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Mouse brain

visium-cytassist-gene-expression-libraries-of-post-xenium-mouse-brain-ff-using-the-mouse-whole-transcriptome-probe-set-2-standard

silver Interactive viewer H&E No linked publication
Mouse brain preview
print(sdata)
SpatialData object
├── Images
│     ├── 'CytAssist_FreshFrozen_Mouse_Brain_Post_Xenium_Rep1_full_image': DataTree[cyx] (3, 36523, 21975), (3, 18261, 10987), (3, 9130, 5493), (3, 4565, 2746), (3, 2282, 1373)
│     ├── 'CytAssist_FreshFrozen_Mouse_Brain_Post_Xenium_Rep1_hires_image': DataArray[cyx] (3, 2000, 1204)
│     └── 'CytAssist_FreshFrozen_Mouse_Brain_Post_Xenium_Rep1_lowres_image': DataArray[cyx] (3, 600, 361)
├── Shapes
│     └── 'CytAssist_FreshFrozen_Mouse_Brain_Post_Xenium_Rep1': GeoDataFrame shape: (5303, 2) (2D shapes)
└── Tables
      └── 'table': AnnData (5303, 19465)
with coordinate systems:
    ▸ 'CytAssist_FreshFrozen_Mouse_Brain_Post_Xenium_Rep1', with elements:
        CytAssist_FreshFrozen_Mouse_Brain_Post_Xenium_Rep1_full_image (Images), CytAssist_FreshFrozen_Mouse_Brain_Post_Xenium_Rep1_hires_image (Images), CytAssist_FreshFrozen_Mouse_Brain_Post_Xenium_Rep1_lowres_image (Images), CytAssist_FreshFrozen_Mouse_Brain_Post_Xenium_Rep1 (Shapes)
    ▸ 'CytAssist_FreshFrozen_Mouse_Brain_Post_Xenium_Rep1_downscaled_hires', with elements:
        CytAssist_FreshFrozen_Mouse_Brain_Post_Xenium_Rep1_hires_image (Images), CytAssist_FreshFrozen_Mouse_Brain_Post_Xenium_Rep1 (Shapes)
    ▸ 'CytAssist_FreshFrozen_Mouse_Brain_Post_Xenium_Rep1_downscaled_lowres', with elements:
        CytAssist_FreshFrozen_Mouse_Brain_Post_Xenium_Rep1_lowres_image (Images), CytAssist_FreshFrozen_Mouse_Brain_Post_Xenium_Rep1 (Shapes)
Load in Python
import lamindb as ln

db = ln.DB("scverse/spatialdata-db")
artifact = db.Artifact.get("MpR6WtRn5YmESFlG")   # 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
Load from the CLI
# one-shot: cache the dataset and print its local path
lamin load https://lamin.ai/scverse/spatialdata-db/artifact/MpR6WtRn5YmESFlG

# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid MpR6WtRn5YmESFlG
Load with the Python client
# pip install git+https://github.com/theislab/spatialdata-db-client
from sddb import Catalog

ds = Catalog().cohort(uids=["MpR6WtRn5YmESFlG0000"])[0]
ds.elements()                 # inspect without downloading
sdata = ds.load(lazy=False)   # copy to the local cache and open

Docs: finding & loading data →

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Metadata

Technology
Visium
Organism
mouse
Tissue
brain
Modality
RNA
Observations
5,303
Tier
silver
Chemistry
Visium CytAssist v2
Magnification
40x
Resolution
21,975 × 36,523 px
mpp
0.251 µm/px
Size
2.0 GB
Sample ID
visium-cytassist-gene-expression-libraries-of-post-xenium-mouse-brain-ff-using-the-mouse-whole-transcriptome-probe-set-2-standard
License
CC BY 4.0
Published
Oct 5, 2023

Cite this dataset

No linked publication found — please cite the data source: 10x Genomics ↗.

Source: 10x Genomics ↗ · License: CC BY 4.0 ↗ · Reprocessed to SpatialData by SpatialData-DB