CZII - CryoET Object Identification Challenge - Experimental Training Data

Dataset Overview

This dataset is comprised of movie stacks, tiltseries, alignments, tomograms and hand-curated ground truth annotations for the purpose of training object identification algorithms in the context of the CryoET Object Identification Challenge. The data was acquired on a Krios G4 using a Falcon 4i detector and SelctrisX energy filter. Tomograms were reconstructed using AreTomo3 v1.0.23 and post-processed using different methods. Each run provides raw, denoised, missing wedge corrected and ctf corrected tomograms. The labels were curated as described in the accompanying paper and include point labels for Apo-ferritin, Beta-amylase, Beta-galactosidase, cytosolic ribosomes, thyroglobulin and VLP.