Advancing 3D biology – Overcoming barriers to scale, reproducibility and time-to-insight

Wednesday, October 28 at 10:00 GMT | 11:00 CET | 06:00 EDT | 03:00 PDT

Three-dimensional cell models, including organoids, are increasingly being adopted in drug discovery and disease research due to their ability to better replicate human biology than traditional 2D cultures. However, many researchers face challenges when moving from proof-of-concept studies to routine laboratory implementation.

Scaling production of 3D models, maintaining reproducibility, managing complex workflows, and generating meaningful biological insights can all limit the broader adoption of these powerful research tools.

In this SelectScience® webinar, experts from Molecular Devices® will discuss practical strategies for overcoming these challenges. Attendees will learn how advances in automation and AI-powered cell culture technologies can help improve consistency and scalability, while optimized characterization approaches can accelerate the generation of robust biological data and actionable scientific insights. The session will highlight practical approaches for building more efficient, reproducible, and insight-driven 3D biology workflows.

Certificate of attendance

If you attend the live webinar, you will automatically receive a certificate of attendance, including a learning outcomes summary, for continuing education purposes.

If you view the on-demand webinar, you can request a certificate of attendance by emailing editor@selectscience.net.

Webinar details

Cost: Free to attend

Location: Online

Duration: 60 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

Dr. Emma Robertson
Dr. Emma Robertson
Speaker
Cellular Automation Manager, Molecular Devices
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Who should attend?

This event is perfect for:

  • Scientists and researchers working in pharmaceutical and biotechnology organizations.
  • Drug discovery and translational research teams exploring or implementing organoids and other advanced 3D cell models.
  • Cell biology, disease modeling, and assay development scientists.
  • High-content screening and cellular analysis specialists.
  • Laboratory managers seeking to improve the scalability, reproducibility, and efficiency of 3D biology workflows.

CellXpress.ai Automated Cell Culture System

Molecular Devices®

The CellXpress.ai™ Automated Cell Culture System is an AI-driven cell culture innovation hub that gives your team total control over demanding cell culture feeding and passaging schedules—eliminating time in the lab while maintaining a 24/7 schedule for growing and scaling multiple stem cell lines, spheroids, or organoids.

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3D Ready Organoid Expansion Service

Molecular Devices®

Unique service that enables you to expand your own organoid lines to a scale large enough to suit your individual requirements. Generate more than six million assay-ready, reproducible organoid models to support your compound screening, cell model creation, or other applications. 

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What will this webinar cover?

  • How to scale production of organoids and other 3D cell models to support robust experimentation and screening.
  • Strategies for improving reproducibility and consistency through automation, standardized workflows, and AI-assisted cell culture approaches.
  • Approaches for reducing workflow complexity and manual laboratory effort when implementing and expanding 3D biology programs.
  • How complementary characterization approaches, including imaging and microplate reader-based assays, can accelerate the generation of meaningful biological insights from 3D models.

Join the webinar to get answers to these questions:

  • How can organoid and 3D cell model production be scaled for screening?
  • How can automation improve reproducibility and consistency?
  • How can AI-assisted cell culture support robust 3D biology workflows?
  • How can workflow complexity and manual laboratory effort be reduced?
  • How can imaging and microplate reader assays generate meaningful biological insights?

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