QuPath: Open source software for digital pathology image analysis
QuPath: программное обеспечение с открытым исходным кодом для анализа изображений в цифровой патологии
2017-11-28
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QuPathbatch processingbiomarker evaluationdigital pathologywhole slide image analysis
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Abstract (AI)
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.
Key Findings
1
Its extensible architecture allows researchers to develop and share new algorithms for biomedical image analysis.
2
QuPath is introduced as a user-friendly, extensible, open-source platform for digital pathology and whole-slide image analysis.
3
QuPath supports batch processing and scripting, enabling scalable and automated image-analysis workflows.
4
The flexible platform is applicable beyond digital pathology across a broad range of biomedical research applications.
5
The software includes tumor identification and high-throughput biomarker evaluation tools for analyzing complex tissue images.
Research Object
QuPath open-source bioimage analysis software for digital pathology and whole-slide image analysis
Research Subject
user-friendly, extensible, open-source image analysis for tumor identification, high-throughput biomarker evaluation, and complex tissue image analysis
Publication Details
Publication Date
2017-11-28
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