Stem Cell Colony Image Analysis for Objective Quality Evaluation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current methods for evaluating the quality of cultured pluripotent stem cells are subjective and prone to variations, lacking an objective and simple way to determine whether the culture condition is favorable or poor, which affects the maintenance of pluripotency and differentiation suppression.
Innovation Solution
A culture quality evaluation method that involves imaging cell colonies, dividing the images into smaller sections, calculating standard deviations of pixel values, and determining the ratio of images within a predetermined threshold to assess the culture quality objectively and automatically.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If visual observation by an operator is used to evaluate culture quality, then the evaluation can be performed simply, but the results vary due to subjectivity
Solution Approach 1:
The patent replaces the mechanical/visual observation system with an automated image processing system. The system captures images of cell colonies and automatically analyzes them by dividing images into smaller regions, calculating standard deviations of pixel values, and comparing these to reference values to objectively determine culture quality without human subjectivity
Solution Approach 2:
The evaluation system performs self-assessment by automatically processing images and making quality determinations without requiring operator intervention. The system uses algorithms to calculate standard deviations and compare them against predetermined reference ranges, enabling the system to evaluate its own input data objectively
2Loss of information
If detailed feature value comparison of multiple sections is used, then comprehensive cell state information is obtained, but the evaluation process becomes complex
Solution Approach 1:
The patent divides the cell colony image into multiple smaller regional images and evaluates each region separately by calculating standard deviations of pixel values. This segmentation allows comprehensive coverage of the entire colony while maintaining a relatively simple evaluation metric for each segment, balancing information completeness with process simplicity
Solution Approach 2:
The patent transforms the complex visual information of cell colonies into a simplified quantitative parameter - the standard deviation of pixel values. By changing the evaluation from qualitative visual assessment to a single numerical parameter, the system maintains comprehensive information while dramatically simplifying the evaluation process
Data Source
AI summary
A culture quality evaluation method comprises: a first step of culturing a pluripotent stem cell under a predetermined culture condition and creating a sample; a second step of imaging a proliferated cell colony in the sample and accordingly capturing an original image; a third step of dividing the original image into smaller images of a predetermined size and calculating standard deviations of pixel values of pixels of the smaller images; and a fourth step of judging whether the sample is an acceptable sample based upon a ratio of a number of the smaller images whose values of the standard deviations are within a predetermined range to a total number of the smaller images.