Camera-Based Chromatographic Readers for Consistent Analyte Measurement
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Solution Overview
Problem
Biological chromatographic test strips are subject to subjective interpretation and lack metadata, limiting their adoption and accuracy in biodetection due to inter-observer variation and qualitative nature.
Innovation Solution
Reader devices automate the reading process, leveraging signal intensities of test strips to determine analyte presence/absence and quantity, and collect metadata, integrating with databases for auditable records.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual visual reading of test strips is used, then device complexity is low, but measurement precision and reliability deteriorate due to subjective interpretation and inter-observer variation
Solution Approach 1:
The patent replaces the manual visual reading mechanism with an automated optical detection system. A camera captures images of the test strip, and image processing algorithms automatically analyze the signal lines to determine analyte presence and concentration. This substitution eliminates human subjectivity and inter-observer variation, significantly improving measurement precision and result consistency.
Solution Approach 2:
The patent introduces an intermediary image processing system between the test strip and the final result interpretation. This intermediary layer captures the visual output through a camera, processes the images through algorithms that quantify signal intensities and compare them to reference ranges, and generates objective results. This intermediary mechanism bridges the gap between the simple test strip design and the need for precise, consistent measurements.
2Productivity
If automated reader devices are implemented, then productivity and measurement precision improve, but device complexity increases
Solution Approach 1:
The reader device is designed to autonomously perform multiple functions without requiring complex external systems. The device automatically captures images, processes them through embedded algorithms, determines analyte concentrations, and generates results independently. This self-service capability enables high throughput while keeping the device architecture relatively simple and self-contained.
Solution Approach 2:
The reader device is designed as a multi-functional system that can handle various test strip types and analytes through a single platform. The image processing algorithms are configured to recognize different signal patterns and reference ranges for multiple applications, allowing one device to serve multiple purposes and increasing overall productivity without proportionally increasing complexity.
3Loss of information
If quantitative measurement is implemented, then loss of information is reduced, but measurement precision requirements increase
Solution Approach 1:
The system incorporates feedback mechanisms where the image processing algorithms continuously refine concentration estimates by comparing measured signal intensities against established reference ranges and calibration data. The system provides feedback on image quality and signal strength, allowing for automated adjustments and re-measurements when necessary, thereby maintaining high measurement precision while capturing comprehensive quantitative data.
Solution Approach 2:
The patent implements preliminary calibration and reference range establishment before actual measurements are taken. Reference images and concentration standards are pre-configured in the system, allowing the measurement process to directly compare test results against these pre-established benchmarks. This preliminary action reduces the complexity of real-time precision requirements while enabling accurate quantitative measurements and comprehensive metadata collection.
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
Consistent result interpretation and quantitative analyte measurement reduce human error, enhance throughput, and facilitate networked systems for improved biodetection workflows.
Implementation Method 1
a camera board configured to capture image data associated with an output signal area of a biological chromatographic test strip
Data Source
AI summary
A reader device includes a camera board, processing circuitry in communication with the camera board, and an interface in communication with the processing circuitry. The camera board is configured to capture image data associated with an output signal area of a biological chromatographic test strip. The processing circuitry is configured to determine, based on the image data captured by the camera board, a concentration of a target analyte in a test sample submitted via the biological chromatographic test strip. The interface is configured to output data indicative of the concentration of the target analyte determined by the processing circuitry.