Dual-Wavelength Image Processing for Non-Invasive Analyte Testing
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Solution Overview
Problem
Existing non-invasive analyte testing methods, such as Raman spectroscopy, are bulky, expensive, and inaccurate due to skin interference, while electrochemical methods are invasive, and existing image-based methods fail to accurately distinguish between skin and blood vessel areas, leading to inaccurate results.
Innovation Solution
An image processing method using infrared and ultraviolet light to differentiate between blood vessel and non-vascular areas, followed by selecting reference points and calculating average grayscale values to exclude skin interference, enabling non-invasive analyte testing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If Raman spectroscopy is used for non-invasive analyte testing, then testing accuracy is improved, but device size and cost increase significantly
Solution Approach 1:
The patent replaces the complex Raman spectroscopy system with a simpler fluorescence-based optical system. Instead of using Raman scattering effects that require sophisticated equipment, the invention uses fluorescence emission from analyte molecules excited by UV light, which can be detected with simpler photodetectors and imaging components, thereby reducing device size and cost while maintaining measurement capability
Solution Approach 2:
The patent changes the measurement parameter from Raman scattering intensity to fluorescence emission intensity. By exciting the analyte with UV light and detecting the characteristic fluorescence emission, the system achieves accurate analyte detection using less complex optical components compared to Raman spectroscopy, thus resolving the contradiction between measurement precision and device complexity
2Device complexity
If electrochemical sensing is used for analyte testing, then device complexity is reduced, but invasiveness increases
Solution Approach 1:
The patent replaces electrochemical sensing mechanisms with optical detection methods. Instead of using electrodes that require skin penetration or close contact to detect electrochemical reactions, the invention uses UV light excitation and optical detection of fluorescence emission, enabling non-invasive or minimally invasive analyte testing while keeping the device relatively simple
Solution Approach 2:
The patent introduces light (UV excitation and fluorescence emission) as an intermediary between the analyte and the detector. This optical intermediary allows detection of analyte concentration without direct electrical contact or skin penetration, eliminating the invasiveness of electrochemical methods while maintaining device simplicity through the use of basic optical components
3Illumination intensity
If skin area is used for fluorescence imaging, then signal intensity is improved, but skin interference increases
Solution Approach 1:
The patent extracts and removes the skin interference component from the fluorescence signal. By using image processing algorithms to identify and eliminate regions affected by skin pigmentation, spots, and other interfering factors, the system isolates the pure analyte fluorescence signal from the skin background, thereby maintaining signal intensity while eliminating skin interference
Solution Approach 2:
The patent employs feedback mechanisms through multi-step image processing that uses information from different grayscale areas and reference points to correct and refine the fluorescence signal. The system compares signals from vascular and non-vascular areas, uses grayscale distribution analysis to identify interfering regions, and iteratively refines the measurement to compensate for skin interference while preserving the analyte signal
4Measurement precision
If image processing is used to eliminate skin noise, then measurement precision is improved, but processing complexity increases
Solution Approach 1:
The patent segments the imaging area into different grayscale areas (vascular and non-vascular regions) based on grayscale distribution. By dividing the image into distinct regions with different characteristics and processing each region separately with appropriate algorithms, the system achieves high measurement accuracy through targeted processing of specific areas rather than attempting to process the entire image uniformly, thus managing processing complexity effectively
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
Accurately locates blood vessels, reduces skin interference, and enhances the accuracy and stability of analyte testing, allowing for non-invasive, cost-effective, and real-time analyte measurement.
Implementation Method 1
irradiating a first area on the skin by infrared light, and imaging the first area, to obtain a first image of an imaging area
Implementation Method 2
irradiating the first area on the skin by ultraviolet light, and imaging the first area, to obtain a second image of the imaging area
Data Source
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AI summary
The present invention provides an image processing method and system in analyte testing, a medium, and a device, which relate to the field of optical analysis. The method includes: irradiating a first area by infrared light, and imaging it, to obtain a first image; dividing the first area into different grayscale areas based on grayscale distribution; selecting a grayscale area whose grayscale value meets preset requirements as a testing point candidate area; selecting a reference point candidate area from an edge of the testing point candidate area; irradiating, by ultraviolet light, the first area and imaging the first area to obtain a second image; selecting a plurality of pixels whose grayscale values meet requirements as reference points; and calculating a grayscale average value based on the reference points, and removing a reference point with a largest difference between the grayscale value and the grayscale average value.