
TechTalk: How AI-driven automation streamlines and standardizes complex cell culture workflows
Friday, February 27 at 15:00 GMT | 16:00 CET | 10:00 EST | 07:00 PST
Join this 20-min SelectScience TechTalk, held in partnership with Molecular Devices, to explore how you can leverage the power of AI and automation to standardize, streamline, and scale up cell culture across a wide range of model types, from iPSCs to brain organoids. Discover how both pharmaceutical companies and core facilities can save time, reduce manual workload, and acquire more robust, repeatable results.
We will also showcase the innovative CellXpress.ai® Automated Cell Culture system, a fully automated and integrated system that can automate the entire cell culture process.
Key learning objectives:
- Learn how even complex cell culture workflows can be reliably automated, reducing operator variability and increasing lab efficiency
- See how AI-powered decision-making enables the entire cell culture process to be automated while reducing human error
- How to incorporate automated cell culture into a wider automated workflow
- How to continuously monitor cell culture over time while being able to trace the entire cell journey
Who should attend?
- Lab managers
- Principal investigator
- Director of lab operations
Certificate of attendance
If you attend the live TechTalk, you will automatically receive a certificate of attendance, including a learning outcomes summary, for continuing education purposes.
If you view the on-demand TechTalk, you can request a certificate of attendance by emailing editor@selectscience.net.
TechTalk details
- Cost: Free to attend
- Location: Online
- Duration: 20 minutes
Registration is required to secure your place. If you register but can’t attend live, you will receive a link to the on‑demand recording once it becomes available
Speakers

Michele Argentati has a background in biomedical engineering and a degree from the Polytechnic of Turin. After working as a consultant in the pharmaceutical industry specializing in compliance, he gained experience as an automation engineer before moving to Molecular Devices to specialize in the CellXpress.ai® Automated Cell Culture System.
