Cell Evaluation Apparatus Using Dual Discrimination Parts
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing methods for evaluating cell differentiation in multipotent stem cells, such as iPS and ES cells, often fail to detect remaining undifferentiated cells, which can lead to malignant tumors after tissue transplantation, and may overlook undifferentiated cells even when differentiated cells are detected.
Innovation Solution
A cell evaluation apparatus and method using two discrimination parts with different evaluation conditions, where the first part evaluates cells based on an initial image and the second part re-evaluates under different conditions, such as higher magnification or using fluorescent imaging, to confirm the presence of undifferentiated or differentiated cells, thereby preventing the oversight of undifferentiated cells.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a single discrimination part is used to evaluate cell differentiation, then the evaluation process is simple and fast, but undifferentiated cells may be overlooked and remain in the tissue
Solution Approach 1:
The evaluation system is divided into multiple independent discrimination parts (first discrimination part and second discrimination part), each responsible for detecting different cell types. The first discrimination part detects differentiated cells while the second discrimination part detects undifferentiated cells, allowing simultaneous comprehensive screening without slowing down the overall evaluation process
Solution Approach 2:
The patent introduces a new evaluation dimension by adding a second discrimination part that operates independently from the first. This second part specifically targets undifferentiated cells using different evaluation criteria, creating a multi-dimensional detection framework that prevents oversight of any cell type while maintaining evaluation efficiency
2Reliability
If multiple discrimination parts with different evaluation conditions are used, then detection accuracy improves, but the evaluation process becomes more complex and time-consuming
Solution Approach 1:
The evaluation system is segmented into distinct functional modules: a first discrimination part for differentiated cells and a second discrimination part for undifferentiated cells. Each module operates independently with its own evaluation conditions, allowing the system to maintain high accuracy while managing complexity through modular design
Solution Approach 2:
The system incorporates a determination part that receives results from both discrimination parts and provides feedback to resolve conflicts. When the first and second discrimination parts produce conflicting results, the determination part analyzes the situation and makes a final judgment, ensuring accurate cell type identification while maintaining system manageability
3Measurement precision
If high magnification imaging is used for evaluation, then detection precision improves, but the evaluation time increases
Solution Approach 1:
The evaluation process is segmented into two stages: initial evaluation at lower magnification using the first discrimination part for quick screening of differentiated cells, followed by targeted high magnification evaluation only when necessary using the second discrimination part for undifferentiated cell detection. This staged approach maintains precision when needed while minimizing overall evaluation time
Solution Approach 2:
The system applies high magnification imaging selectively rather than universally. High magnification is used partially - specifically when the first discrimination part indicates potential undifferentiated cells or when conflicts arise - rather than applying it to all cells, thereby maintaining detection precision for critical cases while reducing overall evaluation time
Data Source
AI summary
Provided are a cell evaluation apparatus and a cell evaluation method capable of preventing overlooking of remaining undifferentiated cells. A first evaluation part 1 and a second evaluation part 2 that evaluate cells to be evaluated are provided. The first evaluation part 1 includes first and second discrimination parts 31 and 32 that respectively discriminate whether the cells to be evaluated correspond to two types of cells on the basis of an image obtained by imaging the cells to be evaluated, and the second evaluation part 2 evaluates the cells to be evaluated under an evaluation condition different from an evaluation condition of the first evaluation part in a case where discrimination results in the first and second discrimination parts 31 and 32 are conflicting.


