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 (27th May)

2) Introduction to QuPath software (28th-29th 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

REQUIREMENTS: 

Students must bring their own laptop, transformer, mouse and must have had previous contact with ImageJ/FIJI at a basic level.

Dates: 27-29 May 2024

Place: IGC

Typology: Hybrid. Plenary lectures online/in person (27th May) + Practical sessions in person (28-29th May)

Application deadline: 12 May 2024

Acceptance notification: 15 May 2024

There is a limit of 20 participants!

For more information, please contact:

Patrícia Rodrigues: parodrigues@igc.gulbenkian.pt