Dual-Wavelength Blood Vessel Imaging for Non-Invasive Analyte Testing

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Solution Overview

Problem

Existing non-invasive analyte testing methods, such as Raman spectroscopy, are inaccurate due to the inability to distinguish between skin areas with and without blood vessels, leading to incorrect test results, while invasive methods like electrochemical reactions cause discomfort.

Innovation Solution

An image processing method using infrared and ultraviolet light to accurately locate blood vessels, eliminate skin interference, and collect fluorescence spectroscopy data, enabling non-invasive analyte testing.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of operation

If electrochemical method is used for analyte testing, then the testing can be performed on skin area, but the accuracy is reduced due to inability to distinguish blood vessel area from non-blood vessel area

Engineering Contradiction:
Improvetesting accessibilityVSAvoidtesting accuracy
Core Design Contradiction:
Ease of operationVSMeasurement precision

Solution Approach 1:

The imaging area is divided into multiple grayscale areas based on grayscale distribution, and blood vessel positioning is performed by selecting specific grayscale areas that meet preset requirements, thereby segmenting the skin area into blood vessel regions and non-blood vessel regions for differentiated processing

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

Infrared imaging is introduced as an intermediary step to obtain grayscale distribution information, which serves as a mediator to identify blood vessel locations before performing the actual analyte testing, thus enabling accurate distinction between blood vessel and non-blood vessel areas

Inventive Principle:
Principle #24Intermediary (Mediator)

2Measurement precision

If Raman spectroscopy system is used for non-invasive testing, then the accuracy is improved, but the device becomes bulky and expensive

Engineering Contradiction:
Improvetesting accuracyVSAvoidsystem size and cost
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent uses infrared imaging to create a grayscale map that copies the structural information of blood vessels, which then guides the fluorescence spectroscopy measurement process, replacing the need for complex Raman spectroscopy systems while maintaining measurement accuracy

Inventive Principle:
Principle #26Copying

Solution Approach 2:

The patent replaces the complex mechanical Raman spectroscopy system with a combination of infrared imaging and fluorescence spectroscopy, substituting a simpler optical system that achieves the same goal of non-invasive analyte testing with reduced device complexity

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

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 improves the accuracy and stability of analyte testing by accurately positioning blood vessels and reducing skin interference, 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

Methodology Applied
Scientific EffectInfrared radiation: Infrared Radiation

Implementation Method 2

irradiating a first area on the skin by ultraviolet light, and imaging the first area, to obtain a second image of the imaging area

Methodology Applied
Scientific EffectFluorescence: Fluorescence

Data Source

PatentUS20260020783A1Image processing method and system in analyte testing, medium, and device
Publication Date: 2026.01.22 SENSURA PTE LTD
  • US20260020783A1 patent drawing
  • US20260020783A1 patent drawing
  • US20260020783A1 patent drawing

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.