QuPath: Open source software for digital pathology image analysis
Peter Bankheada, Maurice Bernard Loughreya b, José A. Fernándeza, Yvonne Dombrowskic, Darragh G. McArta, Philip D. Dunnea, Stephen McQuaida b, Ronan T. Grayd, Liam Murrayd, Helen G. Colemand, Jacqueline A. Jamesa b, Manuel Salto‐Tellezb e f✉, Peter W. Hamiltona g✉
- aNorthern Ireland Molecular Pathology Laboratory, Centre for Cancer Research and Cell Biology, Queen's University Belfast, Belfast, Northern Ireland, UK
- bTissue Pathology, Belfast Health and Social Care Trust, Belfast, Northern Ireland, Northern Ireland, UK
- cCentre for Experimental Medicine, Queen's University Belfast, Belfast, Northern Ireland, UK
- dCancer Epidemiology and Health Services Research Group, Centre for Public Health, Queen's University Belfast, Belfast, Northern Ireland, UK
- eNorthern Ireland Molecular Pathology Laboratory, Centre for Cancer Research and Cell Biology, Queen's University Belfast, Belfast, Northern Ireland, UK. m.salto-tellez@qub.ac.uk
- fTissue Pathology, Belfast Health and Social Care Trust, Belfast, Northern Ireland, Northern Ireland, UK. m.salto-tellez@qub.ac.uk
- gNorthern Ireland Molecular Pathology Laboratory, Centre for Cancer Research and Cell Biology, Queen's University Belfast, Belfast, Northern Ireland, UK. p.hamilton@qub.ac.uk
- ✉Corresponding author
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Abstract
QuPath is new bioimage analysis software designed to meet the growing need for a user-friendly, extensible, open-source solution for digital pathology and whole slide image analysis. In addition to offering a comprehensive panel of tumor identification and high-throughput biomarker evaluation tools, QuPath provides researchers with powerful batch-processing and scripting functionality, and an extensible platform with which to develop and share new algorithms to analyze complex tissue images. Furthermore, QuPath's flexible design makes it suitable for a wide range of additional image analysis applications across biomedical research.

