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.