Visium HD Spatial Gene Expression

Whole transcriptome spatial discovery in high definition

Pair powerful whole transcriptome spatial gene expression with single cell–scale resolution to discover the unique biology in every micron of tissue. Obtain best-in-class data with the simple-to-run CytAssist-enabled workflow.

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Manufactured under license from Centrillion.
FFPE Human Prostate Cancer Tissue

Resources

  • FFPE human prostate cancer tissue
    Spatial discovery power at the resolution you need

    Perform whole transcriptome gene expression analysis at single cell scale with continuous tissue coverage.

  • FFPE mouse embryo sample
    Quality data from every micron of tissue

    Leverage precise transcript localization enabled by Visium CytAssist to generate the highest quality spatial transcriptomics data.

  • Graphic of FFPE samples, including archived blocks and pre-sectioned slides
    Access a broad range of FFPE samples

    Generate powerful data from human or mouse FFPE samples, including archived blocks or pre-sectioned slides.

  • Graphic of stained tissue samples
    Take histology to the next level

    Enhance your H&E and IF imaged samples with high-resolution spatial transcriptomics from the same tissue section.

Visium HD slides

Next-generation slide architecture enables single cell–scale resolution

Visium HD slide architecture

Visium HD Spatial Gene Expression slides contain two 6.5 x 6.5 mm Capture Areas with a continuous lawn of oligonucleotides arrayed in millions of 2 x 2 µm barcoded squares without gaps, achieving single cell–scale spatial resolution. The data is output at 2 µm, as well as multiple bin sizes. The 8 x 8 µm bin is the recommended starting point for visualization and analysis.

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Loupe Browser

Easy-to-use visualization tools seamlessly combine histological and gene expression data

Explore gene expression clusters in the tissue context

Map gene expression onto your H&E or IF image

Identify gene signatures of neighboring regions

Proven results

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Proven results

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Resources

Visium HD enables spatial discovery in FFPE human breast cancer at single-cell scale

Visium HD enables spatial discovery in FFPE human breast cancer at single-cell scale

Poster, 10x Genomics

Poster, 10x Genomics

Grant application resources for Visium Spatial products

Grant application resources for Visium Spatial products

Grant Application Resources, 10x Genomics

Grant Application Resources, 10x Genomics

Whole transcriptome spatial discovery at the resolution you need

Whole transcriptome spatial discovery at the resolution you need

Flyer, 10x Genomics

Flyer, 10x Genomics

Frequently asked questions

Visium HD Spatial Gene Expression slides contain two 6.5 x 6.5 mm Capture Areas with a continuous lawn of oligonucleotides arrayed in millions of 2 x 2 µm barcoded squares without gaps, achieving single cell–scale spatial resolution.

Download Grant Writing Assistance to learn more

Visium HD is compatible with human and mouse formalin-fixed paraffin-embedded (FFPE) tissue sections containing mRNA. This includes archived FFPE blocks and pre-sectioned tissue on glass slides. We plan to expand sample access to other tissue conditions in the future.

Visium HD Spatial Gene Expression is compatible with hematoxylin and eosin (H&E) staining for morphological information and with immunofluorescence (IF) staining for protein co-detection.

10x Genomics provides two types of software to help you analyze your data: Space Ranger and Loupe Browser. Space Ranger is an analysis software that automatically overlays spatial gene expression information on your tissue image and identifies clusters of barcoded squares with similar transcription profiles. You can then use Loupe Browser, a visualization software, to interactively explore the results. You can download Space Ranger and Loupe Browser from the 10x Genomics Support site at no cost.

Learn more about Visium Spatial analysis
The Visium Cytassist and HD kits

Visium Spatial Platform

Bringing spatial context to unbiased whole transcriptome profiling, Visium was designed to help scientists map the relationships between cellular identity, function, interactions, and location in tissue architecture.

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