%0 Journal Article %J Sci Rep %D 2017 %T QuPath: Open source software for digital pathology image analysis. %A Bankhead, Peter %A Loughrey, Maurice B %A Fernández, José A %A Dombrowski, Yvonne %A McArt, Darragh G %A Dunne, Philip D %A McQuaid, Stephen %A Gray, Ronan T %A Murray, Liam J %A Coleman, Helen G %A James, Jacqueline A %A Salto-Tellez, Manuel %A Hamilton, Peter W %K Algorithms %K Biomarkers, Tumor %K Colonic Neoplasms %K Humans %K Image Interpretation, Computer-Assisted %K Kaplan-Meier Estimate %K Programmed Cell Death 1 Ligand 2 Protein %K User-Computer Interface %X

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.

%B Sci Rep %V 7 %P 16878 %8 2017 12 04 %G eng %N 1 %R 10.1038/s41598-017-17204-5