Smear Staining Quality Control Using Lab-Specific Image Features
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Solution Overview
Problem
Existing quality control methods for smear staining do not account for variations in smearing and staining conditions across different laboratories or regions, leading to inconsistent quality assessment.
Innovation Solution
A method and apparatus that generate smear quality control information by obtaining feature values from multiple image data, reflecting staining states, and generating quality control information adapted to specific laboratory or regional conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If predetermined reference values are used for quality control, then quality assessment is simplified, but adaptability to different laboratories and regions deteriorates
Solution Approach 1:
The patent changes the reference values dynamically based on the specific laboratory or region. Instead of using fixed predetermined reference values, the system determines reference values that are adapted to each laboratory's specific smearing and staining conditions, thereby maintaining both simplicity and adaptability
Solution Approach 2:
The patent performs preliminary determination of appropriate reference values for each laboratory before actual quality control assessments. By pre-adapting the reference values to each laboratory's conditions, the system eliminates the need for complex real-time adjustments while maintaining high adaptability
2Stability of the object's composition
If fixed reference values are applied across all laboratories, then standardization is improved, but measurement precision for local conditions deteriorates
Solution Approach 1:
The patent applies the principle of local quality by determining that different laboratories require different reference values based on their specific conditions. Each laboratory receives customized reference values that are precisely matched to its local smearing and staining characteristics, thereby achieving both standardization through systematic approach and precision through local adaptation
3Measurement precision
If multiple image data are processed to generate quality control information, then accuracy of quality assessment is improved, but processing complexity increases
Solution Approach 1:
The patent implements a multi-functional processing system that simultaneously performs multiple operations on the image data: extracting feature values, comparing with reference values, determining quality control information, and adapting to different laboratories all within a single integrated system. This reduces overall complexity despite the multiple processing steps
Data Source
AI summary
A method of generating smear quality control information according to an embodiment may include: obtaining a plurality of image data from a plurality of smears, respectively; obtaining, from the plurality of image data, feature values each of which reflects a staining state of each smear; and generating quality control information based on the feature values.