Skip to main content

Python package for processing, handling, and analyzing fiber photometry data

Project description

PhoPro

A comprehensive toolkit for the processing, analysis, and simulation of fiber photometry data

Overview

This package provides extensive functionaly for processing, handling, analyzing, and bulk processing fiber photometry datasets while remaining highly customizable. The high level APIs only require basic programming experience. It is built around 4 cores modules:

  • PhotometryLoader - loads various photometry data formats.

  • PhotometryExperiment - processes and windows photometry experiments.

  • PhotometryData - handles trial-wise signals and metadata with advanced filtering, averaging, windowing, and analysis functionality.

  • PhotometryPipeline - handles highly-customizable bulk processing of photometry data.

With an additional module for rigorously simulating complex photometry data:

  • SimulatedPhotometry - simulates photometry traces with realistic photobleaching, movement artifacts, and custom event dynamics.

Documentation

Documentation for this package can be found here. It is built with mkdocs-material and hosted on GitHub pages.


Installation

You can now install through PyPi:

pip install PhoPro

Or you can install directly from GitHub using the command:

pip install git+https://github.com/ggolde/PhoPro.git

See the Installation page of the docs for more details.


Planned Features

This package is in ongoing development, please suggest any features you would like to see implemented on the issues page. Below are a few planned features:

  • Implement import support for more formats.
  • More methods for artifact detection and correction.
  • Easier APIs for the cluster based permutation test and functional mixed modeling.
  • Phase out "variants" modules.
  • Improve windowing in PhotometryData.

License

MIT License.

Authors

This package is developed and used internally at the Bizon-Setlow Lab at the University of Florida.

Griffin Golde: University of Florida, contact: ggolde@ufl.edu

Citations

If you use this package in your work, and want to support the package, use the citation below (a proper publication is hopefully on the horizon):

  • Golde G. PhoPro: Python toolkit for simulating, processing, handling, and analyzing fiber photometry data. GitHub repository. Version 0.5.2. Available at: https://github.com/ggolde/PhoPro.

Additionally, if you used the FMM module, please review the recommended reference(s) for the fast-fmm-rpy2 package.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

phopro-0.5.2.tar.gz (79.1 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

phopro-0.5.2-py3-none-any.whl (86.4 kB view details)

Uploaded Python 3

File details

Details for the file phopro-0.5.2.tar.gz.

File metadata

  • Download URL: phopro-0.5.2.tar.gz
  • Upload date:
  • Size: 79.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for phopro-0.5.2.tar.gz
Algorithm Hash digest
SHA256 075035f0beccdb3eb074f265a14907ffa16414b2886c8434a7c1d4a42d75483d
MD5 99491db7a172dfcba65fe0e0730170c4
BLAKE2b-256 9311e227d6298a1bae52e112e4dc65d427d2af60d51286c7264f42ec7315806e

See more details on using hashes here.

Provenance

The following attestation bundles were made for phopro-0.5.2.tar.gz:

Publisher: publish-to-pypi.yml on ggolde/PhoPro

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file phopro-0.5.2-py3-none-any.whl.

File metadata

  • Download URL: phopro-0.5.2-py3-none-any.whl
  • Upload date:
  • Size: 86.4 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for phopro-0.5.2-py3-none-any.whl
Algorithm Hash digest
SHA256 d13dd1ebf6bceebd1a9db1d69d68629af99d0a5ac646163abefafba54d1a350b
MD5 9c4a404f82b8bdc0911dbb0e44ec6ede
BLAKE2b-256 0c949bff3feff7af6d4545cf725058efa98ef78019408254fd4ad09c5e952614

See more details on using hashes here.

Provenance

The following attestation bundles were made for phopro-0.5.2-py3-none-any.whl:

Publisher: publish-to-pypi.yml on ggolde/PhoPro

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page