QuPath - Open Source Digital Pathology
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QuPath is open source software for whole slide image analysis and digital pathology.

QuPath has been developed as a research tool at Queen's University Belfast. It offers a wide range of functionality, including:

  • extensive tools for annotation and visualization
  • workflows for both IHC and H&E analysis
  • novel algorithms for common tasks, e.g. cell segmentation, Tissue microarray dearraying
  • interactive machine learning, e.g. for cell and texture classification
  • an object-based hierarchical data model, with scripting support
  • extensibility, to add new features or support for different image sources
  • easy integration with other tools, e.g. MATLAB and ImageJ

All in all, QuPath aims to provide researchers with a new set of tools to help with bioimage analysis in a way that is both user- and developer-friendly.

QuPath is free and open source, using GPLv3.

To download a version of QuPath to install, go to the Latest Releases page.

For documentation and more information, see the QuPath Wiki

Copyright 2014-2016 The Queen's University of Belfast, Northern Ireland


Design, implementation & documentation

  • Pete Bankhead

Additional code & testing

  • Jose Fernandez

Group leaders

  • Prof Peter Hamilton
  • Prof Manuel Salto-Tellez

Project funding

The QuPath software has been developed as part of projects that have received funding from:

  • Invest Northern Ireland (RDO0712612)
  • Cancer Research UK Accelerator (C11512/A20256)

Libraries used within QuPath

To see a list of third-party open source libraries used within QuPath (generated automatically using Maven), see THIRD-PARTY.txt.

Full licenses and copyright notices for third-party dependencies are also included for each relevant submodule inside src/main/resources/licenses, and accessible from within within QUPath distributions under Help → License.