Fluorescence microscopy videos of mitochondria and endosomes in H9c2 cardiomyoblasts

This dataset contains a series of three-dimensional fluorescence microscopy videos of the rat cardiomyoblast cell-line H9c2. The outer mitochondrial membrane is labeled with either mCherry (a red fluorescent protein) or eGFP (enhanced green fluorescent protein). Membrane-bound vesicles called endosomes are labeled using mCLING-ATTO647n. A portion of the data is further labeled for acidic vesicles (LysoTracker) and/or has correlative images in brightfield mode (label-free, transmission microscopy). This data is a collection of fluorescence microscopy videos acquired to study the dynamics of mitochondria and the interaction of different subcellular vesicles. Correlative transmission microscopy images (trans) were provided for machine learning to later enable label-free detection of mitochondria and distinguish between different types of vesicles. As three different cameras were used to enable the fast multi-color acquisition, all data has been "channel aligned", i.e., registered to the same sample coordinate system for accurate colocalization of different cellular components. Both unprocessed widefield images and deconvolved data are provided (dimensions: 3D-channels-time) plus maximum intensity z-projected data and AVI-movies of the deconvolved images to enable a quick and easy visualization of the else large image files.

本数据集收录了一系列关于大鼠心肌细胞系H9c2的三维荧光显微镜视频。外线粒体膜被标记为mCherry（一种红色荧光蛋白）或eGFP（增强型绿色荧光蛋白）。膜结合的称为内体的小泡被mCLING-ATTO647n标记。部分数据进一步标记为酸性小泡（LysoTracker），或具备明场模式下的关联图像（无标记，透射显微镜）。这些数据为荧光显微镜视频的集合，旨在研究线粒体的动态变化以及不同亚细胞小泡的相互作用。为机器学习提供的相关透射显微镜图像（trans）旨在后续实现线粒体的无标记检测以及区分不同类型的小泡。鉴于使用了三台不同的相机以实现快速多色采集，所有数据均已进行“通道对齐”，即注册到相同的样本坐标系中，以确保不同细胞成分的精确共定位。数据集包含未处理的全视野图像和去卷积数据（维度：3D通道-时间），以及去卷积图像的AVI电影，以便快速轻松地可视化否则庞大的图像文件。