Explore spatial omics at molecular resolution with CartoScope

CartoScope brings high-resolution spatial omics to your browser through seamless, interactive, multi-layered maps for intuitive visualization and analysis — scaling to billions of molecules at sub-micron resolution, unifying data across various platforms.

Pre-print: Cheng et al. (2026) DOI: 10.5281/zenodo.18739064

Compatibility

Compatible Platforms

CartoScope is compatible with a wide range of microscopic-resolution spatial omics platforms, including, but not limited to existing commerical and academic platforms:

Hover over each technology to preview an example dataset, then click to explore.

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Features

Features

CartoScope empowers you to explore spatial transcriptomics datasets with unprecedented scale, precision, and clarity.

Explore Billions of Molecules at Ultra-high Resolution

Navigate massive spatial omics datasets with a fluid, Google-Maps-like interface. CartoScope efficiently streams billions of transcripts and proteins across thousands of genes at submicron resolution, allowing you to zoom from a whole-tissue view down to individual molecules seamlessly.

Molecular-resolution Inference with FICTURE

Visualize fine-scale tissue biology that cell segmentation misses. CartoScope reveals detailed tissue architecture at molecular resolution with FICTURE, preserving spatial accuracy and complexity while overcoming the barrier of histology-based segmentation bias.

Dynamic Multi-layer Exploration

Unified Multimodal Visualization and Exploration

See the complete biological context by overlaying diverse data layers. Seamlessly toggle and align histological images (H&E, DAPI) with cell-level analysis outputs, molecular inference results, spot/square-based summaries, and individual genes —enabling exploration with rich, end-to-end spatial context.

Interactive ROI Analysis

Instant On-demand ROI Analysis

Move beyond static viewing. Interactively draw arbitrary Regions of Interest (ROIs) on the map to instantly generate statistics, identify marker genes, or run differential expression analyses between selected tissue structures directly in your browser.

Open Access

Democratized Access to Spatial Omics

Access a cost-free, harmonized repository of hundreds of curated public spatial omics datasets via CartoStore, powered by the AWS Open Data Sponsorship Program. CartoScope ecosystem democreatizes access to spatial omics data following the FAIR (Findable, Accessible, Interoperable, and Reusable) data principles.

Save, Share, and Collaborate

Turn your “Eureka!” moments into lasting insights. Bookmark your analysis state — active layers, styling, ROIs, and analysis results — with a single click so that you can pick up where you left. Share via URL (public or unlisted) so collaborators see exactly what you see.
Cross-platform Support

Universal Cross-Platform Support

Analyze data from any major technology in one consistent interface. CartoScope unifies visualization for high-resolution spatial omics platforms — Xenium, MERFISH, Visium HD, CosMx SMI, Stereo-seq, Seq-Scope, STARmap+, Pixel-seq, Singular G4X, and Salus STS — enabling you to compare datasets across different platforms side-by-side, powered by the CartLoader pipeline..

Ecosystem

CartoScope Ecosystem

CartoScope works alongside these specialized modules to deliver a complete spatial omics workflow—from raw data processing to global dataset discovery:

CartLoader

A Python package that streamlines the entire workflow—from data conversion and FICTURE analysis to cloud upload—enabling users to easily load and visualize their datasets in CartoScope.

  • Cross-Platform Format Conversion
    Converts raw SGE data from diverse ST platforms into a unified format, enabling consistent downstream processing.
  • Molecular-level Spatial Factor Inference
    Applies FICTURE to infer spatial factors directly from pixel-level data, capturing biological patterns without requiring cell segmentation.
  • Multi-Modal Integration
    Aligns histology images and all analysis layers (pixel-, cell-, and square-based) into one pixel-accurate coordinate space for direct, cross-modal comparison.
  • Cross-Sample Analysis
    Supports joint analysis and SGE stitching across samples or platforms to reveal shared or differential features.
  • Modular and Reproducible Workflow
    Orchestrates all steps via Makefile to ensure scalability, transparency, and reproducibility.
# Install Cartloader
git clone git@github.com:seqscope/cartloader.git

CartoStore

A curated data hub hosting public datasets processed via CartLoader, where users can browse the collection and instantly explore spatial omics data within CartoScope.

  • Ready-to-use Datasets
    Access processed, high-resolution datasets immediately for interactive exploration.
  • Broad Coverage
    Spans diverse species, tissues, and disease models for a wide range of research needs.
  • Growing Repository
    Continuously updated with new datasets as they are processed and added.
Learn

Tutorials

Master CartoScope with our video guides.

Contact

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University of Michigan