Comparison of QuPath and HALO Platforms for Analysis of the Tumor Microenvironment in Prostate Cancer

QuPath, an open-source digital pathology platform, has gained widespread use for image analysis in biomedical research since its release in 2016. However, its reproducibility and reliability compared with commercial software, such as HALO, require further validation, particularly for multiplex immunofluorescence analysis. In this study, we performed a direct comparison of QuPath and HALO using a multiplex immunofluorescence-stained prostate cancer tissue microarray inclusive of 192 unique cores. We evaluated performance across 3 key analytical modules: immune cell phenotyping, tumor infiltration with immune cells, and nearest neighbor analysis. Furthermore, we integrated QuPath with CytoMap, an open-source spatial analysis tool, to perform unsupervised clustering of immune cell infiltration-a feature not available in HALO. Our results demonstrated high concordance between 2 platforms, with correlation coefficients >0.89 for immune cell density, distance, and pattern of cell organization in tumor microenvironment. A neighborhood analysis using CytoMap was further performed and provided a more detailed spatial analysis of immune cell distribution across different prostate cancer grades. A significant increase of CD103+ T-cell infiltration into tumor microenvironment was observed in prostate cancer. In conclusion, our findings validate QuPath as a robust and reproducible alternative to commercial platforms for fluorescence-based digital pathology. By demonstrating QuPath's capability to perform high-quality quantitative analysis with additional flexibility for integration with external tools, our study underscores its potential for advancing tumor microenvironment research in translational oncology.