An annotated fluorescence image dataset for training nuclear segmentation methods

This dataset contains annotated fluorescent nuclear images of normal or cancer cells from different tissue origins and sample preparation types, and can be used to train machine-learning based nuclear image segmentation algorithms. It consists of 79 expert-annotated fluorescence images of immuno and DAPI stained samples containing 7813 nuclei in total. In addition, the dataset is heterogenous in aspects such as type of preparation, imaging modality, magnification, signal-to-noise ratio and other technical aspects. Relevant parameters, e.g. diagnosis, magnification, signal-to-noise ratio and modality with respect to the type of preparation are provided in the file list. The images are derived from one Schwann cell stroma-rich tissue (from a ganglioneuroblastoma) cryosection (10 images/2773 nuclei), seven neuroblastoma (NB) patients (19 images/931 nuclei), one Wilms patient (1 image/102 nuclei), two NB cell lines (CLB-Ma, STA-NB10) (8 images/1785 nuclei) and a human keratinocyte cell line (HaCaT) (41 images/2222 nuclei).

本数据集包含源自不同组织来源与样本制备类型的正常或癌细胞荧光核标注图像，可用于训练基于机器学习的细胞核图像分割算法。该数据集包含79张经专家标注的免疫染色与DAPI染色样本荧光图像，总计7813个细胞核。此外，该数据集在样本制备类型、成像模态、放大倍数、信噪比等多项技术维度上均具有异质性。相关参数（如诊断信息、放大倍数、信噪比及对应制备类型的成像模态）已在文件列表中提供。本数据集的图像来源包括：1份富含雪旺细胞（Schwann cell）间质的神经节神经母细胞瘤（ganglioneuroblastoma）冷冻切片（10张图像/2773个细胞核）、7名神经母细胞瘤（NB）患者样本（19张图像/931个细胞核）、1名肾母细胞瘤（Wilms）患者样本（1张图像/102个细胞核）、2株神经母细胞瘤细胞系（CLB-Ma、STA-NB10）（8张图像/1785个细胞核）以及人角质形成细胞系HaCaT（41张图像/2222个细胞核）。