Mobile Device Image Analysis for Portable Disease Diagnostics
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Solution Overview
Problem
Conventional disease diagnostic tests require trained personnel and centralized laboratory settings, making it challenging for patients in remote areas to receive quick and reliable test results, especially in areas with scarce medical resources.
Innovation Solution
A portable diagnostic system that uses an optical property modifying device and a mobile device to perform disease diagnostic tests, allowing patients to capture images of reaction chambers, which are then analyzed to determine test results without the need for healthcare personnel, using image processing and analysis engines to normalize images from different devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional diagnostic tests are performed in centralized laboratories using benchtop equipment, then measurement precision and reliability are improved, but device portability and accessibility to remote areas deteriorate
Solution Approach 1:
The centralized laboratory diagnostic system is segmented into a portable optical property modifying device that can be moved to remote locations, while the image analysis capability is segmented and distributed to cloud-based or local processing systems, enabling the test components to be separated yet functionally integrated
Solution Approach 2:
The complex benchtop equipment functionality is copied into a simplified portable form using mobile device cameras to capture reaction chamber images, with the analytical capabilities replicated through image processing algorithms that mimic laboratory analysis without requiring physical presence of expensive equipment
2Measurement precision
If trained personnel are required to analyze diagnostic tests, then measurement precision is improved, but ease of operation and accessibility deteriorate
Solution Approach 1:
The diagnostic system enables patients to perform and analyze their own tests at home using a portable device and mobile camera, with automated image analysis eliminating the need for trained personnel to interpret results, thus making the service self-performed while maintaining accuracy through algorithmic analysis
Solution Approach 2:
The manual analysis process performed by trained personnel is replaced with an automated image processing system that uses computer vision algorithms to analyze reaction chamber images, substituting human expertise with machine-based pattern recognition that maintains precision while improving accessibility
3Measurement precision
If patients must travel to healthcare facilities or mail samples to laboratories, then measurement precision is improved, but loss of time and productivity deteriorate
Solution Approach 1:
The portable diagnostic device allows patients to perform the complete diagnostic test at home before needing to contact healthcare providers, eliminating the need for subsequent travel to facilities or waiting for laboratory results, thus performing the critical diagnostic action in advance of when it would traditionally be available
Solution Approach 2:
The portable diagnostic device acts as an intermediary between the patient and the healthcare system, enabling direct on-site testing that bridges the gap between home and laboratory, eliminating the need for sample transportation and intermediate handling steps that cause delays
4Ease of operation
If portable diagnostic devices are used in remote areas, then ease of operation and accessibility are improved, but reliability and measurement precision may deteriorate
Solution Approach 1:
The image processing system dynamically adjusts parameters such as lighting compensation, color calibration, and contrast enhancement based on the specific imaging conditions captured by different mobile devices, normalizing results across varying environmental conditions to maintain reliability in diverse remote locations
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 patients to perform disease diagnostic tests at home with quick and reliable results, reducing the need for central labs and facilitating remote healthcare by providing test results directly to patients and healthcare providers, while also aggregating data for epidemiological insights.
Implementation Method 1
the optical property modifying device performs a nucleic acid amplification assay that changes the color of a solution including the biological sample and the optical property modifying reagent in the reaction chambers
Implementation Method 2
The user captures one or more images of the reaction chambers using an optical sensor (e.g., camera) of the mobile device
Data Source
AI summary
A diagnostic system performs disease diagnostic tests using at least an optical property modifying device and a mobile device. A user provides a biological sample from a patient to the optical property modifying device that reacts with a reagent in one or more reaction chambers of the device. The user captures one or more images of the one or more reaction chambers using an optical sensor of the mobile device. The diagnostic system can determine a quality level of the images based on factors such as skew, scale, focusing, shadowing, or white-balancing. Based on an analysis of the captured image, the diagnostic system can determine a test result of a disease diagnostic test for the patient. The diagnostic system may communicate the test result, as well as instructions for the disease diagnostic test, to the user via the mobile device.