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Automated Microfluidic Cell Culture of Stem Cell-derived Dopaminergic Neurons

About this event

Laboratory automation is becoming more and more widespread in the life sciences as a whole but also in 3D cell culture.

Having a robot perform your validated protocols can enhance experimental reproducibility by reducing variance between replicates as well as increase throughput.

The OrganoPlate® platform is a unique microfluidic 3D cell culture platform that supports up to 96 tissue models in a single standard 384 microtiter plate and is compatible with automation on standard platforms.

In this webinar, Prof. Ronan Fleming (Leiden Academic Centre for Drug Research, Leiden, The Netherlands) will describe how his research group and collaborators developed the “Pelican.”

By combining and integrating developmental biology, microfluidic cell culture, and laboratory automation technology, they created a flexible automated, enclosed microfluidic and macroscopic cell culture observatory.

The Pelican was used to automate cell culture and differentiation of human neuroepithelial stem cells into dopaminergic neurons inside the OrganoPlate®. The experimental pipeline included automated image acquisition for calcium imaging and immunofluorescence assays.

What You Will Learn

➡️ How to set up an automated microfluidic cell culture observatory optimized for the long-term cell culture maintenance of neurons

➡️ Determine the 3-dimensional microfluidic cell culture variables to implement

➡️ About the vast possibilities of utilizing the OrganoPlate in an automation workflow for personalized medicine

Enter your data in the text field above and click on the signup button to get access to the webinar.

This is a replay of a recorded webinar. Nevertheless, feel free to type your questions in the chat-box. We will answer you by email within 24 hours.

Related Publications

About the Presenter

Dr. Fleming leads the Systems Biochemistry Group, an interdisciplinary research group of mathematical, computational and experimental biologists. The fundamental interest is to develop scalable mathematical and numerical analysis techniques that increase the predictive fidelity of biomolecular network models, by incorporating physicochemical constraints, motivated by optimality principles. Their applied interest is in the aetiopathogenesis and amelioration of Parkinson’s disease. Model predictions are used for optimal experimental design and compared with quantitative experimental data, including that obtained from their microfluidic cell cultures of dopaminergic neurons, derived from normal and Parkinsonian human subjects using stem cell biology techniques.


MIMETAS offers OrganoPlates and develops human tissue and disease models for tomorrow’s medicines, chemicals and food.