Dual-Wavelength Analyte Imaging for Accurate Non-Invasive Testing
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Solution Overview
Problem
Existing non-invasive analyte testing methods, such as Raman spectroscopy and hyperspectral data analysis, face challenges in accurately measuring analytes like glucose due to interference from skin tissue components and variations in skin characteristics, leading to inaccurate results and high costs, and lack portability and real-time capabilities.
Innovation Solution
A method and system utilizing infrared and ultraviolet light to image and obtain spectral data, with compensation based on grayscale differences between testing and reference points, enabling accurate analyte measurement by excluding non-analyte influences and allowing for miniaturized, real-time testing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If Raman spectroscopy is used to measure blood glucose concentration in vivo, then measurement 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 detection system. Instead of using Raman scattering principles that require sophisticated equipment, the invention uses fluorescence excitation and detection, which can be implemented with more compact and cost-effective components while maintaining measurement accuracy.
Solution Approach 2:
The patent changes the detection parameter from Raman scattering intensity to fluorescence emission intensity. By exciting the analyte with specific wavelength light and detecting the emitted fluorescence signal, the system achieves accurate measurement with simpler hardware requirements compared to Raman spectroscopy.
2Ease of operation
If absorption spectroscopy is used for non-invasive blood glucose testing, then non-invasive measurement is achieved, but spectral signal separation becomes difficult due to mixing with skin tissue signals
Solution Approach 1:
The patent extracts the analyte-specific fluorescence signal from the mixed spectral data by selecting specific wavelengths where the analyte exhibits characteristic fluorescence emission. This allows separation of the analyte signal from skin tissue background signals, enabling accurate non-invasive measurement.
Solution Approach 2:
The patent introduces fluorescence emission as an intermediary signal that connects the analyte concentration to the detectable spectral data. By measuring fluorescence intensity at specific wavelengths rather than direct absorption, the system can distinguish analyte signals from tissue interference more effectively.
3Reliability
If multiple sensors and modules are used to collect biological signals from different body positions, then comprehensive data is obtained, but system complexity and cost increase significantly
Solution Approach 1:
The patent makes a single optical detection system perform multiple functions by collecting both spatial distribution information and spectral information simultaneously. The imaging device captures grayscale distribution to identify testing and reference points, while also obtaining spectral data at these points, eliminating the need for separate sensors for each measurement type.
Solution Approach 2:
The patent merges the grayscale imaging function and spectral data collection into a single integrated measurement process. By using one imaging device to capture both types of information, the system achieves comprehensive data collection with minimal hardware, reducing complexity while maintaining reliability.
4Loss of information
If spectral signals from different wavelengths are mixed together for analysis, then comprehensive spectral information is obtained, but fine separation and extraction of analyte-specific signals becomes difficult
Solution Approach 1:
The patent segments the spectral data by wavelength, analyzing different wavelength ranges separately to identify analyte-specific signals. By dividing the spectral information into distinct wavelength segments and comparing them, the system can extract analyte signals from the mixed spectral data more easily while retaining comprehensive information.
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
The method provides accurate, non-invasive analyte testing with reduced costs and system miniaturization, achieving real-time results by distinguishing analyte signals from skin variations and compensating for depth and thickness effects.
Implementation Method 1
irradiating a first area by infrared light within a first wavelength range and imaging the first area, to obtain a first image of an imaging area; and the first image includes data that indicate grayscale distribution in the imaging area of a reflection signal generated by the analyte when irradiated by the infrared light
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, wherein the second image includes spectral data that indicate a fluorescence radiation signal in the imaging area excited by the analyte when irradiated by the ultraviolet light
Data Source
AI summary
The present invention provides a method and a system for testing an analyte, a medium, and a device. The method includes: imaging: irradiating a first area by infrared light within a first wavelength range and imaging the first area; and irradiating the first area by ultraviolet light within a second wavelength range and imaging the first area; spectral obtaining: selecting a testing point and a reference point from the second image to obtain information about the analyte in the imaging area, where the information about the analyte includes information about the analyte correlated to the spectral data; and compensating: compensating the information about the analyte based on a grayscale difference between the testing point and the reference point in the first image. In this application, spectral data in different areas is analyzed, to provide a more accurate test result.