Biological Sample Detection Device Label Masking
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Solution Overview
Problem
Existing biological sample detection devices face accuracy issues when dealing with samples that have colored labels similar to the detection object region, leading to incorrect extraction of color information and sample type determination.
Innovation Solution
A biological sample detection device that includes an imaging section, a storage device, and a processor performing image processing to determine the presence of a colored label, extract it from the image, and accurately separate it from the detection object region, allowing for precise measurement of liquid amount and sample type classification.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If color information is extracted by identifying the boundary position of the label in the detection object region, then the liquid amount and sample type can be measured, but the color of a colored label similar to the detection object color may be mistakenly extracted, leading to deterioration in color extraction accuracy
Solution Approach 1:
The patent extracts and removes the colored label region from the detection object region by identifying the label's boundary position and creating a mask. This separates the label information from the sample information, allowing accurate extraction of the detection object's color without contamination from the label's color.
Solution Approach 2:
The patent segments the image into distinct regions: the colored label region and the detection object region. By dividing the detection object region into multiple sub-regions based on the label's boundary position, the system can accurately identify and exclude the label area while preserving the sample area for color analysis.
2Measurement precision
If the boundary of the label is detected to measure the liquid amount, then the amount of serum can be estimated, but the color information of the analysis object is not acquired to determine the sample type
Solution Approach 1:
The patent merges two functional processes into one integrated system: (1) the label boundary detection process for liquid amount measurement, and (2) the color information extraction process for sample type determination. By combining these processes and using the label boundary information to define the detection object region, the system simultaneously achieves both liquid amount measurement and color information acquisition.
3Measurement precision
If visual inspection is performed manually to determine sample condition, then color and liquid amount can be assessed, but efficiency in clinical inspection is reduced
Solution Approach 1:
The system performs self-service automation where the detection device automatically captures images, identifies label boundaries, extracts color information, and determines sample conditions without requiring manual visual inspection. The device uses its own integrated imaging and processing capabilities to complete the entire sample check process autonomously, thereby maintaining accuracy while dramatically improving efficiency.
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 device achieves high accuracy in detecting the color and amount of biological samples with colored labels by effectively distinguishing between the label and the sample region, preventing errors in sample type determination and liquid measurement.
Implementation Method 1
an imaging device which takes and outputs a color image of the biological sample tube
Data Source
AI summary
A biological sample detection device configured to acquire color information of an object of analysis without a deterioration in color extraction accuracy caused by incorrect extraction of color of a colored label and to measure the amount of liquid and determine the type of a sample, by analyzing the biological sample housed in a biological sample tube to which a colored label is attached, and determining whether or not a colored label is present on the biological sample tube; extracting the colored label determined to be present by the colored label presence determining process; removing the colored label from the color image and extracting a detection object region in the biological sample; and analyzing to acquire color information of the detection object region and analyze the liquid amount and the type of the biological sample.