Optimising efficiency and yield through bioprocessing automation

Increasing yield is a primary goal in modern bioprocessing, but achieving it requires deeper process insight and faster, more responsive control strategies.This webinar examines how process Raman spectroscopy can address that gap, by providing continuous, in-line measurement of critical process parameters to support closed-loop feedback control and move perfusion operations toward greater autonomy.

Continuous monitoring offers clear advantages — higher viable cell densities, better product quality consistency, reduced media consumption — but maintaining tight control over nutrient concentrations, metabolite levels, and viable cell density in real time remains a significant operational challenge.

Frequent manual sampling introduces delays, and offline assays can’t keep pace with dynamic process conditions. As a result, process decisions are often made using outdated data, limiting optimization opportunities, and increasing variability.

This webinar examines how process Raman spectroscopy addresses these challenges, by providing continuous, in-line measurement of critical process parameters, enabling real-time visibility, and supporting closed-loop feedback control. The result is faster decision making, reduced process variability, and a clear path towards greater automation and increased yield.

Key process decisions, such as glucose feeding, media addition, harvest rate, and bleed decisions all benefit from high-frequency and real-time measurement. However, many facilities still rely on at-line or offline analytics that introduce hours of lag.

In-line Raman spectroscopy removes this bottleneck, enabling timelier and data-driven control, provided that the measurement is robust, and the chemometric models are designed for a dynamic cell culture environment.

This session covers both the analytical strategy and the practical implementation considerations required to successfully deploy Raman for process insight, automation, and measurable performance improvements across bioprocessing.

In this webinar you will:

• Discover how real-time process insights can drive increased yield, improve consistency, and reduce process variability
• Understand key monitoring and control challenges across upstream and downstream bioprocessing—and how to overcome them
• See how real-time Raman measurement enables continuous monitoring of glucose, lactate, viable cell density, and other CPPs
• Learn how predictive models built on Raman data can enable automated, data-driven decisions about feeding and harvest
• Gain practical guidance on implementing Raman measurement for scalable automation and closed-loop control in bioreactor environments

Attendees will also gain insight into how real-time measurement can be used to predict and respond to changes in critical process variables, enabling more informed control of glucose feeding, media addition, harvest and bleed.

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