idr0015
Release Date: 2016-04-27
Publication DOI: 10.7554/eLife.26066
Data DOI: 10.17867/10000108
License: CC BY 4.0
PubMed ID: 29087936
PMC ID: PMC5663481
Quantitative 3D-imaging for cell biology and ecology of environmental microbial eukaryotes
eHCFM: a 3D-fluorescence imaging and classification tool for high throughput analysis of microbial eukaryotes in environmental samples. The method generates for each given sample a mosaic of multi-dimentional fields of view (3D, 5 channels). We propose here the exploration of raw images of plankton samples from the Tara Oceans expeditions. Version History November 2017 - the study title, description, publication and screen name updated.
Colin S, Coelho LP, Sunagawa S, Bowler C, Karsenti E, Bork P, Pepperkok R, de Vargas C
Browse Data in IDR
idr0015-colin-taraoceans/screenA ()
BioFile Finder
BioFile Finder is a tool for filtering, sorting and grouping tabular data. Each table below is loaded from IDR as a Parquet file, with each row representing an image. Images can be selected in BioFile Finder and the "Download" link will open them in the IDR viewer.
screenA ( , parquet: )
Download
View OME-Zarr data and download at BioImage Archive: S-BIAD861.
Download as JSON.
Sample Type: cell
Organism: mixed sample
Study Type: high content screen
Screen Type:
Screen Technology Type: geographic screen
Imaging Method: confocal microscopy
Copyright: Colin et al
Data Publisher: University of Dundee
