Cell Counting System Multi-Image Segmentation Low Concentration
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Solution Overview
Problem
Current cell counting systems face challenges in achieving accurate and repeatable results, particularly with samples having low cell concentrations, due to variability in cell dispersion and distribution, leading to inconsistent test results.
Innovation Solution
A cell counting system that utilizes a sample holder with a transparent window and a motion system allowing for multiple imaging configurations, including rotational and translational movements, to capture digital images from different portions of the sample, ensuring consistent cell distribution and reducing variability by analyzing multiple images to obtain a comprehensive cell count.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If a single digital image is captured for cell counting, then the test time is reduced, but the measurement precision deteriorates due to non-uniform cell distribution
Solution Approach 1:
The sample holder window is divided into multiple discrete imaging areas (first area, second area, third area, fourth area) that can be independently imaged. This segmentation allows the system to capture cells from different regions of the sample, reducing the impact of non-uniform distribution in any single area while maintaining efficient testing.
2Measurement precision
If multiple digital images are captured from different portions of the sample, then the measurement precision improves, but the device complexity increases due to motion systems
Solution Approach 1:
The sample holder is designed with rotational capability, allowing it to dynamically reposition between different imaging configurations. This dynamic element enables the system to access multiple imaging areas without requiring complex multi-axis motion systems, thereby improving measurement precision while controlling device complexity.
Solution Approach 2:
The sample holder serves multiple functions: it holds the sample, positions it for imaging, and enables rotation to present different areas to the imaging system. This multi-functionality consolidates what would otherwise require separate components, improving precision without proportionally increasing complexity.
3Productivity
If the sample holder includes multiple windows for samples, then the productivity increases, but the device complexity increases due to additional components
Solution Approach 1:
Multiple sample windows are integrated into a single sample holder assembly that rotates as one unit. This merging of multiple sampling capabilities into a single rotatable component allows the system to process multiple samples efficiently while avoiding the complexity of multiple independent sample holders or complex indexing mechanisms.
Data Source
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AI summary
An automated system captures multiple digital images of a sample, from different viewing areas of the sample. The images are analyzed and a test result may be reported based on the count of cells in all of the digital images. The system may be especially applicable to the testing of samples having low cell concentrations, as the variability between tests may be reduced as compared with a system that bases its test results on only a single image of the sample. The system may count the cells in a first digital image of the sample, and may capture or analyze one or more additional digital images only when it is recognized that additional measurements are needed to ensure adequate accuracy and repeatability of the test.