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MALDI mass spectrometry imaging

Human skeletal muscle tissue

2025-05-20_08h21m56s

bronze Interactive viewer H&E No linked publication
Human skeletal muscle tissue preview
print(sdata)
SpatialData object
├── Images
│     └── 'optical_image': DataTree[cyx] (3, 10073, 12068), (3, 5036, 6034), (3, 2518, 3017), (3, 1259, 1508)
├── Shapes
│     └── 'maldi_spots': GeoDataFrame shape: (56862, 2) (2D shapes)
└── Tables
      └── 'table': AnnData (56862, 11)
with coordinate systems:
    ▸ 'global', with elements:
        optical_image (Images), maldi_spots (Shapes)
Python · sddb client
from sddb import Catalog

ds = Catalog().dataset("Mubwh40g2A45B8hk0000")
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("Mubwh40g2A45B8hk")   # 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 Mubwh40g2A45B8hk0000 --dest data/

# or lamin: cache the dataset and print its local path
lamin load https://lamin.ai/scverse/spatialdata-db/artifact/Mubwh40g2A45B8hk

# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid Mubwh40g2A45B8hk

License: CC BY 4.0

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Metadata

Technology
MALDI mass spectrometry imaging
Organism
human
Tissue
skeletal muscle tissue
Modality
Metabolomics
Observations
56,862
Tier
bronze
Resolution
12,068 × 10,073 px
mpp
20.000 µm/px
Size
213 MB
Sample ID
2025-05-20_08h21m56s
License
CC BY 4.0
Published
May 20, 2025

Cite this dataset

No linked publication found — please cite the data source: metaspace2020.org ↗.

Source: metaspace2020.org ↗ · License: CC BY 4.0 ↗ · Reprocessed to SpatialData by SpatialData-DB