Pathology & open-source tools
QuPath consulting and training
Get more out of QuPath: training for your team, custom scripts and reliable, reproducible workflows.
What QuPath measures
QuPath is the most widely used open-source software for digital pathology and bioimage analysis. It handles brightfield and multiplex fluorescence whole-slide images, cell detection, machine-learning classification and scripting, and it scales from single images to large projects.
Strengths
- Free and open source, with no licence costs
- Handles brightfield, multiplex IF, IMC and more
- Deep learning cell detection with StarDist and other extensions
- Scriptable for fully reproducible batch analysis
How we can help with QuPath data
Training
One-on-one sessions and team workshops, from basics to advanced multiplex workflows.
Custom scripts
Groovy scripts for batch processing, export and automation.
Classifiers
Pixel and object classifiers built and validated with your team.
Multiplex phenotyping
Cell detection and phenotyping workflows for multiplex IF and IMC.
Troubleshooting
Fixing slow, inconsistent or unreliable analyses.
Downstream analysis
Python or R pipelines for statistics and figures from QuPath exports.
Related technologies
Working with QuPath data?
Tell us about your samples, panel and question. The first consultation is free.