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.
Most Common Traits in This Slice
A quick snapshot of the active result set. Click a trait to narrow the corpus to that subset.
5 results filtered by organelle: centrosome/basal body filtered by family: EM
In this slice of the corpus, 5 dataset records match. FIB-SEM is the most common imaging family and centrosome/basal body is the organelle that appears most often with count as the most common metric family. The most common captured organelle pair is centrosome/basal body:nucleus.
| Compare | Dataset | Cell Type | Modality | Voxel Size (XY/Z nm) | Sample Size | Data Publicly Available |
|---|---|---|---|---|---|---|
| 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 (XY/Z) isotropic | 7 | Partial | |
| Plasmodium falciparum whole-cell dataset (FIB-SEM) Rudlaff et al., 2020, PLOS Pathogens · PMID 32511279 | Plasmodium falciparum Plasmodium falciparum | FIB-SEM | 5 x 20 nm voxel (XY/Z) | 11 | 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 | |
| Trypanosoma brucei whole-cell dataset (SBF-SEM) Hughes et al., 2017, Journal of Cell Science · PMID 28049718 | Trypanosoma brucei Trypanosoma brucei | SBF-SEM | 6.1 x 100 nm voxel (XY/Z) | 79 | Not Indexed |
Example Compare Summary
Low direct comparability; treat these datasets as analogs rather than close matches.