10x Visium
Spatial domain mapping
Human Lymph Node (Space Ranger 1.1.0)
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How scientists turn complex spatial multi-omics data into biological insights.
Spatial domain mapping
Human Lymph Node (Space Ranger 1.1.0)
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Spatially variable genes
Human lung cancer (FFPE), immunofluorescence-stained section
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Single-cell spatial typing on H&E
Human lung cancer (FFPE), 289-gene lung panel, with H&E of the same section
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Cell typing across a tissue microarray
Colorectal cancer tissue microarray (MSI and MSS tumors with normal mucosa), 1,000-plex RNA panel
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Tumor microenvironment composition
Human ovarian cancer, 316-gene immuno-oncology panel
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Differential expression between tissue compartments
Human kidney biopsies, minimal change disease vs controls (GSE277674)
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Cell neighborhood analysis
Normal human bone marrow, 54-marker PhenoCycler-Fusion scan (H36)
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Marker positivity and threshold sensitivity
LuCa-7color whole-slide scan, original Vectra Polaris file
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Channel phenotypes and neighborhoods
LuCa-7color whole-slide scan (Vectra Polaris)
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Imaging mass cytometry cell phenotyping
Example imaging mass cytometry raw data, patient 1
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scRNA-seq cell annotation
10k PBMCs from a healthy donor (v3 chemistry)
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Checking curated cell labels
Immune cells from SCLC patients (Ng et al. 2026, Cancer Cell)
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Mutation co-occurrence analysis
TCGA lung adenocarcinoma, PanCancer Atlas: 566 sequenced tumors
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Tissue and nuclei quantification
TCGA-AR-A0TX diagnostic H&E slide (TCGA-BRCA)
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Nuclei density on H&E
Hamamatsu-2: H&E section scanned on a Hamamatsu NanoZoomer
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Lymph node cellularity
Philips-1: lymph node H&E from CAMELYON16
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Nuclei counting on trichrome
Zeiss-5: mouse kidney, trichrome stain, two scenes
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Nuclei density across sections
Leica-2: mouse kidney H&E, four sections scanned as separate 40× regions
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