Close-up illustration of clustered, irregularly shaped 3D cell structures resembling organoids, displayed in a blue-toned background.
Webinars

Automating the counting of 3D cell cultures

Machine learning-powered image analysis makes it possible to automatically and reliably quantify complex 3D cell structures.

Organoids, spheroids, and other 3D cell cultures have become essential tools in disease modeling and therapeutic discovery. However, quantifying these complex, irregular structures is often unreliable with traditional cell counting methods, making quality control and experimental reproducibility hard to achieve. In this webinar, Grace Emin will discuss an automated cell counting approach powered by machine learning-based image analysis that enables accurate and efficient quantification of 3D cell cultures. 

Topics to be covered:

  • Common challenges in counting 3D cell cultures
  • An automated approach to accurately counting organoids 
  • Principles of machine learning-based image analysis
  • A simple workflow for automating the counting process



Tuesday, August 26th, 2025 | 11:00 AM - 12:00 PM Eastern Time
This webinar will be available to view live and on demand.


Speaker

Grace Emin

Grace Emin
Application Scientist
DeNovix

Sponsored by

  • DeNovix

Top Image Credit:

iStock: spawns