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SCHOLARLY PUBLICATION ✓ Open Access

QuPath: Open source software for digital pathology image analysis

Peter Bankhead, Maurice Bernard Loughrey, José A. Fernández, Yvonne Dombrowski, Darragh G. McArt, Philip D. Dunne, Stephen McQuaid, Ronan T. Gray, Liam Murray, Helen G. Coleman, Jacqueline A. James, Manuel Salto‐Tellez, Peter W. Hamilton

📖 bioRxiv (Cold Spring Harbor Laboratory) 📅 2017-01-12 🔗 DOI: 10.1101/099796

📄 Abstract

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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