MALDI mass spectrometry imaging
Mouse liver
2022-04-16_08h18m39s
bronze Interactive viewer H&E ✓ Verified publication
print(sdata)
SpatialData object
├── Images
│ └── 'optical_image': DataTree[cyx] (3, 1907, 1978), (3, 953, 989), (3, 476, 494), (3, 238, 247)
├── Shapes
│ └── 'maldi_spots': GeoDataFrame shape: (10000, 2) (2D shapes)
└── Tables
└── 'table': AnnData (10000, 82)
with coordinate systems:
▸ 'global', with elements:
optical_image (Images), maldi_spots (Shapes) Python · sddb client
from sddb import Catalog
ds = Catalog().dataset("ncvHDlRVt31rh1430000")
ds.elements() # inspect without downloading
sdata = ds.to_sdata() # cached locally, reused
print(sdata) Python · lamindb
Needs pip install lamindb and network access to the Lamin database, which is limited during the alpha. If it fails, use the Client tab.
import lamindb as ln
db = ln.DB("scverse/spatialdata-db")
artifact = db.Artifact.get("ncvHDlRVt31rh143") # stem uid: Lamin resolves it to the latest version
sdata = artifact.load() # cache, then load into memory
group = artifact.open() # stream without downloading
path = artifact.cache() # sync into the local cache, returns the path Shell
# sddb client: download the .zarr into data/
sddb-cli download ncvHDlRVt31rh1430000 --dest data/
# or lamin: cache the dataset and print its local path
lamin load https://lamin.ai/scverse/spatialdata-db/artifact/ncvHDlRVt31rh143
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid ncvHDlRVt31rh143License: CC BY 4.0
Metadata
- Technology
- MALDI mass spectrometry imaging
- Organism
- mouse
- Tissue
- liver
- Modality
- Metabolomics
- Observations
- 10,000
- Tier
- bronze
- Magnification
- 40x
- Resolution
- 1,978 × 1,907 px
- mpp
- 10.000 µm/px
- Size
- 15.6 MB
- Sample ID
- 2022-04-16_08h18m39s
- License
- CC BY 4.0
- Published
- Jul 24, 2024
Cite this dataset
doi.org/10.1038/s42255-024-01118-4 ↗ BibTeX
@article{metaspace:2022-04-16_08h18m39s,
doi = {10.1038/s42255-024-01118-4},
title = {2022-04-16_08h18m39s},
year = {2024}
}Source: metaspace2020.org ↗ · License: CC BY 4.0 ↗ · Reprocessed to SpatialData by SpatialData-DB