Mobile Sickle Cell Diagnostic Tool Using Image Analysis
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Solution Overview
Problem
Current methods for diagnosing sickle cell disease are time-consuming, costly, and often inaccessible in resource-poor communities, leading to delayed diagnosis and poor patient outcomes, particularly in sub-Saharan Africa where electrical and internet infrastructure pose additional challenges.
Innovation Solution
A mobile device equipped with a camera and microscope lens, capable of capturing and processing images of blood samples to detect sickle cell traits through noise reduction, contour detection, and image analysis, providing rapid and cost-effective diagnosis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional laboratory-based testing procedures are used, then diagnostic accuracy is improved, but diagnosis time increases to weeks or months and cost increases
Solution Approach 1:
The patent creates a portable copy of laboratory diagnostic capabilities by integrating a microscope, camera, and image processing system into a mobile device. This allows the diagnostic function to be replicated outside traditional laboratories, enabling rapid on-site analysis that maintains accuracy while reducing diagnosis time from weeks to minutes
Solution Approach 2:
The patent replaces complex mechanical laboratory equipment and manual analysis procedures with a digital system comprising a mobile device, camera, and automated image processing algorithms. This substitution eliminates the need for specialized laboratory infrastructure and manual microscopist analysis, enabling rapid diagnostics in resource-limited settings
2Reliability
If specialized laboratory equipment and medical professionals are deployed, then diagnostic reliability is improved, but device complexity and infrastructure requirements increase
Solution Approach 1:
The patent makes the mobile device universal by using a standard smartphone or tablet platform that can perform multiple functions: capturing blood smear images, processing images through algorithms, and providing diagnostic results. This multi-functionality eliminates the need for specialized single-purpose equipment while maintaining diagnostic reliability through software-based analysis
Solution Approach 2:
The patent enables self-service diagnostics by incorporating automated image processing algorithms that analyze blood cell morphology without requiring specialized medical professionals to manually examine slides. The system performs noise reduction, contour detection, and cell classification automatically, making the diagnostic process independent of expert availability while maintaining reliability
3Measurement precision
If manual blood sample preparation and analysis by medical professionals is performed, then measurement precision is improved, but productivity decreases and cost increases
Solution Approach 1:
The patent enables continuous diagnostic throughput by allowing multiple blood smear samples to be captured and analyzed sequentially using the same mobile device without requiring transfer between different laboratories or specialists. The automated image processing allows rapid consecutive analysis, maintaining precision while significantly increasing productivity compared to manual laboratory procedures
Data Source
AI summary
Implementing a mobile device configured to detect sickle cell traits in a blood sample. The device comprises a mobile device with a camera operatively coupled to a microscope lens. An image converter configured to receive an image form the camera and to perform a noise reduction procedure. The noise reduction procedure manipulates the image to a monochrome image and applies a Gaussian filter. A contour detector detects the contours of the image. An image analysis tool is configured to analyze the contours to identify discrete blood cells and clustered blood cells. The user is then notified if sickle cell traits are present based at least on the shape of the discrete blood cells.