Tracking Inline Cell Count and Dimension to Ensure Targeted Cell Culture Productivity - METTLER TOLEDO

Tracking Inline Cell Count and Dimension to Ensure Targeted Cell Culture Productivity

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Tracking Inline Cell Count and Dimension to Ensure Targeted Cell Culture Productivity
This online seminar will introduce tools used in fermentation and outline a number of academic and industrial case studies on fermentation processes including E. Coli, mammalian cells, plant cells and filamentous organisms. 

Inline Process Analytical Technology (PAT) has become critical to ensuring productivity in the biotechnology industry. Return on investment in Process Analytical Technology (PAT) comes from R&D and manufacturing.  Typically, this is achieved by getting more robust processes to market quicker which ultimately minimizes the process risks from batch to batch and also improves process optimization.  With the advent of in-process Process Analytical Technology (PAT) tools for particle/cell characterization one can quantify particle/cell number and dimension in applications such as fermentation, separation, and formulation.

Application examples include:
  • Ensure cell culture productivity by detecting the mode of cell death (apoptosis) through changes in cell number and dimension
  • Monitor cell count, cell density in real time with no need for sampling
  • Study cell debris and cell debris flocculation
  • Streamline scale-up from shaker flasks to the pilot scale
  • Optimized protein crystallization
Cell Count Fermentation Webinar
Preview the On-Demand Webinar
Established probe based tools used to track particle/cell number, shape, and dimension in real time with no sampling or sample preparation necessary. With their ability to optimize, monitor and control unit operations from the lab to the plant, these established probe based tools have been used to reduced time to market for new processes, improved process and product quality, and streamlined regulatory compliance. 

Webinar Presenter

Your online presenter, Brian O’Sullivan, has over five years experience in particle system characterization and the
implementation of Process Analytical Technology (PAT) tools in laboratory and full scale production reactors.

Related Topics: PAT, Process Analytical Technology, cell count, cell dimension, cell culture, biotechnology, particle characterization, cell characterization, fermentation, protein crystallization, formulation, FBRM®, PVM®. E.Coli, mammalian cells, plant cells, filamentous organisms, particle system characterization, particle size, particle shape