Search the Whole-Cell Imaging Corpus.
Filter the atlas, inspect records in card view, switch to table when you want a denser scan, and build a compare set from either view.
Use This Page
Table view is best for scanning fast. Cards give more context. Compare selection now works in both views, and the drawer follows you until you clear it or open Compare.
Commonality Snapshot
A quick reading of the active result set. Click a trait to narrow the corpus to that subset; this is a frequency snapshot, not a quality ranking.
In this slice of the corpus, 5 dataset records match. FIB-SEM is the most common imaging family and golgi is the organelle that appears most often with count as the most common metric family. The most common captured organelle pair is golgi:mitochondria.
| Compare | Dataset | Cell Type | Modality | Voxel Size (XY/Z nm) | Sample Size | Data Publicly Available |
|---|---|---|---|---|---|---|
| Leishmania mexicana whole-cell dataset (SBF-SEM) Hair et al., 2024, PLOS Pathogens · PMID 38416776 | Leishmania mexicana Leishmania mexicana | SBF-SEM | 5 x 87.5 nm voxel size (XY/Z, 3D) | 51 | Partial | |
| Ensiculifera tyrrhenica whole-cell dataset (FIB-SEM) Mocaer et al., 2023, Journal of Cell Science · PMID 37455654 | Ensiculifera tyrrhenica Ensiculifera tyrrhenica | FIB-SEM | 8 x 8 nm voxel size (XY/Z, 3D) isotropic | 1 | Partial | |
| M. musculus, beta cell whole-cell dataset (FIB-SEM) Muller et al., 2021, Journal of Cell Biology · PMID 33326005 | M. musculus, beta cell M. musculus | FIB-SEM | 4 x 4 nm voxel size (XY/Z, 3D) isotropic | 7 | Partial | |
| Salpingoeca rosetta whole-cell dataset (ssTEM) Laundon et al., 2019, PLOS Biology · PMID 30978201 | Salpingoeca rosetta Salpingoeca rosetta | ssTEM | Unknown | 6 | Partial | |
| Oscarella carmela, choanocytes whole-cell dataset (ssTEM) Laundon et al., 2019, PLOS Biology · PMID 30978201 | Oscarella carmela, choanocytes Oscarella carmela | ssTEM | Unknown | 5 | Partial |
Comparison Summary
Moderate comparability; useful for targeted comparison with technical caveats.