Highly modular and generic control software for adaptive cell processing on automated production platforms

Abstract

The expansion of patient derived stem cells requires adaptive processing protocols that consider the growth behavior. In order to minimize human errors and enhance reproducibility, the industry moves towards automated platforms. This bears several challenges for a control software, such as coping with non-deterministic processes and the prevalent heterogeneity of device interfaces. We have developed a service-oriented approach to meet the demand for flexibility while at the same time giving maximum control over data and devices. Hardware modules are integrated via agents into the control software following a plug-and-produce approach. This generic software is also easily adaptable for other applications.