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Project description

aind-pophys-converter

License Code Style semantic-release: angular Interrogate Coverage Python

A Python package for converting and processing population physiology data files, with a focus on imaging data formats such as TIFF and HDF5.

Overview

aind-pophys-converter provides utilities for converting and working with population physiology data, particularly from imaging experiments. It includes tools to handle various data formats like TIFF files commonly generated in neuroscience experiments.

Installation

From PyPI

pip install aind-pophys-converter

From source

To install the latest development version, clone the repository and install it using pip:

git clone https://github.com/<your-username>/aind-pophys-converter.git
cd aind-pophys-converter
pip install -e .

Usage

from aind_pophys_converter import Converter

# Convert a TIFF file to a different format
converter = Converter("path/to/file.tiff")
converter.convert("desired/output/format")

Contributing

Contributions are welcome! Please read the CONTRIBUTING.md file for more information on how to contribute to this project.

License

This project is licensed under the MIT License - see the LICENSE file for details.

Acknowledgments

  • This package was developed as part of the Allen Institute for Neural Dynamics.
  • We thank the contributors and maintainers of the open-source packages used in this project.

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