3D Organoid Image Analysis

A video demonstration of ZEISS arivis Pro where we using machine learning to identify lumen and epithelial layers in organoids to study Wnt inhibition on organoid maturation. Once the analysis protocol is defined, it can be applied via parallelized processing in ZEISS arivis Hub for high content analysis.

Key Learnings:

• How to study the role of Wnt signaling in organoid formation.
• How to use machine learning to segment outer organoid cell layers.
• How to perform nucleus and cell body segmentation.
  

The multi-dimensional image analysis platform from ZEISS. Its flexible concept allows any researcher to put together image analysis workflows to answer creative questions for your research. Train AI models on the cloud (or locally) for image segmentation, set up end-to-end automated pipelines and scale up your analysis and store your data in one place.

• ZEISS arivis Cloud - making AI model Training for Image Analysis accecible to all, no coding.
• ZEISS arivis Pro - flexible Tools and Features to set up advanced end-to-end-Pipelines to answer your Research questions.
• ZEISS arivis Hub - scale up your Image Analysis with Batch parallelized processing.