bio-spatial-transcriptomics-spatial-data-io

Loads and unifies spatial transcriptomics data into a single AnnData object.

Updated Mar 30, 2026
One-click install
npx skills add https://github.com/ya-way/cytoclaw-skills --skill bio-spatial-transcriptomics-spatial-data-io
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: bio-spatial-transcriptomics-spatial-data-io
Source: https://github.com/ya-way/cytoclaw-skills/tree/main/workspace/skills/bio-spatial-transcriptomics-spatial-data-io
Command: npx skills add https://github.com/ya-way/cytoclaw-skills --skill bio-spatial-transcriptomics-spatial-data-io

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Load spatial transcriptomics data from Visium, Xenium, MERFISH, Slide-seq, and other platforms using Squidpy and SpatialData. Read Space Ranger outputs, convert formats, and access spatial coordinates. Use when loading Visium, Xenium, MERFISH, or other spatial data.

Core Features & Use Cases

  • Load Visium, Xenium, MERFISH, and Slide-seq outputs into AnnData objects with spatial coordinates and tissue images.
  • Read Space Ranger outputs, convert formats, and access spatial coordinates using Squidpy and SpatialData.
  • Use as a foundation for downstream spatial analyses, integration, and visualization across platforms.

Quick Start

Load spatial data from a folder containing Visium, Xenium, or MERFISH outputs and obtain an AnnData object with coordinates and images ready for analysis.

Frequently Asked Questions about bio-spatial-transcriptomics-spatial-data-io

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I load spatial transcriptomics data from multiple platforms into a single object?

You can load spatial transcriptomics data from multiple platforms by unifying Visium, Xenium, MERFISH, and Slide-seq outputs into a single AnnData object with spatial coordinates and tissue images.

Does Squidpy support reading Space Ranger outputs for Visium data?

Yes, Squidpy supports reading Space Ranger outputs for Visium data. The Skill facilitates reading these outputs, converting formats, and accessing spatial coordinates for downstream analysis.

What is the best way to integrate Xenium and MERFISH spatial data for cross-platform analysis?

The best way to integrate Xenium and MERFISH spatial data is using SpatialData and Squidpy to convert platform-specific outputs into a unified AnnData object, exposing coordinates and images for cross-platform spatial analyses.

Do I need Python and specific packages to load spatial transcriptomics data?

Yes, you need Python, Squidpy, SpatialData, and compatible AnnData workflows to load spatial transcriptomics data. The Skill also provides guidance for version compatibility and platform-specific readers.

Can I access tissue images and spatial coordinates after loading Slide-seq data?

Yes, after loading Slide-seq data, you can access both spatial coordinates and tissue images. The Skill exposes these elements within the AnnData object to support downstream spatial analyses and visualization.