Morphometric Analyses of Uveal Melanomas with QuPath

Extraction of nuclear features by computational method from high resolution whole-slide digital scans of histologic slides has been shown to be a valuable tool. Our study utilized QuPath, a free, open-source software and program for whole-slide image analysis, which allows cell detection and cell type classification (such as tumor cells, stromal cells, necrotic or apoptotic cells, and immune cells). Additionally, QuPath enables analysis of large numbers of tumor cells and generates detailed cell and nuclear features (nuclear area, nuclear diameter, and cell circularity). In our study, morphometric analyses have been performed on 80 uveal melanomas from Tumor Genome Cancer Atlas (TGCA) which have available virtual slides, clinical and genomic information.通过计算方法从组织学切片的高分辨率全玻片数字扫描图像中提取细胞核特征，已被证实为一种极具应用价值的分析手段。本研究采用了QuPath（一款免费开源的全玻片图像分析软件），该工具可实现细胞检测与细胞类型分类，涵盖肿瘤细胞、基质细胞、坏死或凋亡细胞以及免疫细胞等类别。此外，QuPath支持对大量肿瘤细胞进行分析，并可生成详尽的细胞与细胞核特征数据，包括细胞核面积、细胞核直径以及细胞圆度等指标。本研究针对来自癌症基因组图谱（Tumor Genome Cancer Atlas, TGCA）的80例带有可用虚拟切片、临床及基因组信息的葡萄膜黑色素瘤样本开展了形态计量分析。