QuPath

QuPath performs quantitative analysis of whole-slide images (WSI) and microscopy data to enable tumor identification, high-throughput biomarker evaluation, and reproducible digital pathology workflows.

Key Features:

• Whole-slide image (WSI) analysis: Supports analysis of whole-slide images for tissue-level and cellular-level investigations.
• Extensible algorithms: Enables development and sharing of new algorithms to tailor analyses and integrate custom methods.
• Batch processing and scripting: Provides batch-processing capabilities and scripting functionality for efficient analysis of large datasets.
• Tumor identification and biomarker evaluation: Includes tools for tumor detection and quantitative evaluation of biomarkers relevant to cancer research.
• High-throughput analysis: Facilitates high-throughput processing and quantification of biomarker data across many samples.
• Objective and reproducible workflows: Supports objective measurements and reproducible analyses for digital pathology studies.

Scientific Applications:

• Digital pathology: Analysis of WSIs and tissue images for diagnostic and research-grade pathology assessments.
• Cancer research: Tumor identification and biomarker quantification to support studies of tumor biology and therapeutic evaluation.
• Biomedical image analysis: Quantitative analysis of complex tissue images in diverse biomedical research projects requiring image-based measurements.

Methodology:

Analysis uses extensible algorithms, batch processing, and scripting to process whole-slide images (WSI) for tumor identification and biomarker quantification.