Optical Analyte Testing Using Reflection Spectra and Vessel Segmentation
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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 broad-spectrum visible light, infrared, or visible-near-infrared light to image and analyze uneven analyte distribution, selecting testing and reference points based on grayscale values, and employing a trained analyte testing model to process reflection spectral data for accurate analyte concentration determination, without requiring electrochemical reactions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If Raman spectroscopy is used for non-invasive analyte testing, then measurement precision is improved, but device complexity and cost increase significantly
Solution Approach 1:
The patent extracts only the necessary spectral information from the broad-spectrum light reflection by focusing on specific wavelength ranges that correspond to analyte absorption characteristics. Instead of using complex Raman spectroscopy, the invention extracts reflection spectral data at selected wavelengths to identify analyte concentration, thereby simplifying the system while maintaining measurement precision.
Solution Approach 2:
The patent changes the measurement approach from Raman scattering to broad-spectrum light reflection absorption. By measuring reflection spectral data at specific wavelengths and analyzing absorption characteristics, the system achieves accurate analyte detection with a simpler, more cost-effective setup compared to laboratory-level Raman spectroscopy systems.
2Ease of operation
If absorption spectroscopy is used for non-invasive testing, then non-invasive measurement is achieved, but spectral signals of different components are mixed making accurate measurement difficult
Solution Approach 1:
The patent segments the spectral analysis by selecting specific wavelength ranges that correspond to analyte absorption peaks. Instead of analyzing the entire broad-spectrum reflection, the system focuses on discrete wavelength bands where the analyte exhibits characteristic absorption, thereby separating the analyte signal from background tissue components and enabling precise non-invasive measurement.
Solution Approach 2:
The patent applies local quality by selecting testing points and reference points with specific grayscale value characteristics in the captured image. The analysis focuses on local spectral regions where analyte distribution creates detectable variations, rather than analyzing the entire field of view uniformly. This localized approach enhances the analyte signal while minimizing interference from surrounding tissues.
3Measurement precision
If multiple sensors and modules are used to collect biological signals, then measurement coverage is improved, but device complexity and cost increase
Solution Approach 1:
The patent employs a single imaging sensor that performs multiple functions: capturing visual information for testing point selection, obtaining reflection spectral data for analyte concentration measurement, and providing grayscale distribution for reference point identification. This multi-functional approach eliminates the need for separate sensors for each measurement type, reducing device complexity while maintaining comprehensive measurement capability.
Solution Approach 2:
The patent merges the functions of visual imaging and spectral measurement into a single integrated system. By combining the imaging sensor with broad-spectrum light illumination and spectral analysis algorithms, the invention achieves both anatomical localization and biochemical measurement using one unified device, thereby reducing the number of components and simplifying the overall system architecture.
4Productivity
If electrochemical sensors are implanted subcutaneously, then real-time glucose monitoring is achieved, but invasiveness increases
Solution Approach 1:
The patent replaces the mechanical/electrochemical sensor implantation approach with an optical measurement system. Instead of physically inserting sensors into the body for real-time electrochemical detection, the invention uses non-invasive broad-spectrum light reflection and spectral analysis to achieve continuous analyte monitoring, thereby eliminating invasiveness while maintaining real-time measurement capability.
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 accurate, non-invasive, low-cost, and real-time analyte testing by distinguishing between areas with and without blood vessels, minimizing interference from non-analyte components, and allowing for miniaturized, portable systems.
Implementation Method 1
irradiating a first area by broad-spectrum visible light, infrared light, or visible-near-infrared light within a first wavelength range, and imaging the first area, to obtain an image of an imaging area; obtaining, from the first image, color or grayscale distribution data that indicate uneven distribution of the analyte in the imaging area
Implementation Method 2
obtaining, at a required position from the first image, reflection spectral data 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: irradiation: irradiating a first area by broad-spectrum visible light, infrared light, or visible-near-infrared light within a first wavelength range, and imaging the first area, to obtain an image of an imaging area; spectral obtaining: obtaining, from the first image, color or grayscale distribution data that indicate uneven distribution of the analyte in the imaging area; and based on the color or grayscale distribution data, obtaining, at a required position from the first image, reflection spectral data that indicate uneven distribution of the analyte in the imaging area; and analyzing step: obtaining information about the analyte in the imaging area based on the obtained reflection spectral data.