Advancing 3D Cell Culture with Scalable, Automated Workflow Solutions

As 3D cell models transition from an emerging research tool to a central component of drug discovery and disease modeling, laboratories are facing a new reality: manual culture methods can no longer keep pace with scientific and operational demands. Variability, contamination risk, limited throughput, and labor-intensive maintenance create bottlenecks that directly affect data quality and project timelines.

This comprehensive eBook—Automated Cell Culture Systems: A Buyer’s Guide—offers a detailed, scientifically grounded roadmap for evaluating and implementing automated solutions that support reproducible, high-fidelity 3D biology at scale.

What You’ll Take Away

• How 3D models improve physiological relevance and predictive accuracy
• Where manual techniques create risk, waste, and irreproducibility
• How automation strengthens consistency, scalability, and data integrity
• What criteria matter most when selecting automated systems
• How leading automation platforms integrate imaging, feeding, passaging, and analytics
• Why automation is becoming foundational to translational and precision research

Get a decision framework for evaluating automated platforms

You’ll find a clear, practical assessment checklist covering workflow compatibility, scalability, space requirements, data integration, validation, training, cost, and regulatory alignment.

See next-generation automation in action

A featured profile of the CellXpress.ai® Automated Cell Culture System illustrates what intelligent, image-driven, AI-enhanced automation looks like—from turn-key organoid protocols to deep-learning–based monitoring and real-time decision support.

Download the eBook to equip your lab for the next era of 3D cell model innovation