Ground-truth segmentation data used for training Cellpose

This dataset primarily contains images of cells from a large variety of fluorescent markers and image modalities, as well as ground truth segmentations. The dataset also contains a few images of non-cell biological structures and other natural images that can be naturally segmented into repetitive structures. In some cases the nucleus is labelled in a secondary blue channel. <br>The dataset was used to train the Cellpose segmentation algorithm, and can be accessed at https://www.cellpose.org/dataset. <br><br>For a complete description of the dataset, see the related paper: Cellpose: a generalist algorithm for cellular segmentationCarsen Stringer, Tim Wang, Michalis Michaelos, Marius PachitariubioRxiv 2020.02.02.931238; doi: https://doi.org/10.1101/2020.02.02.931238

本数据集主要涵盖源自多种荧光标记物与成像模态的细胞图像，以及真值分割标注（ground truth segmentations）。本数据集同时包含少量非细胞生物结构图像，以及可被自然分割为重复结构的其他自然图像。部分场景中，细胞核会通过第二蓝通道进行标注。
本数据集曾用于训练Cellpose分割算法，可通过链接https://www.cellpose.org/dataset获取。
如需了解该数据集的完整说明，请参阅相关论文：《Cellpose：一种通用细胞分割算法》(Cellpose: a generalist algorithm for cellular segmentation)，作者为Carsen Stringer、Tim Wang、Michalis Michaelos与Marius Pachitariu，发表于bioRxiv，预印本编号：2020.02.02.931238；DOI：https://doi.org/10.1101/2020.02.02.931238