scCamAge Datasets

This repository contains all the raw image or quantification datasets used for building or validating scCamAge, a transfer learning-based AI method for chronological age prediction of single yeast cells using phase contrast microscopic images. Folder Descriptions scCamAge Predictor Module: Main_camAge.tar.zip This folder contains refined phase contrast images of yeast single cells at ten critical time points, ranging from day 2 (young) to day 20 (aged) of chronological aging. Molecular Dyes-Based: Dyes.zip This folder is divided into three subfolders containing refined phase contrast images for TMRE, H2DCFDA, and FM™ 4-64FX. These images cover ten critical time points of chronologically aging yeast cells from day 2 (young) to day 20 (aged). Treatment-Based Method: Drugs.zip This folder includes three subfolders with refined phase contrast images of yeast cells treated with etoposide, azacytidine, and MG132 at different concentrations. Pro-Longevity Drugs and Knockouts: KOs.zip This folder contains refined micrographs of yeast cells treated with pro-longevity drugs (metformin, spermidine, and spermine) and genetic knockouts (pro or anti-longevity) at ten critical time points from day 2 (young) to day 20 (aged). Human Datasets: Human.zip This folder includes refined micrographs of human datasets, specifically the Camptothecin (CPT)-induced human fibroblast senescence dataset and replicative senescence dataset taken from Strum et al. (2022; DOI: 10.1038/s41597-022-01852-y). Trained Models: Model.zip This folder contains trained models for CamAge, molecular dyes-based methods, and treatment-based methods. Raw and Normalized Matrix: Raw_and_Normalized Matrix_RNA seq_And_Raw_metabolomics_data.xlsx This Excel file includes raw and normalized matrices for RNA sequencing and raw matrices for metabolomics analysis. Segmentation Weights: yeast_segmentation-master.zip This folder contains weights and scripts for yeast cell segmentation. 9. Live vs Dead Yeast Cells: Live_vs_Dead.zip This folder contains refined phase-contrast and fluorescent images of single yeast cells captured at ten critical time points, spanning from Day 2 (young) to Day 20 (aged) of chronological aging. Binary classification model for distinguishing live vs. dead cells using the images. Morphometric features extracted from the micrographs to support analysis. 10. Stress_dataset: stress.zip This folder contains refined phase-contrast images of individual yeast cells subjected to various stress conditions. These images have been curated and used as a test set.本仓库包含用于构建或验证scCamAge的全部原始图像与量化数据集。scCamAge是一种基于迁移学习的AI方法，可通过相差显微图像对单个酵母细胞的时序年龄进行预测。 文件夹说明： scCamAge预测器模块：Main_camAge.tar.zip 本文件夹包含酵母单个细胞在时序衰老第2天（年轻态）至第20天（衰老态）共10个关键时间点的精修相差图像。 基于分子染料数据集：Dyes.zip 本文件夹分为三个子文件夹，包含针对TMRE、H2DCFDA以及FM™ 4-64FX的精修相差图像。这些图像覆盖了酵母细胞时序衰老从第2天（年轻态）至第20天（衰老态）的10个关键时间点。 基于处理手段的方法数据集：Drugs.zip 本文件夹包含三个子文件夹，内含经不同浓度依托泊苷（etoposide）、5-氮胞苷（azacytidine）以及MG132处理的酵母细胞的精修相差图像。 促长寿药物与敲除数据集：KOs.zip 本文件夹包含经促长寿药物（二甲双胍、亚精胺、精胺）以及遗传敲除（促长寿或抗长寿相关基因）处理的酵母细胞的精修显微图像，覆盖从第2天（年轻态）至第20天（衰老态）的10个关键时间点。 人类数据集：Human.zip 本文件夹包含人类数据集的精修显微图像，具体为喜树碱（CPT）诱导的人类成纤维细胞衰老数据集，以及取自Strum等人2022年发表文献（DOI: 10.1038/s41597-022-01852-y）的复制性衰老数据集。 预训练模型：Model.zip 本文件夹包含CamAge、基于分子染料方法以及基于处理手段方法的预训练模型。 原始与归一化矩阵：Raw_and_Normalized Matrix_RNA seq_And_Raw_metabolomics_data.xlsx 本Excel文件包含RNA测序的原始与归一化矩阵，以及代谢组学分析的原始矩阵。 分割权重文件：yeast_segmentation-master.zip 本文件夹包含酵母细胞分割所需的权重文件与脚本。 9. 活酵母与死酵母细胞数据集：Live_vs_Dead.zip 本文件夹包含酵母单个细胞在时序衰老第2天（年轻态）至第20天（衰老态）共10个关键时间点的精修相差图像与荧光图像。本数据集可用于构建区分活死细胞的二分类模型，同时提供从显微图像中提取的形态计量特征以辅助分析。 10. 应激数据集：stress.zip 本文件夹包含经多种应激条件处理的单个酵母细胞的精修相差图像，这些图像已被整理并用作测试集。