Automated Cell Quality Analysis via Image Processing
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Solution Overview
Problem
Conventional cell culture apparatuses lack an automatic image analysis function for determining cell quality, leading to inefficiencies in assessing cell growth and potential loss of cell characteristics over generations, which affects reproducibility and requires manual examination and external verification.
Innovation Solution
An automatic system that extracts cell characteristics from images using image processing programs, determines cell quality based on these characteristics, and stores analysis recipes for different cell types, enabling automated quality assessment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual examination of cell quality is performed by experimenters, then cell quality can be assessed, but it consumes much time and labor especially when large quantities or many types of cells are cultured
Solution Approach 1:
The patent replaces the manual mechanical examination system with an automated image analysis system using computers and software programs. The system captures cell images and automatically extracts characteristics such as cell count, area, shape, and distribution patterns, eliminating the need for manual observation and measurement while maintaining or improving assessment accuracy.
Solution Approach 2:
The system enables self-service quality assessment by automatically analyzing cell images without requiring experimenter intervention. The computer executes analysis programs that independently evaluate cell characteristics, generate quality reports, and determine whether cells meet specified standards, allowing the system to serve itself in the quality determination process.
2Adaptability or versatility
If manual cell quality assessment is performed, then cell characteristics can be evaluated, but determination criteria are not clear leading to variance in quality from one experimenter to another
Solution Approach 1:
The patent establishes explicit quantitative parameters and thresholds for cell quality assessment, such as minimum cell count, area ranges, shape factors, and distribution density metrics. These standardized parameters replace subjective manual criteria, ensuring that the same cell sample yields consistent quality determinations across different experimenters and laboratories.
Solution Approach 2:
The system creates universal quality standards that can be applied across different cell types and experimental conditions. The analysis programs can be configured with cell-type-specific parameters while maintaining a consistent evaluation framework, enabling reproducible quality assessment that is both adaptable to different cells and reliable across users.
3Reliability
If experimenters manually monitor cell characteristics to prevent subspecies proliferation, then cell purity can be maintained, but it requires continuous attention and external verification
Solution Approach 1:
The system enables continuous automated monitoring of cell characteristics throughout the culture process. Instead of periodic manual checks, the image analysis system can continuously or frequently assess cell morphology, count, and distribution patterns, maintaining reliable quality control without requiring experimenter attention and providing ongoing verification.
Solution Approach 2:
The system provides automated feedback on cell quality by comparing measured characteristics against predetermined standards. When deviations are detected, such as signs of subspecies proliferation or contamination, the system generates alerts or reports, enabling timely intervention while simplifying the monitoring operation through automatic detection and notification.
Data Source
AI summary
An automatic culture device 1 having an automatic quality determination system is equipped with an analysis program 12. The analysis program 12 extracts cell characteristics from a captured image of a cell by driving a characteristic quantity extraction program 13, which is an image processing program for extracting characteristics (characteristic quantities) of this cell. The quality of the cell is then determined from the extracted characteristic or a combination of a plurality of characteristics by driving an identification program 15 that determines the quality of a cell. This allows cell quality determination to be automated.