Cell Image Analysis Using Distance-Squared Colocalization
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Solution Overview
Problem
Existing image analysis methods for pathological and cytological diagnoses primarily focus on cell classification but lack the capability to quantify colocalization between cells, which is crucial for comprehensive tissue and cytological analysis.
Innovation Solution
An image analysis method that calculates colocalization values between cells using a predetermined formula, considering the inverse proportion of colocalization to the square of the distance between cells, and outputs both cell classification and colocalization quantification.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If existing image analysis methods are used for cell classification, then cell classification capability is provided, but colocalization quantification between cells is not available
Solution Approach 1:
The image analysis device is enhanced to perform multiple functions: it executes image matching analysis for cell classification and additionally calculates colocalization values between cells. This multi-functional approach allows the same system to provide both cell type identification and spatial relationship quantification, resolving the contradiction between maintaining classification capability and adding colocalization analysis capability
2Adaptability or versatility
If colocalization analysis is added to image analysis methods, then comprehensive cell interaction analysis is enabled, but system complexity increases
Solution Approach 1:
The colocalization calculation function is merged with the existing image matching analysis workflow. The system uses the same image data and cell detection results from the matching analysis to compute colocalization values, rather than implementing a completely separate analysis pipeline. This integration approach enables comprehensive analysis while minimizing the increase in system complexity
Data Source
AI summary
An image analysis method includes a calculation unit that calculates a colocalization value indicating colocalization between two target cell objects among a plurality of target cell objects and an output unit that outputs output data acquired by using the colocalization value to an external, wherein the calculation unit calculates the colocalization value by using a first calculation that includes multiplying a first matching rate specified for a first target cell object and a second matching rate specified for a second target cell object and a second calculation that includes dividing a calculated value acquired by the first calculation by first distance squared, the first distance being a distance between the first target cell object and the second target cell object.