Human intestine processed CODEX multiplexed images for donors B009-B012 (Part 2/2)

We performed CODEX (co-detection by indexing) multiplexed imaging on 64
sections of the human intestine (~16 mm2) from 8 donors (B004, B005, B006,
B008, B009, B010, B011, and B012) using a panel of 57
oligonucleotide-barcoded antibodies. Subsequently, images underwent
standard CODEX image processing (tile stitching, drift compensation, cycle
concatenation, background subtraction, deconvolution, and determination of
best focal plane). This data could be used to understand the cellular
interactions, composition, and structure of the human intestine from the
duodenum to the sigmoid colon and understand differences between different
areas of the intestine. This data could be used as a healthy baseline to
compare other single-cell datasets of the human intestine, particularly
multiplexed imaging ones. The overall structure of the datasets is
organized into 2 parts. This is the second part associated with this
dataset are from donors B009, B010, B011, B012. This data is complimentary
and can be linked to the single-cell processed dataframe already provided
in another Dryad repository based on the donor name, folder name, and
region number: https://doi.org/10.5061/dryad.pk0p2ngrf The raw imaging
data can be found at (https://portal.hubmapconsortium.org/). We have
created a landing page with links to all the raw dataset IDs and the
HuBMAP ID for this Collection is HBM692.JRZB.356 and the DOI
is:10.35079/HBM692.JRZB.356. This can be used to also pair it with the
matched snRNAseq and snATACseq for each section of tissue.