• Digital Pathological Images - Pedro Faísca
• What is an image? - Anna Pezzarossa

Coffee Break

• Pyramidal and large Images, RGB, colormaps, stain vectors - Gaby Martins
• Concepts of threshold, ML and DL in image segmentation - Mariana Ferreira

Basic Concepts: 

• Image properties
• Create a project
• Questions

Tools - Annotations:

• Types of ROIs available and how to use them
• Hierarchy
• Properties and classes
• Calculating features
• Exercises and Questions

Coffee Break

Tools - Detections:

• Cell detection
• Properties, Measurements and Tips
• Positive cell detection
• Exercises and Questions

Lunch Break

Stain Vectors:

• Setting a stain vector
• Estimating a stain vector
• Questions

Pixel Classification:

• Tissue detection
• Create and measure objects
• Exercises and Questions

Coffee Break

Object Classification:

• Training an object classifier (machine learning)
• Questions

Density Maps:

• Creating a density map
• Finding hotspots
• Creating annotations based on density
• Questions

Multiplexed analysis:

• Visualization of multiple channels
• Cell detection
• Creating a cell classifier
• Heatmaps
• Exercises and Questions

Object Classification:

• Training an object classifier (machine learning)
• Training images
• Composite classifiers
• Improving training
• Questions

Coffee Break

Pixel Classification:

• Training a pixel classifier (machine learning)
• Creating objects based on classifier
• Questions 

Introduction to groovy scripting:

• Automated scripts
• Extensions - Stardist Extension (deep learning)
• Questions
• Wrap-Up