays at different intensities, and collecting images of the biochip under the excitation light rays at different intensities, the excitation light rays being used to excite a fluorescent probe in the to-be-tested sample to emit light; performing data processing on the collected images to obtain the quantity of positive micro-reaction chambers; and calculating the quantity of copies of the to-be-tested sample in accordance with the quantity of positive micro-reaction chambers.