Automated Cell Culture System with Machine Learning Quality Control
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Solution Overview
Problem
Current biological manufacturing processes, particularly those involving mammalian cells, face significant variability and inefficiency due to the stochastic nature of cell processes, leading to low yields, high labor costs, and scalability issues.
Innovation Solution
The development of automated cell culture systems that integrate advanced imaging techniques, machine learning for objective quality assessment, and modular, closed-environment cell culture systems to enhance efficiency, scalability, and consistency in biological manufacturing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual cell culture processes are used with human operators making observations and edits, then cell quality can be monitored and adjusted, but the process becomes expensive, unscalable, and prone to high variability
Solution Approach 1:
The patent replaces manual mechanical manipulation of cells and colonies with automated robotic systems. The robotic arm performs selective transfer, removal, and manipulation of cell colonies based on image analysis, eliminating human hands-on operations while maintaining control over cell quality and enabling scalability to large production volumes
Solution Approach 2:
The system implements automated image capture, analysis, and decision-making algorithms that enable the cell culture process to self-monitor and self-adjust. The machine learning models automatically identify quality deviations and trigger appropriate actions without human intervention, creating a self-regulating system that maintains reliability while scaling
2Reliability
If frequent transfer between cell culture containers is performed to manage cell density, then cell overgrowth is prevented, but the process becomes labor intensive and increases contamination risk
Solution Approach 1:
The patent implements continuous automated monitoring through time-lapse imaging and continuous environmental control within closed containers. This allows the system to maintain optimal cell culture conditions and manage cell density through automated interventions without breaking the sterile barrier, eliminating the need for repeated manual transfers while preventing contamination
Solution Approach 2:
The system introduces automated robotic arms and closed-container interfaces as intermediaries between the operator and the cell culture. These intermediaries enable all operations to occur within sealed environments, preventing direct human contact with cells and eliminating contamination risks associated with manual transfers
3Productivity
If large bioreactors are used for bulk cell production, then large volumes of cells can be produced, but the process lacks feedback control to account for variability
Solution Approach 1:
The patent implements real-time feedback control through continuous image capture and machine learning analysis. The system monitors cell morphology, density, and health parameters throughout the culture process and automatically adjusts cultivation conditions or triggers selective removal of poor-quality colonies, ensuring consistent product quality even at large production scales
Solution Approach 2:
The system divides the cell culture into individually monitorable and controllable units (colonies or cell groups) within the bioreactor. This segmentation allows selective intervention on specific cell populations while maintaining bulk production, enabling feedback control at the colony level while achieving large-scale output
Data Source
AI summary
Disclosed herein are platforms, systems, and methods including a cell culture system that includes a cell culture container comprising a cell culture, the cell culture receiving input cells, a cell imaging subsystem configured to acquire images of the cell culture, a computing subsystem configured to perform a cell culture process on the cell culture according to the images acquired by the cell imaging subsystem, and a cell editing subsystem configured to edit the cell culture to produce output cell products according to the cell culture process.