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QuPath: Open source software for digital pathology image analysis

Scientific Reports · 2017 · Vol. 7(1) · pp. 16878–16878

Peter Bankhead✉(Queen's University Belfast)Maurice B. Loughrey(Queen's University Belfast)José A. Fernández(Queen's University Belfast)Yvonne Dombrowski(Queen's University Belfast)Darragh G. McArt(Queen's University Belfast)Philip D. Dunne(Queen's University Belfast)Stephen McQuaid(Queen's University Belfast)Ronan T. Gray(Queen's University Belfast)Liam Murray(Queen's University Belfast)Helen G. Coleman(Queen's University Belfast)Jacqueline A. James(Queen's University Belfast)Manuel Salto‐Tellez(Queen's University Belfast)Peter W. Hamilton(Queen's University Belfast)

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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.

Cell Image Analysis Techniques AI in cancer detection Radiomics and Machine Learning in Medical ImagingComputer scienceScripting languageSoftwareDigital pathologyExtensibilityOpen sourceImage processingIdentification (biology)Digital imageDigital image analysis

MeSH terms

AlgorithmsColonic NeoplasmsHumansImage Interpretation, Computer-AssistedBiomarkers, TumorUser-Computer InterfaceKaplan-Meier EstimateProgrammed Cell Death 1 Ligand 2 Protein