Dual-Light Analyte Imaging for Non-Invasive Glucose Measurement
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Solution Overview
Problem
Existing analyte testing technologies face challenges such as invasiveness, high cost, complexity, and difficulty in achieving real-time, portable, and accurate non-invasive measurements, particularly in glucose testing, due to issues with electrochemical methods, Raman spectroscopy, and multi-wavelength systems.
Innovation Solution
A method and system utilizing single-wavelength infrared and ultraviolet light imaging to distinguish between areas with and without blood vessels, combined with fluorescence spectroscopy, to obtain accurate spectral data for analyte concentration analysis, employing a trained model to correlate infrared light intensity and fluorescence spectral data for precise analyte measurement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If Raman spectroscopy is used for non-invasive analyte measurement, then measurement precision is improved, but device complexity and cost increase
Solution Approach 1:
The patent replaces Raman spectroscopy (which requires complex laser systems and specialized detectors) with fluorescence spectroscopy using standard UV light sources and conventional spectroscopy equipment. This substitution maintains measurement capability while dramatically simplifying the system architecture and reducing costs, enabling portable real-time testing.
2Measurement precision
If multiple sensors and modules are used to collect biological signals, then measurement precision is improved, but device complexity and cost increase
Solution Approach 1:
The patent extracts and eliminates unnecessary biological signal collection components from multi-sensor systems. By focusing solely on fluorescence spectral data from a single imaging area and removing redundant sensors (infrared, facial, temperature sensors), the system achieves accurate blood glucose measurement with minimal components, reducing both complexity and cost while maintaining precision.
Solution Approach 2:
Instead of collecting multiple types of biological signals and trying to differentiate the useful ones, the patent inverts the approach by selecting a specific imaging area with characteristic grayscale values that directly indicate blood vessel presence, and collecting only the fluorescence spectral data needed for analyte measurement from that area.
3Quantity of substance
If spectral signals from multiple components are collected together, then comprehensive information is obtained, but measurement precision deteriorates
Solution Approach 1:
The patent applies local quality by selecting a specific imaging area with grayscale values within a predetermined range, which corresponds to regions containing blood vessels. By restricting fluorescence spectral data collection to this specific local area rather than the entire imaging field, the system obtains spectral signals primarily from blood components (including glucose) while minimizing interference from skin tissue and other non-blood components, thereby improving measurement precision.
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
Enables non-invasive, accurate, and cost-effective real-time testing by distinguishing between blood vessel and non-vessel areas, reducing complexity and cost, and providing a strong correlation between spectral data and analyte concentration.
Implementation Method 1
Absorption spectroscopy is used in the document
Implementation Method 2
irradiating the first area by ultraviolet light within a second wavelength range, and imaging the first area, to obtain a second image of the imaging area; spectral obtaining step: obtaining, from the first image, grayscale distribution data that indicate uneven distribution of the analyte in the imaging area; based on the grayscale distribution data, obtaining, from the first image, an infrared light intensity value at a desired position that indicate uneven distribution of the analyte in the imaging area; and based on the grayscale distribution data, obtaining, from the second image, fluorescence spectral data at the desired position that indicate uneven distribution of the analyte in the imaging area
Data Source
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AI summary
The present invention provides a method and a system for testing an analyte, a medium, and a device. The method includes: imaging step: irradiating a first area by single-wavelength infrared light within a first wavelength range, and imaging the first area, to obtain a first image of an imaging area; and irradiating the first area by ultraviolet light within a second wavelength range, and imaging the first area, to obtain a second image of the imaging area; spectral obtaining step: obtaining, from the first image, grayscale distribution data that indicate the analyte; based on the grayscale distribution data, respectively obtaining, from the first image and the second image, infrared light intensity values and fluorescence spectral data at desired positions that demonstrate the analyte; and analyzing step: obtaining information about the analyte in the imaging area based on the infrared light intensity values and the fluorescence spectral data.