Automated Cell Monitoring Through Machine Learning Cell Algorithms
By Yves Daniel, Senior Software Solutions Engineer, Ovizio and Thomas Guyon, Product & Marketing Manager, Ovizio
Monitoring cells in a bioreactor is historically performed in an offline fashion through manual sampling. This labor-intensive process is prone to sampling bias and carries an inherent risk of bioreactor contamination. There is a real industry desire to improve this process. Continuous cell monitoring through closed loop bioreactor connection would obliviate the need for sampling. This would increase process insight and reduce the risk of contamination, the error due to sampling bias and the required human labor.
Learn how Ovizio enables such continuous measurement by combining a quantitative phase analyzer for label-free imaging, machine learning algorithms for cell monitoring and patented cartridges for closed-loop bioreactor connection.
Get unlimited access to:
Enter your credentials below to log in. Not yet a member of Bioprocess Online? Subscribe today.