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napari-stereoTis

PyPI napari hub

Description

A napari plugin for spatial transcriptomics data analysis and visualization. This plugin provides tools for processing and analyzing spatial transcriptomics data using bio-photos, with a focus on cell aggregation detection, tissue segmentation, and data visualization.

Features

  • Cell Aggregation Analysis: Detect and analyze cell aggregates using OPTICS clustering algorithm
  • Tissue Segmentation: Visualize gene signature scores across spatial coordinates and tissue segmentation
  • Data Visualization: Interactive visualization of spatial transcriptomics data
  • Data Export: Export processed data into multi-columns csv for further merging with anndata or seurat objects

Installation

You can install napari-stereoTis via [pip]:

pip install napari-stereoTis

Usage

  1. Start napari:

    napari
  2. Load the plugin from the Plugins menu

Input Data Format

The plugin accepts CSV files with the following format:

  • For cell aggregation: CSV with x,y coordinates (with header)
  • For signature scoring: CSV with x,y coordinates and score values (with header)

Requirements

  • napari[all]
  • numpy
  • scikit-image
  • opencv-python
  • pandas
  • matplotlib

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

License

Distributed under the terms of the Apache License 2.0, "napari-stereoTis" is free and open source software.

Issues

If you encounter any problems, please file an issue along with a detailed description.

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Used to mask cells or tissues for spatial transcriptomes

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