Automated Image Analysis for Chemical Detection
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Solution Overview
Problem
Current chemical detection methods, such as color tests and lateral flow immunoassays, face challenges including subjectivity, limited automation, inability to integrate with laboratory information management systems, and inefficiencies in handling complex drug samples, particularly in distinguishing minor illicit drug components in the presence of excipients or cutting agents.
Innovation Solution
A computing system and digital microfluidic platform that performs image analysis to determine the presence or concentration of chemicals by capturing and processing imaging data from sample droplets and reagents, using objective criteria to generate results, and integrating with laboratory information management systems for improved reliability and reproducibility.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If color tests are performed manually with visual examination, then the method is simple and low cost, but the interpretation is subjective and prone to user error
Solution Approach 1:
The patent replaces the manual visual examination system with an automated image analysis system using a camera and computer processing. The camera captures images of color test reactions, and computer algorithms objectively analyze the color changes, eliminating human subjectivity while maintaining operational simplicity through automated workflows.
2Adaptability or versatility
If multiple individual color tests are performed manually, then comprehensive chemical detection is achieved, but the process is time-consuming and lacks automation
Solution Approach 1:
The patent merges multiple individual color tests into a single integrated automated system. The image analysis system simultaneously processes multiple test reactions captured in one or more images, enabling parallel analysis of multiple chemicals or samples, thereby increasing productivity while maintaining comprehensive detection capability.
Solution Approach 2:
The automated image analysis system serves multiple functions: it can analyze various color test reactions, process different types of chemical samples, and integrate with laboratory information management systems. This multi-functionality allows comprehensive chemical detection across different analytes while maintaining a single unified platform.
3Ease of manufacture
If traditional color test methods are used, then portability and low cost are achieved, but automation and LIMS integration are not possible
Solution Approach 1:
The patent introduces an intermediary layer between the simple color test reagents and the automated analysis system. A camera and image processing software serve as intermediaries that bridge the low-cost chemical tests with sophisticated automated analysis and LIMS integration, enabling automation without requiring expensive specialized instrumentation.
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
The system provides objective and automated chemical detection, enabling faster, more accurate, and reliable analysis of chemical concentrations, overcoming the limitations of traditional methods by allowing parallel testing and integration with LIMS for enhanced data management.
Implementation Method 1
A computing system and digital microfluidic platform that performs image analysis to determine the presence or concentration of chemicals by capturing and processing imaging data from sample droplets and reagents
Data Source
AI summary
Disclosed herein are systems, methods, and devices for determining a presence or concentration of a chemical in a sample based on image analysis. In one embodiment, a computing system for image analysis includes one or more hardware computer processors configured to execute software instructions and one or more storage devices storing software instructions for execution by the one or more hardware computer processors configured to cause the computing system to perform the following steps. The computing system receives imaging data of at least one sample droplet of a sample and at least one reagent. One or more imaging properties are identified from the imaging data and a result is generated. The result indicates the presence or concentration of a chemical in the sample based on the identified imaging properties. The computing system stores the imaging data and the result.