Title | QuPath: Open source software for digital pathology image analysis. |
Publication Type | Journal Article |
Year of Publication | 2017 |
Authors | Bankhead, P, Loughrey, MB, Fernández, JA, Dombrowski, Y, McArt, DG, Dunne, PD, McQuaid, S, Gray, RT, Murray, LJ, Coleman, HG, James, JA, Salto-Tellez, M, Hamilton, PW |
Journal | Sci Rep |
Volume | 7 |
Issue | 1 |
Pagination | 16878 |
Date Published | 2017 12 04 |
ISSN | 2045-2322 |
Keywords | Algorithms, Biomarkers, Tumor, Colonic Neoplasms, Humans, Image Interpretation, Computer-Assisted, Kaplan-Meier Estimate, Programmed Cell Death 1 Ligand 2 Protein, User-Computer Interface |
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. |
DOI | 10.1038/s41598-017-17204-5 |
Alternate Journal | Sci Rep |
PubMed ID | 29203879 |
PubMed Central ID | PMC5715110 |
Grant List | C11512/A20256 / / Cancer Research UK / United Kingdom C37703/A15333 / / Cancer Research UK / United Kingdom C50104/A17592 / / Cancer Research UK / United Kingdom |
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