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.
4 results filtered by organelle: early endosome filtered by metric: count
In this slice of the corpus, 4 dataset records match. Fluorescence is the most common imaging family and early endosome is the organelle that appears most often with contacts as the most common metric family. The most common captured organelle pair is early endosome:mitochondria.
| Compare | Dataset | Cell Type | Modality | Voxel Size (XY/Z nm) | Sample Size | Data Publicly Available |
|---|---|---|---|---|---|---|
| MCF10A (breast epithelia) whole-cell dataset (Fluorescence) Wang et al., 2023, iScience · PMID 37519903 | MCF10A (breast epithelia) Human (differentiated) | Fluorescence | 40 x 200 nm voxel size (XY/Z, 3D) | 20 | None indexed | |
| MDA231 (breast cancer) whole-cell dataset (Fluorescence) Wang et al., 2023, iScience · PMID 37519903 | MDA231 (breast cancer) Human (cancer) | Fluorescence | 40 x 200 nm voxel size (XY/Z, 3D) | 20 | None indexed | |
| T47D (breast cancer) whole-cell dataset (Fluorescence) Wang et al., 2023, iScience · PMID 37519903 | T47D (breast cancer) Human (cancer) | Fluorescence | 40 x 200 nm voxel size (XY/Z, 3D) | 20 | None indexed | |
| AU565 (breast cancer) whole-cell dataset (Fluorescence) Wang et al., 2023, iScience · PMID 37519903 | AU565 (breast cancer) Human (cancer) | Fluorescence | 40 x 200 nm voxel size (XY/Z, 3D) | 20 | None indexed |
Comparison Summary
Moderate comparability; useful for targeted comparison with technical caveats.
This selection includes multiple dataset records from the same paper: Wang 2023. Treat the result as an within-study alignment check, not independent cross-study validation.