Colorimetric Analysis Using Geometric Resizing for Physiological Testing
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Solution Overview
Problem
Current smartphone and tablet-based diagnostic devices face challenges in consistent quantitative colorimetric analysis due to dependence on ambient lighting, image resolution, and power consumption, making it difficult to accurately evaluate physiological parameters from POC color paper assays.
Innovation Solution
A method and system that capture images of a test strip before and after dipping into a test fluid, determine geometric parameters to derive an image resizing factor, generate resized images, and calculate calorimetric values to evaluate physiological parameters based on changes in luminosity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If geometric image analysis is performed on captured images to determine calorimetric values, then measurement precision is improved, but device complexity and computational requirements increase
Solution Approach 1:
The patent applies preliminary action by pre-determining geometric parameters (length, breadth, area, perimeter) of the test strip and storing them in memory before actual measurement. During operation, the system retrieves these pre-stored parameters and uses them to calculate scaling factors, eliminating the need for complex real-time geometric analysis and reducing computational burden while maintaining measurement precision
Solution Approach 2:
The patent creates a simplified digital model (copy) of the test strip's geometric characteristics by capturing an image, determining geometric parameters, and storing them for future use. This digital copy allows the system to reference pre-analyzed geometric data instead of performing repeated complex geometric computations on each measurement
2Measurement precision
If images are captured at known fixed height for colorimetric analysis, then measurement precision is improved, but ease of operation deteriorates due to restricted usage
Solution Approach 1:
The patent applies dynamics by making the imaging system adaptable to variable capture heights. Instead of requiring a fixed rigid mounting, the system uses image processing algorithms that can determine geometric parameters and calculate appropriate scaling factors regardless of the capture height, allowing flexible handheld operation while maintaining measurement precision
Solution Approach 2:
The patent changes the approach from fixing the physical parameter (capture height) to adjusting the computational parameter (scaling factor). By deriving scaling factors from geometric parameters determined at any capture height, the system maintains measurement accuracy while allowing operators to capture images at convenient, variable heights
3Measurement precision
If comprehensive geometric image analysis is performed, then measurement precision is improved, but power consumption increases
Solution Approach 1:
The patent reduces power consumption by performing geometric parameter determination and analysis as preliminary actions before actual measurement sessions. The pre-determined geometric parameters are stored in memory and retrieved during operation, eliminating the need for repeated computationally intensive image processing and reducing overall power consumption 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
This approach enables efficient computation and storage of calorimetric values, reducing the need for complex geometric image analysis and improving the accuracy of physiological parameter evaluation with reduced computational and memory requirements.
Implementation Method 1
receiving a first image of a test strip captured at a first height before dipping the test strip into a test fluid, and a second image of the test strip captured at a second height after dipping the test strip into the test fluid
Implementation Method 2
captured images... first and second calorimetric values respectively associated with the resized first and the resized second images are determined
Data Source
AI summary
The present disclosure relates to a method and a calorimetric device for performing colorimetric analysis of a test fluid to evaluate associated physiological parameters. The images of the test strip at different heights are captured by the calorimetric device and based on analysis of the captured images, a plurality of geometric parameters respectively associated with the test strip is determined. Based on the plurality of geometric parameters, an image resizing factor is determined and resized images are generated based on the image resizing factor. Upon generating the resized images, calorimetric values respectively associated with the resized images are determined based on which physiological parameters associated with the test fluid are evaluated.