<HashMap><database>bioimages</database><scores/><additional><omics_type>Unknown</omics_type><submitter/><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-BIAD1134</full_dataset_link><repository>bioimages</repository><figure_sub>Specimen</figure_sub><figure_sub>Funding</figure_sub><figure_sub>Study Component</figure_sub><figure_sub>organisation</figure_sub><figure_sub>Biosample</figure_sub><figure_sub>Associations</figure_sub><figure_sub>Image acquisition</figure_sub><pubmed_authors>Lucien Hinderling</pubmed_authors><pubmed_authors>Olivier Pertz</pubmed_authors><pubmed_authors>Agne Frismantiene</pubmed_authors></additional><is_claimable>false</is_claimable><name>Light sheet 3D timelapse of a human breast cell acini</name><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. 

Data dimensions: [t,c,z,y,x] -> [145, 3, 188, 188, 188]
Data format: zarr, 
Voxel size: 0.29x0.29x0.29 μm/px
Time resolution: 5min/frame

Channels:
C0: ERK-KTR-mTurquoise2 (ERK activity)
C1: DHB-mRuby2 (CDK2 activity)
C2: H2B-miRFP703 (nuclear marker)

The 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</description><dates><release>2024-04-30T00:00:00Z</release><modification>2024-04-22T18:52:19.233Z</modification><creation>2024-04-22T17:11:27.871Z</creation></dates><accession>S-BIAD1134</accession><cross_references/></HashMap>