Data for: Bioimage analysis for multiplexed FUCCI acquisitions powered by deep learning

Reproduction data for DeepFUCCI paper. What to find here: Training data: annotated dataset of classified segmentation masks, following the StarDist convention Custom-trained StarDist models: three pure segmentation and three classsification + segmentation models Custom-trained InstanSeg models: three channel-specific and one channel-invariant model Custom-trained Cellpose-SAM models: one fine-tuned model, one classification model trained on all channels and one classification model trained only on the tubulin channel Video figures Source data: the data and scripts used for the individual figures (if applicable) fucciphase code used for paperDeepFUCCI论文的复现数据集。 本数据集包含以下内容： 训练数据：遵循StarDist（StarDist）规范的经分类标注的分割掩码数据集。 定制训练的StarDist模型：3个纯分割模型与3个分类-分割联合模型。 定制训练的InstanSeg（InstanSeg）模型：3个通道特异性模型与1个通道不变性模型。 定制训练的Cellpose-SAM模型：1个微调模型、1个基于全通道训练的分类模型，以及1个仅针对微管蛋白通道训练的分类模型。 视频插图。 源数据：用于生成各插图的数据与配套脚本（如适用）。 本论文所用的fucciphase代码。