INSIGHTS ON UPSTREAM MANUFACTURING

• Intensification Of Upstream Operations With Dynamic Perfusion

  Dynamic perfusion simplifies continuous cell culture by eliminating cell bleed. Compare upstream strategies across productivity to understand their potential for more efficient mAb production.

• Saving Time And Money With Better Microbial Strain Selection

  Deeper, automated E. coli screening can reduce cell line development costs by narrowing the design space, lowering the marginal cost of additional experiments, and improving downstream productivity through higher titers and cleaner harvests.

• Analytical Blind Spots That Derail Microbial Programs Before The Clinic

  High refolding yields aren’t enough. Learn how analytical characterization, structural equivalence testing, and optimized fermentation reduce scale-up risk and improve quality.

• Single-Use Clarification Across Process Scales

  Gain insight into how combining centrifugation with targeted depth and chromatographic clarification can reduce filter demand, ease facility constraints, and support efficient mAb harvest.

• Optimizing mAb Production: Upstream Process Intensification Strategies

  9/1/2026

  See how integrated upstream and downstream intensification strategies can increase monoclonal antibody yield, streamline workflows, improve facility utilization, and reduce manufacturing costs.

• How Perfusion In Seed Train Bioreactors Can Simplify Upstream Processes

  9/1/2026

  N-1 perfusion achieved approximately 95% viability while scaling from bench to production. See how this approach intensified seed trains without affecting subsequent fed-batch performance.

• Using Computational Fluid Dynamics To Design Scalable Processes

  8/31/2026

  Learn how CFD modeling and experimental data can be combined to assess power input, mixing, oxygen transfer, and more across bioreactor scales, supporting sound process decisions.

• Driving Optimization Through Connected Laboratory Environments

  8/31/2026

  Discover how connected laboratory data and predictive modeling can strengthen process control, improve yield, and more, creating a faster and more resource-efficient approach.