spot2cell

Name	spot2cell JSON
Version	0.0.2 JSON
	download
home_page	None
Summary	From a X,Y list of detected spots, assigns each spot to a cell based on a segmentation mask
upload_time	2024-06-25 11:39:04
maintainer	None
docs_url	None
author	None
requires_python	>=3.9
license	AGPL-3.0-or-later
keywords	cell mask spots fish xenium
VCS
bugtrack_url
requirements	No requirements were recorded.
Travis-CI	No Travis.
coveralls test coverage	No coveralls.

            # spot2cell
[![PyPI](https://img.shields.io/pypi/v/spot2cell?style=flat-square)](https://pypi.org/project/spot2cell/)
[![PyPI - Python Version](https://img.shields.io/pypi/pyversions/spot2cell?style=flat-square)](https://pypi.org/project/spot2cell/)
[![PyPI - License](https://img.shields.io/pypi/l/spot2cell?style=flat-square)](https://pypi.org/project/spot2cell/)
[![PyPI - Downloads](https://img.shields.io/pypi/dm/spot2cell)](https://pypistats.org/packages/spot2cell)
[![main](https://github.com/saezlab/liana-py/actions/workflows/main.yml/badge.svg)](https://github.com/schapirolabor/spot2cell/actions)

This tool assigns single-molecule detected spots to their respective cells in a tissue. It is designed to work with single-molecule FISH data technologies, but can be used with other types of data as well.

## Installation

```bash
pip install spot2cell
```

## Docker
Build Docker image from Dockerfile
```bash
docker build -t spot2cell .
```
## CLI

```bash
spot2cell --help
```

            

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