Networked Cell Culture Incubator with Automated Plate Handling
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Solution Overview
Problem
Conventional cell culture incubators require extensive human intervention, leading to potential human error, contamination, and inefficiencies in maintaining long-term cell cultures.
Innovation Solution
A networked cell culture incubator system that receives and shares operating parameter data between incubators, reducing the need for human intervention and minimizing errors through automated operation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If extensive human intervention is used to load/unload culture plates and move cell culture vessels, then operation flexibility is improved, but contamination risk and human error increase
Solution Approach 1:
The incubator system performs automated operations including loading and unloading of culture plates, movement of cell culture vessels, and monitoring of cell growth parameters without requiring human operators. The robotic arm automatically transports plates between the incubator and storage locations, while sensors continuously monitor cell density, pH, and other parameters, enabling the system to serve itself and eliminating human intervention that would introduce contamination risk.
Solution Approach 2:
The patent replaces manual mechanical operations with automated robotic systems. A robotic arm performs the physical tasks of transporting culture plates and vessels, while electronic sensors and computer-controlled mechanisms monitor and adjust incubation parameters. This substitution of mechanical human operations with automated mechanical and electronic systems eliminates the contamination risk associated with human operators while maintaining operational flexibility.
2Reliability
If human operators are highly trained to minimize errors, then reliability is improved, but labor cost and operational complexity increase
Solution Approach 1:
The incubator system incorporates multiple sensors that continuously monitor cell growth parameters including cell density, pH levels, temperature, and CO2 concentration. This feedback data is processed by a control system that automatically adjusts incubation conditions and alerts operators to potential issues. The automated feedback loop eliminates the need for highly trained human operators to detect and respond to subtle changes in cell culture conditions, reducing operational complexity while maintaining high reliability.
Solution Approach 2:
The system creates digital copies and records of all cell culture parameters, incubation conditions, and operational events. This data logging and digital archiving allows the system to track and analyze performance without requiring human memory or expertise. The automated recording and retrieval of operational data simplifies compliance tracking and reduces the training requirements for personnel while maintaining consistent, reliable operations.
3Reliability
If automated operations are implemented to reduce human involvement, then reliability is improved, but device complexity increases
Solution Approach 1:
The incubator system is divided into modular functional units: robotic transport modules for plate handling, environmental control modules for temperature and CO2 regulation, sensing modules for parameter monitoring, and data processing modules for analysis. This segmentation allows each module to perform its specific function independently with well-defined interfaces, making the overall complex automated system more manageable and easier to implement while maintaining high reliability through specialized, focused functionality in each module.
4Productivity
If continuous monitoring of cell culture conditions is performed, then productivity is improved, but energy consumption increases
Solution Approach 1:
The system employs periodic sampling and monitoring of cell culture conditions rather than continuous real-time monitoring. Sensors take measurements at predetermined time intervals, and the robotic arm performs imaging and analysis at scheduled periods. This periodic action reduces the total energy consumption of monitoring systems while still providing sufficient data to track cell growth trends, detect anomalies, and maintain high productivity in cell culture maintenance.
Data Source
AI summary
A method for identifying a cell line during incubation of the cell line, wherein a database of growth condition data for a cell line is provided. The database is shared in a network. Current growth condition data for a cell line being incubated is obtained and the current growth condition data for the cell line being incubated is compared to previously obtained corresponding growth condition data for the cell line in the database to indicate whether current growth condition data for the cell line is consistent with the previously obtained corresponding growth condition data for the cell line.