LIVECell is a manually annotated and expert-validated dataset of 2D phase contrast images, consisting of over 1.6 million cells from a diverse set of cell morphologies and culture densities. It is also associated with some trained models. All are published under CC BY-NC 4.0 license.
In this challenge, a full stack of electron microscopy (EM) slices will be used to train machine-learning algorithms for the purpose of automatic segmentation of neurites in 3D. This imaging technique visualizes the resulting volumes in a highly anisotropic way, i.e., the x- and y-directions have a high resolution, whereas the z-direction has a low resolution, primarily dependent on the precision of serial cutting.
The Image Data Resource (IDR) is a public repository of image datasets from published scientific studies, where the community can submit, search and access high-quality bio-image data. It is part of The BioImage Archive stores and distributes biological images that are useful to life-science researchers. Its development will provide data archiving services to the broader bioimaging database community. This includes added-value bioimaging data resources such as EMPIAR, Cell-IDR and Tissue-IDR.
The Cell Image library is a large repository of images from all organisms, cell types, and processes, normal and pathological. Original format and ome-tiff format can be downloaded.
The datasets consist of ANNOTATED 2D and 3D time-lapse video sequences of fluorescent counterstained nuclei or cells moving on top or immersed in a substrate, along with 2D Bright Field, Phase Contrast, and Differential Interference Contrast (DIC) microscopy videos of cells moving on a flat substrate. The videos cover a wide range of cell types and quality (spatial and temporal resolution, noise levels etc.) In addition, we provide 2D and 3D videos of synthetic fluorescently stained cells and nuclei of different shapes and motion patterns.