Biochip Image Analysis for Uneven Fluorescence and Low SNR
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Solution Overview
Problem
Existing biochip image analysis methods struggle with high throughput and low signal-to-noise ratios, particularly in uneven fluorescent illumination, making it difficult to accurately identify and analyze positive or negative samples.
Innovation Solution
A method involving image preprocessing, angle deflection correction, and enhancement processing, including Gaussian filtering, Hough circle transformation, principal component analysis, and notch filtering, to enhance periodic patterns and accurately determine sample positions and types.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional image processing methods are used on biochip images, then the processing speed is fast, but the signal-to-noise ratio is low and identification accuracy deteriorates
Solution Approach 1:
The patent divides the biochip image processing into multiple stages: preprocessing (Gaussian filtering, high-frequency component extraction), angle deflection correction, enhancement processing (notch filtering), and identification. This segmentation allows each stage to optimize for its specific function, improving overall accuracy without sacrificing throughput.
Solution Approach 2:
The patent performs preliminary actions including camera calibration to obtain intrinsic parameters and distortion coefficients, Gaussian filtering to remove noise, and high-frequency component extraction before main processing. These preliminary steps prepare the image data, ensuring better signal-to-noise ratio and identification accuracy in subsequent steps.
2Reliability
If conventional filtering methods are applied, then processing is simple, but uneven fluorescent illumination cannot be effectively corrected
Solution Approach 1:
The patent changes the frequency domain parameters by extracting high-frequency components through Gaussian filtering and applying notch filters at specific frequencies. This parameter transformation effectively corrects uneven fluorescent illumination patterns while maintaining a systematic and manageable processing complexity.
3Productivity
If high throughput processing is implemented, then processing speed increases, but signal-to-noise ratio decreases
Solution Approach 1:
The patent applies periodic action through notch filtering at specific frequencies corresponding to the periodic illumination patterns in biochip images. This targeted periodic filtering removes noise at critical frequencies while preserving the signal, maintaining high signal-to-noise ratio even with high throughput processing.
Data Source
AI summary
A method for analyzing a biochip image is provided, including: (S1) acquiring and preprocessing the biochip image to obtain a preprocessed image; (S2) performing a correction for angle deflection on the preprocessed image to obtain a deflection-corrected image; and (S3) performing an enhancement processing on the deflection-corrected image, and identifying a positive or negative of an area of interest in the preprocessed image according to an image on which the enhancement processing has been performed. An apparatus (100) for analyzing a biochip image, a method for analyzing an image, a computer device (200) and a storage medium are disclosed.