Join this webinar to explore how process Raman spectroscopy can support bioprocessing automation across upstream and downstream workflows.
Perfusion bioreactor processes offer clear productivity 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 creates lag. Offline assays can’t keep pace with the process dynamics.
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.
Glucose feeding, media addition, harvest rate, and bleed decisions in perfusion all benefit from high-frequency measurement, but most facilities are still relying on at-line or offline analytics that introduce hours of lag.
In-line Raman spectroscopy changes that equation — but only if the measurement is robust and the chemometric models are fit for purpose in a dynamic cell culture environment. This session covers both the analytical strategy and the practical implementation considerations.
In this webinar you will:
- Understand the specific control challenges in perfusion mode that in-line Raman is best positioned to address
- See how real-time Raman measurement can be used to monitor glucose, lactate, viable cell density, and other CPPs continuously
- Learn how predictive models built on Raman data can trigger automated feeding and harvest decisions
- Hear practical considerations for moving from Raman measurement to automated process control in a bioreactor environment
The session will address common challenges associated with maintaining stable control in perfusion bioreactor processes.
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.
Register your details to secure your free spot >>>
Nimesh Khadka, PhD, Senior Application Scientist, Thermo Fisher Scientific
Nimesh works on Raman spectroscopy as a process analytical technology for biotherapeutic development, with particular focus on upstream process monitoring and chemometric model development. He holds a PhD from Utah State University in enzymology and spectroscopy, and has over five years of experience supporting process development teams on PAT implementation.
FAQs
Is the panel discussion free?
Yes – there is no charge to watch the panel discussion, either live or on-demand.
When will the panel discussion take place?
13 May 2026 at 3PM BST.
Can I watch it later?
The panel discussion will become available to watch on-demand shortly after the live webinar takes place.
What are the benefits of attending live?
You’ll be able to ask the speakers your questions, which will be answered live in the Q&A towards the end of the session.
How long will the panel discussion be?
This panel discussion will last 45 minutes.