(141e) Development of an End-to-End Data Management and Visualization System for Cell Culture Process Development
AIChE Annual Meeting
Monday, October 29, 2018 - 2:10pm to 2:35pm
To better maintain and use cell culture data, we developed an endâtoâend data management and visualization system to meet user requirements while presenting familiar and user friendly interfaces that are accessible to both highly trained laboratory personnel as well as site leadership.
In the cell culture process development laboratory, the core of the system is a customized control system implementation for process control, coordination of run metadata, and automation of process execution. Users interact with simple templated Excel worksheets to deliver run parameters to the control system. A PI server archives data from the process control system and in-process analyzers; parallel data streams from pilot plant and clinical manufacturing campaigns are shared into the historian across enterprise level PI connections. PI data from active and historic runs across all scales can be queried and retrieved by PI client applications for realâtime visualization and comparison or adâhoc analysis. Archived data from all sources are processed through a routine to automate data interpolation, alignment, and calculations. Processed data is available in a relational SQL database for use by powerful visualization, business analytics, and analytical software.
This system has replaced Excel as the primary access point to cell culture data, reducing labor and risk of errors by automating the data management process. It has enabled flexible comparison and more valuable visualization and analysis of data across runs and scales which previously were not feasible. We envision this system to have applicability from process development studies to ongoing monitoring of manufacturing campaign data and to be expandable to be inclusive of process data from contract manufacturing facilities and product quality analytical data.