In this workshop, Aivia experts covered how you can overcome challenges in microscopy image segmentation and quantification in cancer biology data sets to:

• Conduct 2D and 3D cell analysis on a single platform
• Use machine learning to distinguish normal cells from cancerous cells
• Detect, analyze and understand the motion of cells, organelles, and particles

The ability to examine complex neural processes relies on the accurate reconstruction of neuronal networks at scale. In this session, the Aivia team showcased how to:

• Automatically trace neurons and detect spines in large and complex data sets in minutes
• Segment your 3D EM neuron images using AI models
• Enhance neuron images with AI-powered tools

Cellular interactions are challenging to observe without easy to deploy object detection and relationship measurements. In this workshop, the Aivia team highlighted an automated workflow to:

• Detect whole cells, their nuclei, and up to five compartments
• Ways to expand this workflow to larger scales such as tissue and organ level analysis
• Identify interactions between cells and organelles

In this workshop, the Aivia team demonstrated how AI can help you extend live cell imaging in embryo development to:

• Examine critical developmental events in high-definition with minimal sample damage
• Sidestep light exposure and resolution limits to prolong time lapse imaging
• Deploy smart segmentation to easily detect objects