Overview

This course intends to give a brief introduction (Theoretical & Practical) to the use of QuPath (free open-source software for "Quantitative Pathology") for analysis of tile & stitched large image datasets, such as those obtained at slide scanners from the Histopathology and Bioimaging Units.

The course will include:

1) Introduction to image analysis basic concepts (21st May)

2) Introduction to QuPath software (22nd-23rd May)

3) Data visualization and representation 

4) Image segmentation

5) Classification with machine learning

6) Brief introduction to deep learning with QuPath extensions and automatization with groovy workflows

7) Exercises

Place: CNC-UC, polo I

Typology: Hybrid. Plenary lectures (21st May) + Practical sessions in person + online tutorials (22nd-23rd May)

Number of participants: 20

Requirements for participants:

Students must bring their own laptop, transformer, mouse and must have had previous contact with ImageJ/FIJI at a basic level.
Course Material (Images + Models + Extensions) - here
Install QuPath 
 

Cost: Free

Deadlines:

Application deadline - 11 May 2025
Notification of acceptance: 12 May 2025
 

Registration here.