Digitalization and Automation of Cell Culture Processes

Building accurate and robust Raman models for online monitoring of cell culture processes remains a difficult and time-consuming task. A novel offline calibration approach based on design-of-experiment spiking and multivariate data analysis was developed to monitor of several cell culture components simultaneously. Raman prediction models enabled real-time insight into the cell culture state and allowed automated process control loops such as nutrient feeding.

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Prof. Dr. Thomas Villiger

Team Leader