Cell Maturity Evaluation via Spatial Distribution Analysis
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Solution Overview
Problem
Current methods for evaluating the maturity of epithelial cells, such as RPE cells and epidermal cells, are inaccurate in distinguishing between immature and over-mature cells, which is crucial for regenerative medicine applications.
Innovation Solution
A system comprising a device and program that acquires distribution information from images of cultivated cells, determining their state by analyzing representative points, inter-representative point distances, and angles to assess cell maturity, utilizing a processor to execute image acquisition, representative point determination, and condition determination units.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional cell evaluation methods are used, then the evaluation process is simple, but the accuracy in distinguishing between immature and over-mature cells deteriorates
Solution Approach 1:
The patent segments the cell evaluation process into multiple distinct analysis components: distribution information acquisition, representative point determination, inter-representative point distance calculation, and angle calculation. Each component processes specific spatial characteristics of cells independently, allowing for comprehensive maturity assessment while maintaining systematic organization of the complex evaluation task.
Solution Approach 2:
The patent transitions from conventional single-parameter cell evaluation to multi-dimensional spatial analysis by incorporating distribution patterns, representative point positions, inter-point distances, and angular relationships. This dimensional expansion enables more accurate differentiation of cell maturity states by considering cells' spatial arrangements in multiple geometric dimensions simultaneously.
2Measurement precision
If detailed spatial analysis of cells is performed, then the determination accuracy of cell state improves, but the processing time and computational load increase
Solution Approach 1:
The patent performs preliminary determination of representative points for each cell before conducting the actual maturity assessment. By pre-identifying key spatial coordinates and distribution characteristics, the system prepares essential data structures that accelerate subsequent calculations of inter-representative point distances and angles, reducing overall processing time while maintaining comprehensive analysis.
Solution Approach 2:
The evaluation system automatically extracts and processes spatial features from cell images without requiring manual intervention. The representative points, distribution information, and geometric parameters are self-calculated from the image data, enabling the system to serve itself in data preparation and analysis, thereby reducing time loss while achieving high determination accuracy.
Data Source
AI summary
A device includes: a distribution information acquiring part configured to acquire, based on an image in which a plurality of cells that are cultivated in a predetermined area are imaged, distribution information relating to a distribution in the predetermined area of the plurality of cells; and a determination part configured to determine a cultivated state of the plurality of cells based on the distribution information acquired by the distribution information acquiring part.