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.
2 results filtered by organelle: vesicles filtered by metric: shape
In this slice of the corpus, 2 dataset records match. SBF-SEM is the most common imaging family and mitochondria is the organelle that appears most often with count as the most common metric family. The most common captured organelle pair is mitochondria:nucleus.
| Compare | Dataset | Cell Type | Modality | Voxel Size (XY/Z nm) | Sample Size | Data Publicly Available |
|---|---|---|---|---|---|---|
| H446 (lung cancer) whole-cell dataset (SBF-SEM) Jadav et al., 2023, Journal of Structural Biology · PMID 37805154 | H446 (lung cancer) Human (cancer) | SBF-SEM | 9 x 27 nm voxel size (XY/Z, 3D) | 6 | None indexed | |
| Salpingoeca rosetta whole-cell dataset (ssTEM) Laundon et al., 2019, PLOS Biology · PMID 30978201 | Salpingoeca rosetta Salpingoeca rosetta | ssTEM | Unknown | 6 | Partial |
Comparison Summary
Low direct comparability; treat these datasets as analogs rather than close matches.