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QuPath: Open source software for digital pathology image analysis.

Peter Bankhead1, Maurice B Loughrey1,2, José A Fernández1

  • 1Northern Ireland Molecular Pathology Laboratory, Centre for Cancer Research and Cell Biology, Queen's University Belfast, Belfast, Northern Ireland, UK.

Scientific Reports
|December 6, 2017
PubMed
Summary
This summary is machine-generated.

QuPath is a new, open-source bioimage analysis software for digital pathology and whole slide imaging. It offers user-friendly tools for tumor identification and biomarker evaluation, supporting algorithm development for complex tissue image analysis.

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Area of Science:

  • Digital pathology
  • Bioimage analysis
  • Computational biology

Background:

  • Increasing demand for user-friendly, open-source software in digital pathology.
  • Need for advanced tools in whole slide image analysis.
  • Growing complexity of tissue image analysis in biomedical research.

Purpose of the Study:

  • Introduce QuPath as a novel bioimage analysis solution.
  • Address the need for extensible, open-source software in digital pathology.
  • Provide tools for tumor identification and biomarker evaluation.

Main Methods:

  • Development of a user-friendly interface for image analysis.
  • Implementation of batch-processing and scripting functionalities.
  • Creation of an extensible platform for algorithm development.

Main Results:

  • QuPath offers a comprehensive suite of tools for tumor identification and biomarker evaluation.
  • The software supports high-throughput analysis and custom algorithm development.
  • QuPath is suitable for diverse biomedical image analysis applications.

Conclusions:

  • QuPath provides a versatile and powerful solution for digital pathology and whole slide image analysis.
  • Its open-source and extensible nature facilitates collaboration and innovation in bioimage analysis.
  • The software supports efficient analysis of complex biological images across various research fields.