QuPath offers several key features that make it invaluable for cancer research:
Cell Detection: Automatic detection and classification of cells within tissue sections. Tissue Segmentation: Precise delineation of different tissue regions, such as tumor and stroma. Quantitative Analysis: Measurement of cell counts, marker expression levels, and spatial distribution. Machine Learning: Integration with machine learning algorithms for more accurate and robust analysis. Batch Processing: Efficient processing of large sets of images, making large-scale studies feasible.
