10x Genomics
Visium Spatial Gene Expression

Space Ranger6.1, printed on 12/23/2024

What is Loupe Browser?

Loupe Browser is a desktop application that provides programming free interactive visualization functionality to analyze data from different 10x Genomics solutions. Loupe Browser allows you to easily interrogate different views of your 10x Genomics data to quickly gain insights into the underlying biology. Loupe is named for a jeweler's loupe, which is used to magnify and inspect the details of precious gemstones.

Loupe Browser supports the analysis of data from the Visium Spatial Gene Expression solution. The typical spatial data analysis worklfow involves Loupe Browser at both upstream and downstream steps. In addition to the downstream visualization and analysis capabilities, Loupe Browser offers support for manual alignment of fiducial frame and tissue selection upstream of running Space Ranger pipeline.

To use Loupe Browser, open any .cloupe file generated by the Space Ranger analysis software which is embedded with the following information:

• Tiled version of the tissue image that was used as input into Space Ranger to enable zooming.
• Gene expression information for all spots on the slide.
• Information about spot alignment in the image.
• Various gene expression-based clustering information for the spots, including t-SNE and UMAP projections.

Loupe Browser Spatial Gene Expression Tutorials

Loupe Browser provides many powerful analysis capabilities including the ability to perform the following analysis all within the spatial context of a tissue image:

• Interrogate significant genes.
• Characterize and refine clusters.
• Perform differential expression analysis.

To learn how to use Loupe Browser to analyze your gene expression data, review the following tutorials.

• Manual Alignment
  Use Loupe Browser guided fiducial alignment and tissue selection tools (version 4.0 and later) to generate the manual alignment file in JSON format necessary for spaceranger count pipeline.

• Navigation
  Understand the key features of the interface, the different views, modes and data selector panels as well as export and import options.

• Evaluate Gene Markers
  Use gene markers of known cell type to view their spatial distribution and explore the use of gene expression independent spatial enrichment metric Moran's I (version 5.1 and later) to evaluate spatiality.

• Explore Spatial Clusters
  Understand gene expression data in a spatial context and use gene lists to create custom categories and evaluate differential gene expression between them.

• Characterize Substructure
  Identify subpopulations within clusters in the dataset and create complex Boolean filters to locate regional subfields within a cluster.

• Sharing Results
  Save features of interest, export data tables, and plots from the Visium Spatial data.