Blood Sample Image Analyzer CBC Data Correlation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing methods for analyzing blood samples using image analyzers face challenges in providing accurate and compatible results with complete blood count (CBC) tests, leading to difficulties for clinical pathologists and diagnosticians in interpreting and reporting results.
Innovation Solution
A method that utilizes an image analyzer to capture and analyze images of blood samples, compare the results with CBC data from a laboratory information system, and output the comparison results, allowing for accurate and convenient analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If CBC testing and image analysis are performed separately using different equipment and methods, then each test can be optimized for its specific purpose, but the results become incompatible and difficult to interpret together
Solution Approach 1:
The patent combines CBC testing and image analysis into a single integrated system. The image analyzer performs both automated CBC testing and image-based cell classification, allowing results from both methods to be generated simultaneously and correlated with each other, thereby resolving the incompatibility issue while maintaining the precision benefits of separate optimized methods
Solution Approach 2:
The image analyzer is designed to perform multiple functions: it conducts automated CBC testing (measuring RBC, WBC, platelet counts and indices) and simultaneously performs image-based cell classification and differential counting. This multi-functionality allows a single device to provide both quantitative CBC results and qualitative morphological analysis, making the results compatible and interpretable together
2Productivity
If image analysis is performed alone without CBC data comparison, then image processing speed is maintained, but analysis accuracy and reliability are reduced
Solution Approach 1:
The system implements feedback by comparing image analysis results with CBC test results. The CBC data serves as reference information that validates and supplements the image-based classifications. When discrepancies are detected between the two methods, the system can flag them for review or automatically adjust the analysis, thereby maintaining high processing speed while improving reliability through cross-validation
Data Source
AI summary
A method for testing a blood sample includes capturing, by an image analyzer, a slide sample using an imaging device to obtain a sample image; obtaining, by an image analysis unit of the image analyzer, image analysis data by analyzing the sample image; calling, by a CBC data call unit of the image analyzer, complete blood count (CBC) result data of a complete blood sample that corresponds to the slide sample from a laboratory information system (LIS) server; comparing, by a comparison operation unit of the image analyzer, the CBC result data and the image analysis data based on data correlation; and outputting, by an information output unit of the image analyzer, the CBC result data, the image analysis data, and comparison result.