High-resolution phase-contrast images, fluorescent images, and ground truth masks used to establish deep learning-based segmentation models for subcellular organelles in phase-contrast images

The 'Dataset_for_Training_and_Validation_of_DL_Models' folder comprises high-resolution phase-contrast images, fluorescent images, ground truth masks, and predicted masks used to develop deep learning-based segmentation models for mitochondria or lipid droplets in phase-contrast images. The 'Data_for_Figure_Preparation' folder contains high-resolution phase-contrast images, fluorescent images, ground truth masks, predicted masks from each processing step, and analyzed results for validating the accuracy of the established segmentation models.

‘Dataset_for_Training_and_Validation_of_DL_Models’文件夹包含用于开发基于深度学习的分割模型，该模型旨在对相位对比图像中的线粒体或脂滴进行分割的高分辨率相位对比图像、荧光图像、真实标签掩码以及预测掩码。‘Data_for_Figure_Preparation’文件夹则汇集了用于验证所建立分割模型准确性的高分辨率相位对比图像、荧光图像、真实标签掩码、每一步处理阶段的预测掩码以及分析结果。