{"database":"bioimages","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"submitter":[null],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-BIAD1134"],"repository":["bioimages"],"figure_sub":["Specimen","Funding","Study Component","organisation","Biosample","Associations","Image acquisition"],"pubmed_authors":["Lucien Hinderling","Olivier Pertz","Agne Frismantiene"],"additional_accession":[]},"is_claimable":false,"name":"Light sheet 3D timelapse of a human breast cell acini","description":"This dataset contains a 3D movie of an MCF10A acini. Three fluorescence channels encode a nuclear marker for segmentation and tracking, and reporters for CDK2 and ERK activity. \n\nData dimensions: [t,c,z,y,x] -> [145, 3, 188, 188, 188]\nData format: zarr, \nVoxel size: 0.29x0.29x0.29 μm/px\nTime resolution: 5min/frame\n\nChannels:\nC0: ERK-KTR-mTurquoise2 (ERK activity)\nC1: DHB-mRuby2 (CDK2 activity)\nC2: H2B-miRFP703 (nuclear marker)\n\nThe dataset is used in the paper accompanying conv-paint, an interactive image segmentation tool for napari. The paper will be linked as soon as a preprint is published. The dataset is an interesting test set for various image analysis tools, especially because of its high dimensionality. Stored as a zarr array, it can be drag-and-dropped into the image viewer napar","dates":{"release":"2024-04-30T00:00:00Z","modification":"2024-04-22T18:52:19.233Z","creation":"2024-04-22T17:11:27.871Z"},"accession":"S-BIAD1134","cross_references":{}}