Automated Sample Handling via Container Recognition
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Solution Overview
Problem
Sample analyzers face inefficiencies due to sample container dead space and the need for manual specification of special handling, leading to reduced sample availability and increased error potential.
Innovation Solution
An automated clinical analyzer system with a sample presentation unit and computing device that identifies sample containers using images captured by a camera, differentiates downstream processing, and transfers fluids based on identification information to optimize sample handling and reduce errors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If multiple pipettors are used to transfer fluid from the original sample container, then the sample can be processed through the analyzer, but sample loss due to dead space increases and reduces the effective amount of sample available for analysis
Solution Approach 1:
The system performs preliminary recognition of the sample container type using a camera and computing device before processing. This allows the system to pre-determine the optimal processing path, including whether to use intermediate sample vessels or transfer directly to reaction vessels, thereby minimizing dead space losses before they occur
Solution Approach 2:
The patent introduces an intermediary recognition system (camera and computing device) that identifies sample container types and determines appropriate processing paths. This intermediary enables the system to select between different transfer strategies (direct vs. indirect through intermediate vessels) to minimize sample loss while maintaining processing capability
2Adaptability or versatility
If operators manually specify special handling for particular samples, then special processing can be applied, but the potential for human error increases and reduces efficiency
Solution Approach 1:
The system performs self-service by automatically recognizing sample container types through image capture and analysis. The computing device autonomously determines the appropriate processing path without requiring manual operator input, thereby eliminating human error while maintaining the ability to apply special handling when needed
Solution Approach 2:
The patent replaces the manual mechanical process of operator specification with an automated optical and computational system. The camera captures images of sample containers, and the computing device analyzes them to automatically determine processing requirements, substituting human judgment with machine-based recognition and decision-making
3Ease of operation
If manual specification of special handling is required, then operators can control processing, but the complexity of operation increases and reduces ease of use
Solution Approach 1:
The system performs self-service by automatically recognizing sample container types and determining processing paths without requiring manual operator input. This simplifies operation while maintaining the sophistication needed for special handling of different sample types
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 enhances sample handling efficiency by minimizing sample loss due to dead space and reducing manual error through automated recognition and processing of sample containers, ensuring accurate and efficient sample preparation for analysis.
Implementation Method 1
an image of that sample container captured by a camera
Data Source
AI summary
Systems and methods are provided for automatically tailoring treatment of samples in sample containers carried in a rack. The systems and methods may identify sample containers in the rack and/or detect various characteristics associated with the containers and/or the rack. This information may then be used to tailor their treatment, such as by aspirating and dispensing fluid from the sample containers in a way that accounts for the types of the samples/containers carrying them.