Lateral Flow Assay Image Reading for Objective Signal Detection
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Solution Overview
Problem
Conventional lateral flow assays (LFAs) rely on visual inspection, which introduces variability and subjectivity in data interpretation, limiting their sensitivity and accuracy.
Innovation Solution
A diagnostic reader device with integrated light sources, an imaging device, and a hardware computer processor that analyzes images of LFAs to determine diagnostic test results, employing techniques like image processing and signal strength analysis to automate the interpretation process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If visual inspection by human eye is used to analyze lateral flow assays, then the method is simple and low-cost, but the sensitivity and accuracy are limited due to high variability and subjectivity
Solution Approach 1:
The patent replaces the mechanical visual inspection system (human eye) with an automated optical analysis system comprising a diagnostic reader device, light sources, imaging devices, and computer processors. This substitution eliminates human variability and subjectivity while maintaining operational simplicity through automated image capture and analysis algorithms.
Solution Approach 2:
The patent creates optical copies (images) of the lateral flow assay results using imaging devices. These digital copies are then analyzed by computer processors, allowing for precise measurement of signal strengths without requiring direct human visual interpretation. The copying process preserves the diagnostic information while enabling automated quantitative analysis.
2Reliability
If multiple light sources with different wavelengths are used to illuminate the lateral flow assay, then the sensitivity and detection capability are improved, but the device complexity and control requirements increase
Solution Approach 1:
The patent segments the illumination function into multiple independent light sources, each emitting at different wavelengths (e.g., blue LED at 470nm, green LED at 530nm, red LED at 630nm). This segmentation allows each light source to be optimized for specific detection purposes while maintaining independent control, thereby improving reliability without excessive complexity.
Solution Approach 2:
The patent employs periodic illumination sequences where different light sources are activated in alternating or sequential periods. The controller manages timing of illumination and image capture, using periodic action to systematically collect data under different wavelength conditions, improving detection reliability through multiple measurement opportunities.
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
Enhances the sensitivity and accuracy of LFA results by providing objective and reliable diagnostic outcomes, reducing human error and variability.
Implementation Method 1
the at least one light source comprises one or more light emitting diodes
Implementation Method 2
an imaging device configured to capture at least one image of the lateral flow assay after illumination
Data Source
AI summary
Methods and apparatus for automatically determining a diagnostic test result from a lateral flow assay are provided. The method comprises receiving at least one image of the lateral flow assay, identifying, with a hardware computer processor, a view window in the at least one image, determining, within the identified view window, a first signal strength for a control line and a second signal strength for one or more test lines, determining the diagnostic test result based on the first signal strength and/or the second signal strength, and outputting an indication of the diagnostic test result.