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QuPath: Open source software for digital pathology image analysis

delete2017-12-04
delete4.8K
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OA
AI
P
Peter Bankhead
M
Maurice B. Loughrey
J
José A. Fernández
Y
Yvonne Dombrowski
D
Darragh G. McArt
P
Philip D. Dunne
S
Stephen McQuaid
R
Ronan T. Gray
L
Liam Murray
H
Helen G. Coleman
J
Jacqueline A. James
M
Manuel Salto‐Tellez *
P
Peter W. Hamilton *
DOI:10.1038/s41598-017-17204-5delete
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Abstract

Abstract

En 中文
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.
Keywords:
PATTERNS
PLATFORM
CANCER
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Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

Scientific Reports cover
Scientific Reports
IF:
3.9
Papers:
27.4W
Citations:
83.5W

Organization

Q
Queen's University Belfast
Scholars:
1.6W
Papers: 1.7W
Citations: 2.5W