From Bottlenecks to Breakthroughs: Automating Cell Culture for Scalable, Reliable Research

Researchers are under pressure to scale complex cell culture models—like iPSCs and 3D organoids—for high-throughput drug discovery. Yet manual workflows remain a major bottleneck: they’re time-consuming, error-prone, and difficult to standardize. Reproducibility suffers, throughput is limited, and scientists are often tied to repetitive tasks that pull focus from high-value research.

This eBook offers a solution: a deep dive into how AI-powered automation can transform the entire cell culture journey. From seeding and maintenance to monitoring and passaging, it shows how labs can achieve hands-off, scalable, and reproducible workflows. With built-in machine learning, real-time image analysis, and intelligent decision-making, researchers can reduce variability, increase throughput, and accelerate their path to discovery. Whether you're working with 2D monolayers or complex 3D organoids, this guide helps you move from bottlenecks to breakthroughs.

In this eBook you’ll learn:

• How to automate repetitive cell culture tasks to save time and reduce manual errors.
• How AI-powered monitoring and real-time decision-making improves consistency and efficiency.
• How to scale complex 2D and 3D cell models with reproducible, hands-off workflows.