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10X Genomics colon cancer visiumhd data
Spot-level predictions and benchmarking of a zoomed patch in a colon cancer <t>VisiumHD</t> sample. a Example of STHD results of a patch from the human colon cancer VisiumHD sample, revealing tumor-like epithelial cells and intercryptic immune population, visualized using the interactive STHDviewer. b Cell type posterior probabilities at spot level for the same patch, visualized using Squidpy. Top row, three epithelial cell types; Bottom row, two immune cell types. c A spatial plot of unsupervised Leiden clustering on spot gene expression. d Spatial plots of unsupervised Leiden clustering of gene expression aggregated by bins in size of 4 × 4 spots. Left, clustering bins within patch, right, global cluster group of bins. e Cell type proportion decomposed by RCTD on bins of size of 4 × 4 spots, demonstrating two tumor epithelial classes, enterocytes, and stem-like cells. f The H&E histopathology image in full resolution of the same crop. g Comparison to other cell typing and clustering methods adaptive to high-resolution spots. h The STHD predicted labels at spot-level and STHD-guided binning in bins of 4 × 4 spots and 8 × 8 spots, visualized using Squidpy using the same colon cancer cell type colormap. i Benchmarking with simulated high-resolution spatial data. Left, ground truth cell type labels; middle, STHD predicted cell type labels; right, receiver operating characteristic curve (ROC) curve for all cell types. j Benchmarking against other methods for spot annotation in repeated spatial transcriptomics simulations. k Expression dot plots for marker genes of normal epithelial cells, at spot level or STHD-guided bin level. Left to right: normal epithelial cell types in reference human colon cancer sample, normal epithelial cell types based on STHD predicted spots, normal epithelial cell types from STHD-guided bins of size 4 × 4 spots, normal epithelial cell types in STHD-guided bins of size 8 × 8 spots. The same cell type-specific gene markers from the original colon cancer study were used. ROC, Receiver operating characteristic. AUC, area under the curve
Colon Cancer Visiumhd Data, supplied by 10X Genomics, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/colon+cancer+visiumhd+data/pmc12272986-386-0-24?v=10X+Genomics
Average 86 stars, based on 1 article reviews
colon cancer visiumhd data - by Bioz Stars, 2026-08
86/100 stars

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1) Product Images from "STHD: probabilistic cell typing of single spots in whole transcriptome spatial data with high definition"

Article Title: STHD: probabilistic cell typing of single spots in whole transcriptome spatial data with high definition

Journal: Genome Biology

doi: 10.1186/s13059-025-03608-4

Spot-level predictions and benchmarking of a zoomed patch in a colon cancer VisiumHD sample. a Example of STHD results of a patch from the human colon cancer VisiumHD sample, revealing tumor-like epithelial cells and intercryptic immune population, visualized using the interactive STHDviewer. b Cell type posterior probabilities at spot level for the same patch, visualized using Squidpy. Top row, three epithelial cell types; Bottom row, two immune cell types. c A spatial plot of unsupervised Leiden clustering on spot gene expression. d Spatial plots of unsupervised Leiden clustering of gene expression aggregated by bins in size of 4 × 4 spots. Left, clustering bins within patch, right, global cluster group of bins. e Cell type proportion decomposed by RCTD on bins of size of 4 × 4 spots, demonstrating two tumor epithelial classes, enterocytes, and stem-like cells. f The H&E histopathology image in full resolution of the same crop. g Comparison to other cell typing and clustering methods adaptive to high-resolution spots. h The STHD predicted labels at spot-level and STHD-guided binning in bins of 4 × 4 spots and 8 × 8 spots, visualized using Squidpy using the same colon cancer cell type colormap. i Benchmarking with simulated high-resolution spatial data. Left, ground truth cell type labels; middle, STHD predicted cell type labels; right, receiver operating characteristic curve (ROC) curve for all cell types. j Benchmarking against other methods for spot annotation in repeated spatial transcriptomics simulations. k Expression dot plots for marker genes of normal epithelial cells, at spot level or STHD-guided bin level. Left to right: normal epithelial cell types in reference human colon cancer sample, normal epithelial cell types based on STHD predicted spots, normal epithelial cell types from STHD-guided bins of size 4 × 4 spots, normal epithelial cell types in STHD-guided bins of size 8 × 8 spots. The same cell type-specific gene markers from the original colon cancer study were used. ROC, Receiver operating characteristic. AUC, area under the curve
Figure Legend Snippet: Spot-level predictions and benchmarking of a zoomed patch in a colon cancer VisiumHD sample. a Example of STHD results of a patch from the human colon cancer VisiumHD sample, revealing tumor-like epithelial cells and intercryptic immune population, visualized using the interactive STHDviewer. b Cell type posterior probabilities at spot level for the same patch, visualized using Squidpy. Top row, three epithelial cell types; Bottom row, two immune cell types. c A spatial plot of unsupervised Leiden clustering on spot gene expression. d Spatial plots of unsupervised Leiden clustering of gene expression aggregated by bins in size of 4 × 4 spots. Left, clustering bins within patch, right, global cluster group of bins. e Cell type proportion decomposed by RCTD on bins of size of 4 × 4 spots, demonstrating two tumor epithelial classes, enterocytes, and stem-like cells. f The H&E histopathology image in full resolution of the same crop. g Comparison to other cell typing and clustering methods adaptive to high-resolution spots. h The STHD predicted labels at spot-level and STHD-guided binning in bins of 4 × 4 spots and 8 × 8 spots, visualized using Squidpy using the same colon cancer cell type colormap. i Benchmarking with simulated high-resolution spatial data. Left, ground truth cell type labels; middle, STHD predicted cell type labels; right, receiver operating characteristic curve (ROC) curve for all cell types. j Benchmarking against other methods for spot annotation in repeated spatial transcriptomics simulations. k Expression dot plots for marker genes of normal epithelial cells, at spot level or STHD-guided bin level. Left to right: normal epithelial cell types in reference human colon cancer sample, normal epithelial cell types based on STHD predicted spots, normal epithelial cell types from STHD-guided bins of size 4 × 4 spots, normal epithelial cell types in STHD-guided bins of size 8 × 8 spots. The same cell type-specific gene markers from the original colon cancer study were used. ROC, Receiver operating characteristic. AUC, area under the curve

Techniques Used: Gene Expression, Histopathology, Comparison, Expressing, Marker

STHD prediction facilitates segmentation of global structures and cell type-specific differential analyses across spatial regions. a Interactive spatial visualization by STHDviewer of predicted cell type labels for spots in the entire human colon cancer VisiumHD sample. b Annotation of regions of interest, separating epithelial regions and two T cell-infiltrated regions. c Cell type proportion bar plots at cell lineage and cell type level for epithelial regions and whole map. Upper: Proportions of major cell lineages including epithelial cells, fibroblasts, B cells, myeloid cells, and T cells. Bottom: Proportions of finer cell types of epithelial lineage. d Spot-level gene expression for epithelial-specific differential genes across regions. Top three genes by log fold change were shown. e Pathway enrichment of epithelial cell-specific genes differentially expressed in the Epi-Tumor-top region. f Macrophage-specific differential genes for the Epi-Tumor-inside region, where differential analyses were performed at bin level of size 4 × 4 spots with cell type stratification from STHD. DE, differential expression
Figure Legend Snippet: STHD prediction facilitates segmentation of global structures and cell type-specific differential analyses across spatial regions. a Interactive spatial visualization by STHDviewer of predicted cell type labels for spots in the entire human colon cancer VisiumHD sample. b Annotation of regions of interest, separating epithelial regions and two T cell-infiltrated regions. c Cell type proportion bar plots at cell lineage and cell type level for epithelial regions and whole map. Upper: Proportions of major cell lineages including epithelial cells, fibroblasts, B cells, myeloid cells, and T cells. Bottom: Proportions of finer cell types of epithelial lineage. d Spot-level gene expression for epithelial-specific differential genes across regions. Top three genes by log fold change were shown. e Pathway enrichment of epithelial cell-specific genes differentially expressed in the Epi-Tumor-top region. f Macrophage-specific differential genes for the Epi-Tumor-inside region, where differential analyses were performed at bin level of size 4 × 4 spots with cell type stratification from STHD. DE, differential expression

Techniques Used: Gene Expression, Quantitative Proteomics

STHD is scalable to other samples, revealing subcellular cell type identities and tissue structures. a STHD spot-level inference of a human colon cancer Visium HD sample showing tumor, colon tissue, and enriched lymphoid structure. b Left, spots (2 × 2 µm) labeled as germinal center B cells, with B cell marker expression aggregated per 8 × 8 µm bins. Right, spots (2 × 2 µm) labeled as T cells, and expression of TLS-specific T cell cytokine CXCL13 by 8 × 8 µm bins. Marker expression plots are illustrated by loupe browser. c Spot-level inference of human colon VisiumHD sample P5 (cancer) and P3 (normal adjacent tissue). d Immune cell-specific composition across all four human colon Visium HD samples. e STHD results for the mouse small intestine VisiumHD sample, with two zoomed-in regions highlighted. f Spots with immune cell identities in the lymph node-like region, showing T cell, Ms4a1 + B cell and Ighd + B cells. Top, STHD labels in 2 × 2 µm spots, Bottom, marker gene expression in 8 × 8 µm bins. g Spots of intestine cells forming layered structure, including intestine enterocyte cell, epithelial cell, goblet cell, Paneth cell, and fibroblasts. Top, STHD labels in 2 × 2 µm spots, Bottom, marker gene expression in 8 × 8 µm bins. GC, germinal center. CRC, colorectal cancer. NAT, normal adjacent tissue
Figure Legend Snippet: STHD is scalable to other samples, revealing subcellular cell type identities and tissue structures. a STHD spot-level inference of a human colon cancer Visium HD sample showing tumor, colon tissue, and enriched lymphoid structure. b Left, spots (2 × 2 µm) labeled as germinal center B cells, with B cell marker expression aggregated per 8 × 8 µm bins. Right, spots (2 × 2 µm) labeled as T cells, and expression of TLS-specific T cell cytokine CXCL13 by 8 × 8 µm bins. Marker expression plots are illustrated by loupe browser. c Spot-level inference of human colon VisiumHD sample P5 (cancer) and P3 (normal adjacent tissue). d Immune cell-specific composition across all four human colon Visium HD samples. e STHD results for the mouse small intestine VisiumHD sample, with two zoomed-in regions highlighted. f Spots with immune cell identities in the lymph node-like region, showing T cell, Ms4a1 + B cell and Ighd + B cells. Top, STHD labels in 2 × 2 µm spots, Bottom, marker gene expression in 8 × 8 µm bins. g Spots of intestine cells forming layered structure, including intestine enterocyte cell, epithelial cell, goblet cell, Paneth cell, and fibroblasts. Top, STHD labels in 2 × 2 µm spots, Bottom, marker gene expression in 8 × 8 µm bins. GC, germinal center. CRC, colorectal cancer. NAT, normal adjacent tissue

Techniques Used: Labeling, Marker, Expressing, Gene Expression



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10X Genomics colon cancer visiumhd data
Spot-level predictions and benchmarking of a zoomed patch in a colon cancer <t>VisiumHD</t> sample. a Example of STHD results of a patch from the human colon cancer VisiumHD sample, revealing tumor-like epithelial cells and intercryptic immune population, visualized using the interactive STHDviewer. b Cell type posterior probabilities at spot level for the same patch, visualized using Squidpy. Top row, three epithelial cell types; Bottom row, two immune cell types. c A spatial plot of unsupervised Leiden clustering on spot gene expression. d Spatial plots of unsupervised Leiden clustering of gene expression aggregated by bins in size of 4 × 4 spots. Left, clustering bins within patch, right, global cluster group of bins. e Cell type proportion decomposed by RCTD on bins of size of 4 × 4 spots, demonstrating two tumor epithelial classes, enterocytes, and stem-like cells. f The H&E histopathology image in full resolution of the same crop. g Comparison to other cell typing and clustering methods adaptive to high-resolution spots. h The STHD predicted labels at spot-level and STHD-guided binning in bins of 4 × 4 spots and 8 × 8 spots, visualized using Squidpy using the same colon cancer cell type colormap. i Benchmarking with simulated high-resolution spatial data. Left, ground truth cell type labels; middle, STHD predicted cell type labels; right, receiver operating characteristic curve (ROC) curve for all cell types. j Benchmarking against other methods for spot annotation in repeated spatial transcriptomics simulations. k Expression dot plots for marker genes of normal epithelial cells, at spot level or STHD-guided bin level. Left to right: normal epithelial cell types in reference human colon cancer sample, normal epithelial cell types based on STHD predicted spots, normal epithelial cell types from STHD-guided bins of size 4 × 4 spots, normal epithelial cell types in STHD-guided bins of size 8 × 8 spots. The same cell type-specific gene markers from the original colon cancer study were used. ROC, Receiver operating characteristic. AUC, area under the curve
Colon Cancer Visiumhd Data, supplied by 10X Genomics, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/colon+cancer+visiumhd+data/pmc12272986-386-0-24?v=10X+Genomics
Average 86 stars, based on 1 article reviews
colon cancer visiumhd data - by Bioz Stars, 2026-08
86/100 stars
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Spot-level predictions and benchmarking of a zoomed patch in a colon cancer VisiumHD sample. a Example of STHD results of a patch from the human colon cancer VisiumHD sample, revealing tumor-like epithelial cells and intercryptic immune population, visualized using the interactive STHDviewer. b Cell type posterior probabilities at spot level for the same patch, visualized using Squidpy. Top row, three epithelial cell types; Bottom row, two immune cell types. c A spatial plot of unsupervised Leiden clustering on spot gene expression. d Spatial plots of unsupervised Leiden clustering of gene expression aggregated by bins in size of 4 × 4 spots. Left, clustering bins within patch, right, global cluster group of bins. e Cell type proportion decomposed by RCTD on bins of size of 4 × 4 spots, demonstrating two tumor epithelial classes, enterocytes, and stem-like cells. f The H&E histopathology image in full resolution of the same crop. g Comparison to other cell typing and clustering methods adaptive to high-resolution spots. h The STHD predicted labels at spot-level and STHD-guided binning in bins of 4 × 4 spots and 8 × 8 spots, visualized using Squidpy using the same colon cancer cell type colormap. i Benchmarking with simulated high-resolution spatial data. Left, ground truth cell type labels; middle, STHD predicted cell type labels; right, receiver operating characteristic curve (ROC) curve for all cell types. j Benchmarking against other methods for spot annotation in repeated spatial transcriptomics simulations. k Expression dot plots for marker genes of normal epithelial cells, at spot level or STHD-guided bin level. Left to right: normal epithelial cell types in reference human colon cancer sample, normal epithelial cell types based on STHD predicted spots, normal epithelial cell types from STHD-guided bins of size 4 × 4 spots, normal epithelial cell types in STHD-guided bins of size 8 × 8 spots. The same cell type-specific gene markers from the original colon cancer study were used. ROC, Receiver operating characteristic. AUC, area under the curve

Journal: Genome Biology

Article Title: STHD: probabilistic cell typing of single spots in whole transcriptome spatial data with high definition

doi: 10.1186/s13059-025-03608-4

Figure Lengend Snippet: Spot-level predictions and benchmarking of a zoomed patch in a colon cancer VisiumHD sample. a Example of STHD results of a patch from the human colon cancer VisiumHD sample, revealing tumor-like epithelial cells and intercryptic immune population, visualized using the interactive STHDviewer. b Cell type posterior probabilities at spot level for the same patch, visualized using Squidpy. Top row, three epithelial cell types; Bottom row, two immune cell types. c A spatial plot of unsupervised Leiden clustering on spot gene expression. d Spatial plots of unsupervised Leiden clustering of gene expression aggregated by bins in size of 4 × 4 spots. Left, clustering bins within patch, right, global cluster group of bins. e Cell type proportion decomposed by RCTD on bins of size of 4 × 4 spots, demonstrating two tumor epithelial classes, enterocytes, and stem-like cells. f The H&E histopathology image in full resolution of the same crop. g Comparison to other cell typing and clustering methods adaptive to high-resolution spots. h The STHD predicted labels at spot-level and STHD-guided binning in bins of 4 × 4 spots and 8 × 8 spots, visualized using Squidpy using the same colon cancer cell type colormap. i Benchmarking with simulated high-resolution spatial data. Left, ground truth cell type labels; middle, STHD predicted cell type labels; right, receiver operating characteristic curve (ROC) curve for all cell types. j Benchmarking against other methods for spot annotation in repeated spatial transcriptomics simulations. k Expression dot plots for marker genes of normal epithelial cells, at spot level or STHD-guided bin level. Left to right: normal epithelial cell types in reference human colon cancer sample, normal epithelial cell types based on STHD predicted spots, normal epithelial cell types from STHD-guided bins of size 4 × 4 spots, normal epithelial cell types in STHD-guided bins of size 8 × 8 spots. The same cell type-specific gene markers from the original colon cancer study were used. ROC, Receiver operating characteristic. AUC, area under the curve

Article Snippet: Colon cancer VisiumHD data (patient P1, P3, P5) from Oliveira et al. [ ] include two colon cancer and one normal colon, available at https://www.10xgenomics.com/products/visium-hd-spatial-gene-expression/dataset-human-crc [ ].

Techniques: Gene Expression, Histopathology, Comparison, Expressing, Marker

STHD prediction facilitates segmentation of global structures and cell type-specific differential analyses across spatial regions. a Interactive spatial visualization by STHDviewer of predicted cell type labels for spots in the entire human colon cancer VisiumHD sample. b Annotation of regions of interest, separating epithelial regions and two T cell-infiltrated regions. c Cell type proportion bar plots at cell lineage and cell type level for epithelial regions and whole map. Upper: Proportions of major cell lineages including epithelial cells, fibroblasts, B cells, myeloid cells, and T cells. Bottom: Proportions of finer cell types of epithelial lineage. d Spot-level gene expression for epithelial-specific differential genes across regions. Top three genes by log fold change were shown. e Pathway enrichment of epithelial cell-specific genes differentially expressed in the Epi-Tumor-top region. f Macrophage-specific differential genes for the Epi-Tumor-inside region, where differential analyses were performed at bin level of size 4 × 4 spots with cell type stratification from STHD. DE, differential expression

Journal: Genome Biology

Article Title: STHD: probabilistic cell typing of single spots in whole transcriptome spatial data with high definition

doi: 10.1186/s13059-025-03608-4

Figure Lengend Snippet: STHD prediction facilitates segmentation of global structures and cell type-specific differential analyses across spatial regions. a Interactive spatial visualization by STHDviewer of predicted cell type labels for spots in the entire human colon cancer VisiumHD sample. b Annotation of regions of interest, separating epithelial regions and two T cell-infiltrated regions. c Cell type proportion bar plots at cell lineage and cell type level for epithelial regions and whole map. Upper: Proportions of major cell lineages including epithelial cells, fibroblasts, B cells, myeloid cells, and T cells. Bottom: Proportions of finer cell types of epithelial lineage. d Spot-level gene expression for epithelial-specific differential genes across regions. Top three genes by log fold change were shown. e Pathway enrichment of epithelial cell-specific genes differentially expressed in the Epi-Tumor-top region. f Macrophage-specific differential genes for the Epi-Tumor-inside region, where differential analyses were performed at bin level of size 4 × 4 spots with cell type stratification from STHD. DE, differential expression

Article Snippet: Colon cancer VisiumHD data (patient P1, P3, P5) from Oliveira et al. [ ] include two colon cancer and one normal colon, available at https://www.10xgenomics.com/products/visium-hd-spatial-gene-expression/dataset-human-crc [ ].

Techniques: Gene Expression, Quantitative Proteomics

STHD is scalable to other samples, revealing subcellular cell type identities and tissue structures. a STHD spot-level inference of a human colon cancer Visium HD sample showing tumor, colon tissue, and enriched lymphoid structure. b Left, spots (2 × 2 µm) labeled as germinal center B cells, with B cell marker expression aggregated per 8 × 8 µm bins. Right, spots (2 × 2 µm) labeled as T cells, and expression of TLS-specific T cell cytokine CXCL13 by 8 × 8 µm bins. Marker expression plots are illustrated by loupe browser. c Spot-level inference of human colon VisiumHD sample P5 (cancer) and P3 (normal adjacent tissue). d Immune cell-specific composition across all four human colon Visium HD samples. e STHD results for the mouse small intestine VisiumHD sample, with two zoomed-in regions highlighted. f Spots with immune cell identities in the lymph node-like region, showing T cell, Ms4a1 + B cell and Ighd + B cells. Top, STHD labels in 2 × 2 µm spots, Bottom, marker gene expression in 8 × 8 µm bins. g Spots of intestine cells forming layered structure, including intestine enterocyte cell, epithelial cell, goblet cell, Paneth cell, and fibroblasts. Top, STHD labels in 2 × 2 µm spots, Bottom, marker gene expression in 8 × 8 µm bins. GC, germinal center. CRC, colorectal cancer. NAT, normal adjacent tissue

Journal: Genome Biology

Article Title: STHD: probabilistic cell typing of single spots in whole transcriptome spatial data with high definition

doi: 10.1186/s13059-025-03608-4

Figure Lengend Snippet: STHD is scalable to other samples, revealing subcellular cell type identities and tissue structures. a STHD spot-level inference of a human colon cancer Visium HD sample showing tumor, colon tissue, and enriched lymphoid structure. b Left, spots (2 × 2 µm) labeled as germinal center B cells, with B cell marker expression aggregated per 8 × 8 µm bins. Right, spots (2 × 2 µm) labeled as T cells, and expression of TLS-specific T cell cytokine CXCL13 by 8 × 8 µm bins. Marker expression plots are illustrated by loupe browser. c Spot-level inference of human colon VisiumHD sample P5 (cancer) and P3 (normal adjacent tissue). d Immune cell-specific composition across all four human colon Visium HD samples. e STHD results for the mouse small intestine VisiumHD sample, with two zoomed-in regions highlighted. f Spots with immune cell identities in the lymph node-like region, showing T cell, Ms4a1 + B cell and Ighd + B cells. Top, STHD labels in 2 × 2 µm spots, Bottom, marker gene expression in 8 × 8 µm bins. g Spots of intestine cells forming layered structure, including intestine enterocyte cell, epithelial cell, goblet cell, Paneth cell, and fibroblasts. Top, STHD labels in 2 × 2 µm spots, Bottom, marker gene expression in 8 × 8 µm bins. GC, germinal center. CRC, colorectal cancer. NAT, normal adjacent tissue

Article Snippet: Colon cancer VisiumHD data (patient P1, P3, P5) from Oliveira et al. [ ] include two colon cancer and one normal colon, available at https://www.10xgenomics.com/products/visium-hd-spatial-gene-expression/dataset-human-crc [ ].

Techniques: Labeling, Marker, Expressing, Gene Expression