Automated Cell Collection Timing via Image Analysis
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Solution Overview
Problem
Cell cultures in vessels, such as culture dishes, reach an upper limit in cell number, leading to slowed division or cell death, necessitating timely cell collection to prevent these issues.
Innovation Solution
A system and method that utilize image processing and machine learning algorithms to determine when cell collection is necessary by analyzing the area of the background and number of cells in a vessel, generating instructions for personnel to collect cells when thresholds are met, employing modules like image obtaining, cell counting, time sequencing, and image dividing to accurately assess cell growth and proliferation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual monitoring of cell culture is used, then personnel can observe cell growth, but timely detection of cell collection needs is difficult leading to delayed response
Solution Approach 1:
The system enables automated self-monitoring of cell culture conditions through image acquisition and analysis modules that continuously track cell confluency and automatically determine when cell collection is needed, eliminating the need for manual observation and enabling timely automated response
Solution Approach 2:
Manual visual inspection and manual monitoring are replaced with automated image processing systems and machine learning algorithms that objectively measure cell confluency and predict optimal collection timing, providing precise and timely detection without human intervention
2Reliability
If cell culture continues without automated monitoring, then simple operation is maintained, but cell division slows down or cells die due to reaching upper limit
Solution Approach 1:
The cell culture system performs self-assessment through automated image analysis and machine learning models that evaluate cell confluency and health status, automatically generating collection recommendations without requiring complex external monitoring infrastructure
Solution Approach 2:
The system uses image copying and digital analysis of cell culture vessels, creating digital twins of the physical culture environment that can be analyzed without disturbing the actual cells, enabling reliable monitoring with minimal added complexity
3Measurement precision
If frequent manual inspection is performed, then cell collection timing can be detected, but productivity decreases due to time spent on monitoring
Solution Approach 1:
The system autonomously performs continuous monitoring and analysis of cell culture conditions, automatically detecting optimal collection timing without requiring researcher intervention, thereby maintaining high measurement precision while preserving research productivity
Solution Approach 2:
The automated system provides continuous monitoring and analysis of cell culture progression, enabling precise detection of collection timing needs without interrupting research workflows, thus maintaining both detection accuracy and overall productivity
Data Source
AI summary
In a method for promoting timely collection of cells being cultured in a vessel, image of the vessel and contents is obtained. A cell counting result, a sum of areas of unoccupied background regions, and a sum of area of cell-occupied regions are obtained based on the image. A specified cell collection range is obtained based on expected culturing time. A collection promoting instruction is generated when the cell counting result is in the specified cell collection range or when the sum of areas of unoccupied background regions is less than the specified cell collection area threshold value. A system applying the method is also provided.