Skip to main content

A plugin to track spatio-temporal correlations in images

Project description

arcosPx-napari

License BSD-3 PyPI Python Version tests codecov napari hub

Introduction

This repository contains a dedicated ARCOS.px plugin for the napari image viewer. It tracks spatio-temporal correlations in images as described in a publication of Grädel et al. Tracking Coordinated Cellular Dynamics in Time-Lapse Microscopy with ARCOS.px (link).

ARCOS.px logo         CDL logo

ARCOS.px is a computational method to identify and track clusters of correlated cell signaling in time-lapse microscopy images. It is the latest addition to the ARCOS ecosystem developed in the Cellular Dynamics Lab at the University of Bern.

ARCOS.px napari plugin screenshot

Example tracking

Actin polymerization waves in REF52 fibroblasts treated with 50 ng/mL PDGF, 24h before imaging.

Polymerisation wave in REF52 cells

Installation

You can install arcosPx-napari via pip:

pip install arcosPx-napari

To install latest development version :

pip install git+https://github.com/pertzlab/arcosPx-napari.git

Contributing

Contributions are very welcome. Tests can be run with tox, please ensure the coverage at least stays the same before you submit a pull request.

License

Distributed under the terms of the BSD-3 license, "arcosPx-napari" is free and open source software

Issues

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

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

arcospx_napari-0.1.2.tar.gz (28.6 MB view details)

Uploaded Source

Built Distribution

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

arcospx_napari-0.1.2-py3-none-any.whl (16.5 kB view details)

Uploaded Python 3

File details

Details for the file arcospx_napari-0.1.2.tar.gz.

File metadata

  • Download URL: arcospx_napari-0.1.2.tar.gz
  • Upload date:
  • Size: 28.6 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.4

File hashes

Hashes for arcospx_napari-0.1.2.tar.gz
Algorithm Hash digest
SHA256 3036c93cfd18797a009b4cb7ad51b580be835efefa897dbc52410cb21f4011c9
MD5 e58a3cc6d806cb920990b590f103c796
BLAKE2b-256 696dde3e79f19aa8ce98918f2c02a712c3d8ea52f121f3dc7b3c167f0b6c2630

See more details on using hashes here.

File details

Details for the file arcospx_napari-0.1.2-py3-none-any.whl.

File metadata

  • Download URL: arcospx_napari-0.1.2-py3-none-any.whl
  • Upload date:
  • Size: 16.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.4

File hashes

Hashes for arcospx_napari-0.1.2-py3-none-any.whl
Algorithm Hash digest
SHA256 13c3ba821972dbf4161ea8374810f0dac085b3bcbb16392f458dacef5584f018
MD5 d5cf17b71d5cf0d0dcbd38ced3c1ef15
BLAKE2b-256 c0bba2c960d72957108126400d45bf6549746f7419c4bb74867fddd3d3af927c

See more details on using hashes here.

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