Optical Analyte Imaging for Non-Invasive Spectral Point Selection
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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, near-infrared light, and ultraviolet light to image and obtain reflection and fluorescence spectral data, enabling accurate selection of testing points and reference points, and using a trained analyte testing model to analyze these data for non-invasive analyte testing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If electrochemical method is used for analyte testing, then real-time testing can be achieved, but the method is invasive requiring subcutaneous sensor implantation
Solution Approach 1:
The patent replaces the electrochemical sensing system with an optical measurement system. Instead of using electrodes to detect analyte concentration through electrochemical reactions, the system uses light sources and detectors to measure optical properties (absorption, reflection, transmission) of the analyte in the body, thereby eliminating the invasive sensor implantation while maintaining real-time monitoring capability
Solution Approach 2:
The patent introduces optical fields as an intermediary between the measurement system and the analyte. Light serves as a non-invasive mediator that can penetrate body tissues and interact with the analyte, allowing concentration measurement without direct contact or implantation in the body
2Measurement precision
If Raman spectroscopy is used for non-invasive blood glucose measurement, then higher accuracy can be achieved, but the system is bulky and expensive requiring laboratory-level equipment
Solution Approach 1:
The patent divides the optical measurement system into multiple independent modules: light source modules (visible and near-infrared), detection modules (spectral detectors), processing modules, and wearables. This segmentation allows each module to be optimized and miniaturized independently, transforming the bulky laboratory system into a compact portable device that can be worn on the body
Solution Approach 2:
The patent employs a multi-wavelength optical system that can measure multiple analytes simultaneously using the same hardware platform. The system is designed to be universally applicable for detecting different substances in body fluids and tissues, eliminating the need for specialized expensive equipment for each measurement type
3Object-affected harmful factors
If hyperspectral data analysis is used for non-invasive blood glucose testing, then non-invasive measurement can be achieved, but spectral signals from different components are mixed making fine separation difficult
Solution Approach 1:
The patent segments the spectral measurement into multiple wavelength ranges (visible light and near-infrared light) and measures them separately. By dividing the spectrum into distinct bands, the system can selectively detect signals from different components (blood glucose, hemoglobin, water) in each wavelength range, making it easier to separate and identify the analyte signal from background interference
Solution Approach 2:
The patent applies different wavelength ranges to detect different properties: visible light for certain absorption characteristics and near-infrared light for others. This local quality approach allows specific wavelength bands to be optimized for detecting specific analytes while minimizing interference from other body components, improving signal separation
4Adaptability or versatility
If multi-wavelength near-infrared system is used for blood glucose testing, then multiple biological signals can be collected, but the system is complex and costly with excessively many signals causing complicated algorithms
Solution Approach 1:
The patent extracts and focuses on the most relevant optical signals for blood glucose measurement while filtering out less useful signals. Instead of collecting all possible biological signals from multiple body parts, the system selectively measures optical properties at specific wavelengths and locations, reducing the data volume and simplifying the analysis algorithm while maintaining measurement accuracy
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, and cost-effective real-time testing by distinguishing between areas with and without blood vessels, minimizing interference from non-analyte components, and achieving high test accuracy with reduced system size and complexity.
Implementation Method 1
irradiating a first area by a broad-spectrum visible light, near-infrared light, or visible-near-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
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; based on the color or grayscale distribution data, obtaining, from the second image, fluorescence spectral data at the desired position
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: irradiating a first area by broad-spectrum visible light, infrared light, or visible-near-infrared light, and imaging the first area, to obtain an image of an imaging area; 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; obtaining, from the first image, color or grayscale distribution data that indicate the analyte; based on the color or grayscale distribution data, respectively obtaining, from the first image and the second image, reflection spectral data and fluorescence spectral data at desired positions that indicate the analyte; and obtaining information about the analyte in the imaging area based on the reflection spectral data and fluorescence spectral data.