Automated Liquid Sample Verification System
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional measurement systems for liquid samples, particularly in laboratory diagnostics, face challenges in reducing errors during the pre-analytic phase, including sample handling, identification, and contamination risks, which are costly and inefficient to address.
Innovation Solution
An arrangement and method utilizing a detection system with cameras, sensors, and processors to analyze the liquid sample and its container without user interaction, ensuring compliance with measurement requirements and reducing contamination risks by controlling measurement support equipment based on analysis results.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional measurement systems are used with manual handling, then user interaction is required for sample processing, but this increases the risk of pre-analytic errors and contamination
Solution Approach 1:
The system performs self-verification of sample characteristics by automatically analyzing images of the sample container and comparing them against required criteria. The measurement device independently checks sample volume, container type, and other parameters without requiring user knowledge or manual verification, thereby reducing pre-analytic errors while maintaining ease of operation.
Solution Approach 2:
Manual mechanical handling and visual inspection by users are replaced with an automated image detection system. The system uses cameras and image processing algorithms to automatically verify sample characteristics, substituting human manual operations with automated optical detection and analysis.
2Object-affected harmful factors
If manual sample handling is performed, then users can directly operate the measurement device, but this increases contamination risk to medical personnel
Solution Approach 1:
An image capture system serves as an intermediary between the sample and the verification process. Instead of direct user contact with the sample or measurement device, the system captures images of the sample container and performs automated analysis, creating a barrier that reduces contamination risk while maintaining verification capabilities.
3Measurement precision
If automated error detection is implemented, then pre-analytic errors can be detected objectively, but this requires additional equipment and system complexity
Solution Approach 1:
The image detection system serves multiple functions: it verifies sample volume, identifies container type, checks sample characteristics, and detects potential errors. By using a single multi-functional imaging system rather than separate dedicated devices for each verification task, the system achieves high measurement precision while limiting the increase in overall device complexity.
Data Source
AI summary
It is provided an arrangement and method for supporting a measurement of a liquid sample contained in a container, the arrangement comprising: a measurement support equipment; a camera system adapted to acquire images of a region of interest in which the container is arrangeable; and a processor adapted: to analyze at least one image of the images, in order to obtain an analysis result; and to control the measurement support equipment based on the analysis result, wherein the measurement support equipment is in particular controlled without requiring touching anything except the container.