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; Liam J Murray; Helen G Coleman; Jacqueline A James; Manuel Salto-Tellez; Peter W Hamilton

doi:10.1038/s41598-017-17204-5

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, Liam J Murray, Helen G Coleman, Jacqueline A James, Manuel Salto-Tellez, Peter W Hamilton

Research output: Contribution to journal › Article › peer-review

Abstract / Description of output

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.

Original language	English
Article number	16878
Number of pages	7
Journal	Scientific Reports
Volume	7
DOIs	https://doi.org/10.1038/s41598-017-17204-5
Publication status	Published - 4 Dec 2017

Keywords / Materials (for Non-textual outputs)

Biomarkers
Cancer imaging
Colon cancer
Image processing
Software

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10.1038/s41598-017-17204-5

s41598-017-17204-5
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Peter Bankhead
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title = "QuPath: Open source software for digital pathology image analysis",

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.",

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year = "2017",

month = dec,

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doi = "10.1038/s41598-017-17204-5",

language = "English",

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T2 - Open source software for digital pathology image analysis

AU - Bankhead, Peter

AU - Loughrey, Maurice B

AU - Fernández, José A

AU - Dombrowski, Yvonne

AU - McArt, Darragh G

AU - Dunne, Philip D

AU - McQuaid, Stephen

AU - Gray, Ronan T

AU - Murray, Liam J

AU - Coleman, Helen G

AU - James, Jacqueline A

AU - Salto-Tellez, Manuel

AU - Hamilton, Peter W

PY - 2017/12/4

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N2 - 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.

AB - 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.

KW - Biomarkers

KW - Cancer imaging

KW - Colon cancer

KW - Image processing

KW - Software

U2 - 10.1038/s41598-017-17204-5

DO - 10.1038/s41598-017-17204-5

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VL - 7

JO - Scientific Reports

JF - Scientific Reports

M1 - 16878

ER -

QuPath: Open source software for digital pathology image analysis

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Keywords / Materials (for Non-textual outputs)

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Peter Bankhead

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