Visium
Human intestine
MISC40
silver Interactive viewer H&E colon adenocarcinoma ✓ Verified publication
print(sdata)
SpatialData object
├── Images
│ └── 'MISC40_full_image': DataTree[cyx] (3, 30896, 38943), (3, 15448, 19471), (3, 7724, 9735), (3, 3862, 4867)
├── Shapes
│ └── 'MISC40_spots': GeoDataFrame shape: (4116, 2) (2D shapes)
└── Tables
└── 'table': AnnData (4116, 19352)
with coordinate systems:
▸ 'global', with elements:
MISC40_full_image (Images), MISC40_spots (Shapes) Load in Python
import lamindb as ln
db = ln.DB("scverse/spatialdata-db")
artifact = db.Artifact.get("wpcSz9X2U9FX9mH5") # 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/wpcSz9X2U9FX9mH5
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid wpcSz9X2U9FX9mH5 Load with the Python client
# pip install git+https://github.com/theislab/spatialdata-db-client
from sddb import Catalog
ds = Catalog().cohort(uids=["wpcSz9X2U9FX9mH50000"])[0]
ds.elements() # inspect without downloading
sdata = ds.load(lazy=False) # copy to the local cache and openMetadata
- Technology
- Visium
- Organism
- human
- Tissue
- intestine
- Condition
- colon adenocarcinoma
- Modality
- RNA
- Observations
- 4,116
- Tier
- silver
- Chemistry
- Visium v1
- Magnification
- 40x
- Resolution
- 38,943 × 30,896 px
- mpp
- 0.276 µm/px
- Size
- 2.4 GB
- Sample ID
- MISC40
- License
- CC BY-NC-SA 4.0 NonCommercial
- Published
- Dec 7, 2023
Cite this dataset
doi.org/10.1016/j.cell.2021.11.031 ↗ BibTeX
@article{Chen_2021,
title = {Differential pre-malignant programs and microenvironment chart distinct paths to malignancy in human colorectal polyps},
volume = {184},
ISSN = {0092-8674},
url = {http://dx.doi.org/10.1016/j.cell.2021.11.031},
DOI = {10.1016/j.cell.2021.11.031},
number = {26},
journal = {Cell},
publisher = {Elsevier BV},
author = {Chen, Bob and Scurrah, Cherie’ R. and McKinley, Eliot T. and Simmons, Alan J. and Ramirez-Solano, Marisol A. and Zhu, Xiangzhu and Markham, Nicholas O. and Heiser, Cody N. and Vega, Paige N. and Rolong, Andrea and Kim, Hyeyon and Sheng, Quanhu and Drewes, Julia L. and Zhou, Yuan and Southard-Smith, Austin N. and Xu, Yanwen and Ro, James and Jones, Angela L. and Revetta, Frank and Berry, Lynne D. and Niitsu, Hiroaki and Islam, Mirazul and Pelka, Karin and Hofree, Matan and Chen, Jonathan H. and Sarkizova, Siranush and Ng, Kimmie and Giannakis, Marios and Boland, Genevieve M. and Aguirre, Andrew J. and Anderson, Ana C. and Rozenblatt-Rosen, Orit and Regev, Aviv and Hacohen, Nir and Kawasaki, Kenta and Sato, Toshiro and Goettel, Jeremy A. and Grady, William M. and Zheng, Wei and Washington, M. Kay and Cai, Qiuyin and Sears, Cynthia L. and Goldenring, James R. and Franklin, Jeffrey L. and Su, Timothy and Huh, Won Jae and Vandekar, Simon and Roland, Joseph T. and Liu, Qi and Coffey, Robert J. and Shrubsole, Martha J. and Lau, Ken S.},
year = {2021},
month = Dec,
pages = {6262–6280.e26}
}Source: cell.com ↗ · License: CC BY-NC-SA 4.0 ↗ · Reprocessed to SpatialData by SpatialData-DB