@article {1300,
	title = {QuPath: Open source software for digital pathology image analysis.},
	journal = {Sci Rep},
	volume = {7},
	year = {2017},
	month = {2017 12 04},
	pages = {16878},
	abstract = {<p>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{\textquoteright}s flexible design makes it suitable for a wide range of additional image analysis applications across biomedical research.</p>},
	keywords = {Algorithms, Biomarkers, Tumor, Colonic Neoplasms, Humans, Image Interpretation, Computer-Assisted, Kaplan-Meier Estimate, Programmed Cell Death 1 Ligand 2 Protein, User-Computer Interface},
	issn = {2045-2322},
	doi = {10.1038/s41598-017-17204-5},
	author = {Bankhead, Peter and Loughrey, Maurice B and Fern{\'a}ndez, Jos{\'e} A and Dombrowski, Yvonne and McArt, Darragh G and Dunne, Philip D and McQuaid, Stephen and Gray, Ronan T and Murray, Liam J and Coleman, Helen G and James, Jacqueline A and Salto-Tellez, Manuel and Hamilton, Peter W}
}
