Cell Image Analysis Device for Correlation Modeling
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional image processing techniques for analyzing cell morphology are insufficient in analyzing relationships between elements controlling vital cellular phenomena, making it difficult to understand and analyze the mechanisms governing cellular behavior.
Innovation Solution
An analysis device and method that acquires cell images, identifies elements, calculates characteristic quantities, and repeatedly analyzes the correlations between these elements to build a model representing the relationships between them, enabling detailed analysis of cellular mechanisms.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If image processing is performed on cell morphology images, then cell activity can be determined and biological phenomena can be elucidated, but the acquired information is insufficient and relationships between elements configuring mechanisms cannot be analyzed
Solution Approach 1:
The patent segments the cell into multiple identifiable elements (nucleus, cytoplasm, organelles, etc.) and analyzes each element's characteristic quantities separately. This segmentation allows comprehensive analysis of relationships between different cellular elements while maintaining manageable complexity through systematic processing of each segment.
Solution Approach 2:
The patent transitions from traditional two-dimensional image processing to multi-dimensional analysis by calculating characteristic quantities across multiple dimensions (spatial distribution, temporal changes, intensity variations) for each identified element. This dimensional expansion enables analysis of relationships between elements that cannot be captured by morphology alone.
2Measurement precision
If correlations between characteristic quantities of elements are calculated, then relationships between elements configuring mechanisms can be analyzed, but the analysis process becomes more complex
Solution Approach 1:
The patent divides the complex correlation analysis into segments by first identifying individual elements, then calculating characteristic quantities for each element separately, and finally computing correlations between these segmented quantities. This segmentation simplifies the overall calculation process while maintaining precision in analyzing relationships between specific element pairs.
Solution Approach 2:
The patent performs preliminary identification and characterization of cellular elements before conducting correlation analysis. By pre-identifying elements and calculating their individual characteristic quantities in advance, the subsequent correlation computation becomes more efficient and manageable, reducing overall calculation complexity while preserving measurement precision.
Data Source
AI summary
An analysis device includes an acquisition unit configured to acquire an image of a cell and an identification unit configured to identify elements that are identifiable on the basis of the image of cell acquired by the acquisition unit. Characteristic quantities of the elements identified by the identification unit are calculated, a correlation between the characteristic quantities is calculated on the basis of the calculated characteristic quantities of the elements, and a correlation between the elements is calculated on the basis of the calculated correlation between the characteristic quantities.