Optical Specimen Preprocessing for Blood Inhibitor Detection
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Solution Overview
Problem
Current methods for detecting test inhibiting factors in blood specimens, such as chylous, hemolytic, and icteric states, are inaccurate and time-consuming, often requiring visual inspection or multiple reagent tests, and struggle to differentiate between various inhibitors effectively.
Innovation Solution
A test preprocessing method that captures images of blood specimens using both front and backlight to detect brightness and hue, employing the HSV method for chylous and hemolytic state detection and RGB for icteric state detection, allowing for accurate and quick identification of test inhibiting factors like fibrin and defective blood clotting.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If visual inspection or multiple reagent tests are used to detect test inhibiting factors, then detection accuracy may be improved, but processing time increases significantly
Solution Approach 1:
The patent replaces manual visual inspection and multiple reagent-based chemical tests with an automated optical detection system using image capture devices. The system captures images of specimens under different lighting conditions (front light and backlight) and uses image processing algorithms to detect test inhibiting factors such as hemolysis, icterus, and lipemia, thereby substituting mechanical/chemical processes with optical-electronic detection that is both rapid and accurate.
Solution Approach 2:
The system performs preliminary detection of test inhibiting factors before actual biochemical analysis begins. By capturing images and analyzing specimen appearance characteristics in advance, the system identifies specimens with potential interference issues (hemolytic, icteric, or lipemic states) prior to reagent addition and processing, allowing for early intervention or exclusion of unsuitable specimens.
2Adaptability or versatility
If multiple reagent tests are performed to detect different inhibitors, then detection coverage improves, but reagent consumption and processing complexity increase
Solution Approach 1:
The patent implements a universal optical detection system that can identify multiple types of test inhibiting factors (hemolysis, icterus, lipemia) using a single integrated apparatus. The system captures images under different lighting conditions and uses multi-parameter image processing to simultaneously detect various specimen abnormalities, eliminating the need for separate reagent tests for each type of inhibitor while maintaining comprehensive detection coverage.
Solution Approach 2:
The system detects different types of test inhibiting factors by analyzing changes in optical parameters (brightness, contrast, color characteristics) under different lighting conditions. By varying illumination parameters (front light intensity, backlight intensity) and analyzing the resulting image parameter changes, the system can distinguish between hemolytic, icteric, and lipemic specimens without requiring different reagents or test procedures.
3Measurement precision
If sequential detection of multiple inhibitors is performed, then comprehensive analysis is achieved, but processing time becomes unacceptably long
Solution Approach 1:
The patent merges the detection of multiple test inhibiting factors into a single simultaneous measurement process. The image capture device captures specimens under multiple lighting conditions (front light and backlight) in quick succession, and the image processing unit analyzes all parameters concurrently to identify hemolysis, icterus, and lipemia in one integrated operation, rather than performing sequential tests for each condition.
Solution Approach 2:
The system maintains continuous operation by capturing images under different lighting conditions in rapid sequence without interrupting the workflow. The image processing occurs continuously as images are captured, allowing for real-time detection of test inhibiting factors as specimens move through the system, thereby maintaining high productivity while ensuring accurate detection.
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
This approach enables precise and rapid detection of test inhibiting factors, improving the accuracy of specimen evaluation and preventing reagent waste by distinguishing between different inhibitor states, ensuring reliable test results.
Implementation Method 1
detecting a brightness of a specimen based on image of the specimen acquired by capturing the specimen
Implementation Method 2
detecting a hue of the specimen based on the image
Data Source
AI summary
According to an embodiment, a test preprocessing method includes, detecting a brightness of a specimen based on image of the specimen acquired by capturing the specimen before test processing of the specimen, and detecting a chylous state of the specimen based on the brightness, and detecting a hue of the specimen based on the image, and detecting a hemolytic state of the specimen based on the hue.