Exposure Calibration for Fluorescence Analyte Imaging
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Solution Overview
Problem
Existing analyte testing technologies face challenges such as invasiveness, high cost, and inaccuracies due to variations in human skin color and testing scenarios, particularly in non-invasive methods like Raman spectroscopy and electrochemical sensors.
Innovation Solution
A method and system for adjusting photographing parameters using infrared and ultraviolet light sources to capture grayscale images, establishing linear function relationships between exposure time and grayscale values, and utilizing fluorescence spectroscopy for analyte testing, enabling real-time adaptation to skin conditions and improving accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If non-invasive testing methods like Raman spectroscopy are used, then user comfort and acceptance are improved, but device size and cost increase significantly
Solution Approach 1:
The patent replaces complex Raman spectroscopy systems with a simplified optical system using common light sources (laser pointer, flashlight) and a mobile phone camera. This substitution maintains non-invasive testing while dramatically reducing device size and cost, making the system portable and accessible.
Solution Approach 2:
The patent uses inexpensive, readily available components such as commercial light sources and mobile phone cameras instead of expensive laboratory-grade equipment. This approach significantly reduces system cost while achieving functional equivalence for non-invasive analyte testing.
2Adaptability or versatility
If different skin colors and testing scenarios are accommodated, then adaptability is improved, but measurement precision deteriorates due to grayscale variations
Solution Approach 1:
The patent captures images at multiple exposure times and uses the linear relationship between exposure time and grayscale value to normalize measurements. By changing the exposure time parameter and establishing calibration curves, the system compensates for skin color variations and maintains measurement precision across different scenarios.
Solution Approach 2:
The system establishes a linear function relationship between exposure time and grayscale value through calibration, then uses this feedback mechanism to adjust and normalize measurements. The calibration data serves as feedback to correct for variations in skin color and testing conditions, ensuring consistent 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
The method enhances testing accuracy by reducing the influence of skin color and scene variations, allows non-invasive testing, and achieves low-cost, miniaturized, real-time analyte measurement.
Implementation Method 1
utilizing fluorescence spectroscopy for analyte testing
Data Source
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AI summary
The present invention provides a photographing parameter adjustment method and system in analyte testing, a medium, and a device. The method includes: in a plurality of different exposure time, exposing and imaging a first area by using a first light source, to obtain a first image, and exposing and imaging the first area by using a second light source, to obtain a second image; respectively calculating average grayscale values of pixels in reference areas based on the reference areas; respectively establishing linear function relationships between the exposure time and the average grayscale values; and inputting a grayscale value of the first image into the linear function relationship, to obtain an exposure time after first light source adjustment, and inputting a grayscale value of the second image into the linear function relationship, to obtain an exposure time after second light source adjustment.