Imaging Spectrum Detection With Pixel-Level Filtering for Glucose Testing
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Solution Overview
Problem
Existing methods for blood glucose testing in diabetes are invasive, painful, and require complex equipment, limiting frequent monitoring and increasing infection risk, while existing non-invasive methods are bulky and expensive.
Innovation Solution
A system for analyte spectral collection using a shell with a periodic pixel-level light filtering structure and bandpass filters to capture spectral information from the skin, enabling non-invasive, portable, and cost-effective glucose testing through fluorescence spectroscopy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional extracorporeal venous blood test or fingerstick blood test is used, then blood glucose testing accuracy is improved, but patient pain and infection risk increase
Solution Approach 1:
The patent replaces the mechanical invasive blood collection system with an optical spectroscopy system. The imaging spectrum detection apparatus uses light to non-invasively measure blood glucose concentration through spectral analysis of tissue, eliminating the need for needle insertion and blood sampling, thus removing pain and infection risks while maintaining measurement accuracy.
Solution Approach 2:
The patent introduces light as an intermediary medium to transfer information about blood glucose concentration from the tissue to the detector. The imaging spectrum detection apparatus captures optical signals reflected from or transmitted through the tissue, and the periodic pixel-level light filtering structure modulates these signals to encode spectral information, enabling non-invasive measurement without direct contact with blood.
2Object-affected harmful factors
If portable infrared spectrometer is used to collect infrared spectra on skin surface, then non-invasive testing is achieved, but data processing workload increases significantly
Solution Approach 1:
The patent performs spectral modulation and data acquisition in advance during the imaging process. The periodic pixel-level light filtering structure is integrated into the sensor array, allowing simultaneous capture of spatial and spectral information in a single imaging operation, eliminating the need for separate spectral measurement and processing steps.
Solution Approach 2:
The patent merges the imaging function with the spectral analysis function into a single integrated system. The imaging spectrum detection apparatus captures both spatial distribution and spectral characteristics of blood glucose in one measurement, combining what were previously separate processes (infrared spectroscopy and image acquisition) into a unified operation that reduces processing workload.
3Measurement precision
If terahertz spectral module is used for blood glucose testing, then spectral characteristic absorption principle is applied, but device complexity and environmental requirements increase
Solution Approach 1:
The patent uses a cost-effective imaging sensor array with integrated periodic pixel-level light filtering structures instead of expensive terahertz spectral modules. The filtering structure is fabricated directly into the sensor pixels during manufacturing, creating a disposable, low-cost component that eliminates the need for complex, expensive terahertz hardware while maintaining spectral measurement capability.
Solution Approach 2:
The patent divides the spectral filtering function into individual pixel-level elements rather than using a single complex terahertz module. Each pixel in the imaging array contains its own light filtering structure, allowing parallel processing of spectral information across multiple pixels, which simplifies the overall system architecture and reduces environmental requirements.
4Measurement precision
If laboratory-grade Raman spectroscopy system is used, then blood glucose concentration can be obtained, but device size and cost increase
Solution Approach 1:
The patent creates a simplified copy of the spectral analysis function using imaging sensors with periodic pixel-level light filtering structures. Instead of using a bulky laboratory-grade Raman spectroscopy system, the invention replicates the essential spectral measurement capability through a compact imaging array that can be integrated into portable devices, dramatically reducing device size while maintaining measurement precision.
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 simple, non-invasive, and real-time blood glucose monitoring with high accuracy by capturing spectral data from uneven analyte distributions, reducing the need for invasive methods and minimizing equipment size and cost.
Implementation Method 1
the periodic pixel-level light filtering structure performs spectral modulation on an incoming light signal
Implementation Method 2
the sensor generates an image containing spectral information to be tested
Implementation Method 3
the second bandpass filter allows light within a preset wavelength range to pass through and light outside the preset wavelength range to be cut off
Implementation Method 4
A system for analyte spectral collection using a shell with a periodic pixel-level light filtering structure and bandpass filters to capture spectral information from the skin, enabling non-invasive, portable, and cost-effective glucose testing through fluorescence spectroscopy
Data Source
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AI summary
The present disclosure describes a system for analyte spectral collection and a system for testing an analyte, which relate to the field of optical analysis. The system for analyte spectral collection includes a shell and an imaging spectrum detection apparatus (202). The apparatus obtains a light signal in an imaging area (100), and includes a sensor and a periodic pixel-level light filtering structure, disposed on a surface of the sensor. The filtering structure performs spectral modulation on an incoming light signal, and the sensor generates an image containing spectral information to be tested. In this application, the periodic pixel-level light filtering structure disposed on the surface of the sensor performs spectral modulation on the incoming light signal, so that the sensor generates an image containing spectral information to be tested, helping analyte spectral collection be performed more simply.