Metadata-Version: 2.1
Name: spot2cell
Version: 0.0.1
Summary: From a X,Y list of detected spots, assigns each spot to a cell based on a segmentation mask
Author-email: "Miguel A. Ibarra-Arellano" <c180l058j@mozmail.com>
License: AGPL-3.0-or-later
Project-URL: Repository, https://github.com/SchapiroLabor/spot2cell
Project-URL: Homepage, https://github.com/SchapiroLabor/spot2cell
Project-URL: Issues, https://github.com/SchapiroLabor/spot2cell/issues
Keywords: cell,mask,spots,FISH,Xenium
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Operating System :: OS Independent
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: GNU Affero General Public License v3
Requires-Python: >=3.9
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: numpy
Requires-Dist: tiffile

# spot2cell
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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
```
