What it takes to automate high-content imaging at scale

Live Webinar | March 25, 2026

High‑content imaging is often the bottleneck in laboratory automation.
As laboratories move toward fully automated, high‑throughput workflows, integrating advanced imaging into robotic systems introduces new challenges—around reliability, throughput, software compatibility, and long‑term scalability.
In this expert‑led webinar, discover what it really takes to automate high‑content imaging at scale, based on real‑world experience from an academic automation facility.

Why Attend?

This session goes beyond theory to explore the practical realities of system integration, drawing on a detailed case study from ETH Zurich’s Laboratory Automation Facility.
You will gain insight into:

  • The key design trade‑offs when integrating high‑content imagers into automated WorkCells
  • Common integration challenges that can limit throughput or flexibility
  • How modular system design supports reliability, scalability, and evolving workflows
  • The role of close collaboration between users and vendors in overcoming technical constraints
  • A proven application combining confocal imaging and automated target search for high‑throughput screening of 3D tumour spheroids in 384‑well plates

Featured Case Study

The webinar highlights the design and deployment of a modular robotic WorkCell integrating:

  • Advanced imaging hardware, including the Yokogawa CellVoyager CQ3000
  • Robotic sample handling
  • Scheduling and control software

Together, these components form a single operational system capable of supporting complex, automated biological workflows without sacrificing imaging performance or experimental flexibility.

Speaker

Dr. Sant Kumar   Dr. Kumar specializes in laboratory automation and supports the development and operation of complex automated experimental workflows, bringing hands‑on experience with real‑world system integration       challenges.

 

 

 

 

 

 

 

 

 

 

Dr. Sant Kumar

Automation Scientist, Laboratory Automation Facility (LAF)
Department of Biosystems Science and Engineering (D‑BSSE), ETH Zurich

Register now!

 

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