Calibrated Test Matrix Screening Using Mobile Image Analysis

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Solution Overview

Problem

Existing screening methods for chronic diseases, such as urinalysis, require clinical visits and are often inaccessible due to cost and location barriers, and rely on subjective color-based tests or expensive electronic readers that are not portable.

Innovation Solution

A system and kit for remote screening using a test matrix with calibration elements and reagents, processed by a user device with image capturing and processing capabilities, comparing images to an augmented reality trained database for accurate detection of chronic diseases.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of operation

If manual color-based testing is used, then the screening process is simple and accessible, but the measurement precision is subjective and inaccurate

Engineering Contradiction:
Improvescreening accessibilityVSAvoidcolor comparison accuracy
Core Design Contradiction:
Ease of operationVSMeasurement precision

Solution Approach 1:

The patent replaces manual visual color comparison with automated image processing and computer vision algorithms. The system captures images of the test strip using a mobile device camera and uses machine learning models to objectively analyze color changes, substituting human visual assessment with automated digital image analysis to eliminate subjectivity while maintaining accessibility.

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

Solution Approach 2:

The patent introduces an intermediary layer of image processing software and augmented reality technology between the test strip and the user. This intermediary captures the color data, processes it through trained machine learning models, and presents results in an user-friendly format, bridging the gap between simple testing and accurate measurement.

Inventive Principle:
Principle #24Intermediary (Mediator)

2Reliability

If specialized electronic readers are used, then the measurement precision is increased and reliability is improved, but the device complexity and cost increase significantly

Engineering Contradiction:
Improvetesting accuracyVSAvoidelectronic reader portability
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The patent makes the testing system universal by using a mobile device camera that can serve multiple purposes (testing, photography, communication) instead of requiring a dedicated electronic reader. The same device that captures images can also store, process, and share results, eliminating the need for specialized equipment while maintaining reliability through software-based analysis.

Inventive Principle:
Principle #6Universality (Multi-functionality)

Solution Approach 2:

The patent creates a digital copy of the test strip results through image capture, replacing the need for physical electronic readers. The camera captures an optical copy of the color changes, which is then processed digitally, allowing the test results to be stored, analyzed, and transmitted without requiring specialized reading equipment.

Inventive Principle:
Principle #26Copying

3Measurement precision

If clinical visits are required for testing, then the measurement precision and professional oversight are ensured, but the loss of time and accessibility are reduced

Engineering Contradiction:
Improveclinical testing accuracyVSAvoidappointment scheduling time
Core Design Contradiction:
Measurement precisionVSLoss of time

Solution Approach 1:

The patent enables self-service testing where individuals can perform the screening at home without requiring clinical visits. The system provides built-in guidance through the mobile application, automatic image capture instructions, and integrated result interpretation, allowing users to independently complete the testing process while maintaining accuracy through automated analysis.

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The patent performs preliminary testing and screening actions at home before potential clinical visits. The system captures test strip images, processes results, and provides preliminary diagnoses that can guide whether further clinical intervention is needed, performing the initial screening function in advance and reducing unnecessary clinic appointments.

Inventive Principle:
Principle #10Preliminary action

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 accessible and cost-effective early detection of chronic diseases through portable and reliable image-based analysis, eliminating the need for clinical visits and providing accurate results.

Implementation Method 1

These tests can include the use of color-based reaction testing, whereby a test pad is exposed to urine, blood, saliva, feces or sweat. Each reagent test pad on the dipstick is chemically treated with a compound that is known to change color in the presence of particular reactants.

Methodology Applied
Scientific EffectColor-based reaction testing:

Implementation Method 2

a user device having image capturing and processing capabilities configured to capture an image and a processor. The user device is configured to locate, based on the one or more calibration elements, the test matrix in the image, determine if the test matrix indicates the presence of the chronic disease by comparing a detected contrast of the one or more reagents

Methodology Applied
Scientific EffectImage-based analysis:

Data Source

PatentUS20250347682A1Population screening systems and methods for early detection of chronic diseases
Publication Date: 2025.11.13 REGENTS OF THE UNIVERSITY OF MINNESOTA
  • US20250347682A1 patent drawing
  • US20250347682A1 patent drawing
  • US20250347682A1 patent drawing

AI summary

A system for diagnostic screening of a chronic disease includes a test matrix and a user device. The test matrix has a calibration surface including one or more calibration elements and one or more reagents. The user device has image capturing and processing capabilities configured to capture an image and a processor configured to locate, based on the plurality of calibration elements, the test matrix in the image, determine if the test matrix indicates the presence of the chronic disease by comparing a detected contrast of the one or more reagents with the test matrix to an augmented reality trained database, and generate a screening report based on the determination.