|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|
|Date Published||2017 12 04|
|Keywords||Algorithms, Biomarkers, Tumor, Colonic Neoplasms, Humans, Image Interpretation, Computer-Assisted, Kaplan-Meier Estimate, Programmed Cell Death 1 Ligand 2 Protein, User-Computer Interface|
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.
|Alternate Journal||Sci Rep|
|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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