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[WEBINAR] Model-driven transfection and transduction optimization

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Cell density, seeding density, reagent dose, nucleic acid quality and dose, incubation time, complexation media - there are a number of factors that contribute to the quality of a transfection or transduction unit operation. The novel use of mechanistic modeling in combination with Computational Fluid Dynamics (CFD) enables virtual experiments to be performed (on real or imagined equipment sets) to understand the impact of critical process parameters and create a protocol for optimal efficiency.

This presentation discusses the use of novel techniques and leverage case studies to review:

  • What is Computational Fluid Dynamics (CFD)?

  • The use of CFD for understanding the impact of mixing, sheer, scale-up, energy dissipation and oxygen displacement

  • The use of Discreet Element Method (DEM) to quantify cell distribution, cell trajectory and number of number of collisions between cells and virus in media

NOTE: The recording below of this presentation is from 2022. In 2024, new advances in this area are being presented including AI-driven models and high-throughput technologies, please contact us to learn more about Model-driven Transfection & Transduction Optimization.

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