Cell Population Image Evaluation Using Spatial Order Indices

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Solution Overview

Problem

Conventional cell population quality evaluation methods lack a quantitative correlation between indices and quality, making it difficult to assess the quality of cell populations accurately.

Innovation Solution

A cell evaluation method that calculates indices such as average distance, spring constant, and hexagonal order parameter from captured images to quantify the quality of cell populations, using quadratic curve fitting and Boltzmann distribution for distance consistency, and ROC analysis for sensitivity.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If conventional cell population quality evaluation methods using aspect ratios and visual observation are used, then the evaluation process is simple, but the quantitative correlation between indices and quality is insufficient

Engineering Contradiction:

Improvequantitative evaluation accuracyVSAvoidevaluation method complexity

Core Design Contradiction:

Measurement precisionVSDevice complexity

Solution Approach 1:

The patent introduces multiple new parameters (average distance, spring constant, hexagonal order parameter) to replace conventional simple metrics like aspect ratio. These parameters provide quantitative correlation with cell population quality by measuring different aspects of cell arrangement and organization, thereby improving measurement precision while accepting increased evaluation complexity

Inventive Principle:

Principle #35Parameter changes

Solution Approach 2:

The patent replaces visual observation and subjective evaluation with automated image processing and mathematical calculations. By using algorithms to compute indices from captured images, the system transforms qualitative visual assessment into quantitative measurement, improving precision through objective data analysis

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

2Measurement precision

If multiple indices are calculated to quantitatively evaluate cell population quality, then the evaluation accuracy improves, but the calculation complexity increases

Engineering Contradiction:

Improvequality evaluation precisionVSAvoidindex calculation difficulty

Core Design Contradiction:

Measurement precisionVSDifficulty of detecting and measuring

Solution Approach 1:

The patent divides the complex evaluation task into separate calculable indices: average distance between cells, spring constant representing distance consistency, and hexagonal order parameter for arrangement regularity. Each index can be calculated independently from captured images, making the overall complex measurement process manageable through systematic segmentation of measurement objectives

Inventive Principle:

Principle #1Segmentation

Data Source

PatentUS12511736B2Cell evaluation method, cell evaluation device, and cell evaluation program

Publication Date: 2025.12.30 KYOTO UNIV

AI summary

A cell evaluation method evaluates the quality of a cell population including a plurality of cells. The cell evaluation method comprises: an index calculation step of calculating an index, based on a captured image of the cell population, the index including at least any one of an average distance representing a packing degree of the cells, a spring constant representing a degree of consistency in distances between the cells, and a hexagonal order parameter representing a degree to which an arrangement of the cells resembles a regular hexagon; and an evaluation step of evaluating the cell population, based on the index calculated in the index calculation step.