QuPath: Open source software for digital pathology image analysis

Peter Bankhead; Maurice B. Loughrey; José A. Fernández; Yvonne Dombrowski; Darragh G. McArt; Philip D. Dunne; Stephen McQuaid; Ronan T. Gray · Scientific Reports · 2017

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Author / responsible party

Peter Bankhead; Maurice B. Loughrey; José A. Fernández; Yvonne Dombrowski; Darragh G. McArt; Philip D. Dunne; Stephen McQuaid; Ronan T. Gray

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Scientific Reports

Year

2017

Language

English

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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.

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APA 7

Bankhead, P, Loughrey, M. B, Fernández, J. A, Dombrowski, Y, McArt, D. G, Dunne, P. D, McQuaid, S, & Gray, R. T. (2017). QuPath: Open source software for digital pathology image analysis. https://doi.org/10.1038/s41598-017-17204-5

MLA

Bankhead, Peter, et al. "QuPath: Open source software for digital pathology image analysis." 2017. https://doi.org/10.1038/s41598-017-17204-5.

Chicago

Bankhead, Peter, Maurice B. Loughrey, José A. Fernández, Yvonne Dombrowski, Darragh G. McArt, Philip D. Dunne, Stephen McQuaid, and Ronan T. Gray. 2017. "QuPath: Open source software for digital pathology image analysis.". https://doi.org/10.1038/s41598-017-17204-5.

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Bankhead, P. et al. 2017, QuPath: Open source software for digital pathology image analysis, Scientific Reports, available at: https://doi.org/10.1038/s41598-017-17204-5 [Accessed 5 Aug. 2026].

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Title: QuPath: Open source software for digital pathology image analysis

Author / contributors: Peter Bankhead; Maurice B. Loughrey; José A. Fernández; Yvonne Dombrowski; Darragh G. McArt; Philip D. Dunne; Stephen McQuaid; Ronan T. Gray

Publisher: Scientific Reports

Publication year: 2017

Language: English

Subjects

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Computer science; Scripting language; Software; Digital pathology; Extensibility; Open source; Image processing; Identification (biology); Digital image; Digital image analysis; Open source software; Digital image processing