Skip to main content

Quantifying 2D cell shape and epithelial tissue dynamics

Project description

Licence PyPI Python Version tests Documentation coverage napari hub

Welcome to EpiTools!

EpiTools is a Python package and associated napari plugin to extract the membrane signal from epithelial tissues and analyze it with the aid of computer vision.

The development of EpiTools was inspired by the challenges in analyzing time-lapses of growing Drosophila imaginal discs.

The folded morphology, the very small apical cell surfaces and the long time series required a new automated cell recognition to accurately study growth dynamics.

Installation

First, install napari.

The recommended way to install EpiTools is via pip

python -m pip install epitools

To install the latest development version of EpiTools clone this repository and run

python -m pip install -e .

If working on Apple Silicon make sure to also install the following package from conda-forge.

conda install -c conda-forge pyqt

Recommended Companion Napari Plugins

To also install the recommended plugins for the EpiTools workflow run

python -m pip install epitools[wf]

and

python -m pip install -e .[wf]

When installing with Apple Mac OS X terminal, you might need to add '"' to [wf] as in:

python -m pip install -e ."[wf]"

If working on Apple Silicon make sure to also install the following package from conda-forge

conda install -c conda-forge cvxopt

which is required for btrack.

Issues

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

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.

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

epitools-0.0.12.tar.gz (16.0 MB view details)

Uploaded Source

Built Distribution

epitools-0.0.12-py3-none-any.whl (388.8 kB view details)

Uploaded Python 3

File details

Details for the file epitools-0.0.12.tar.gz.

File metadata

  • Download URL: epitools-0.0.12.tar.gz
  • Upload date:
  • Size: 16.0 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.4

File hashes

Hashes for epitools-0.0.12.tar.gz
Algorithm Hash digest
SHA256 cae74fded34d12543459732d873dc144086c8528c150552d06577839737c30c8
MD5 3907346a36e92f83f26e1a6971e15528
BLAKE2b-256 c9f82812d1a255f72774d5daaf713fb243fe29896f69972233616ef6891707ae

See more details on using hashes here.

File details

Details for the file epitools-0.0.12-py3-none-any.whl.

File metadata

  • Download URL: epitools-0.0.12-py3-none-any.whl
  • Upload date:
  • Size: 388.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.4

File hashes

Hashes for epitools-0.0.12-py3-none-any.whl
Algorithm Hash digest
SHA256 9b1afcc2cef15d9388c93bb0421aca3cf1eedabeea3e2ec8d5bcc3dd45613206
MD5 558c8ed53411ded8014136b00aed4d6a
BLAKE2b-256 91c9bcb890908bd1cbc306725b3fc74e4baf97a64496575b3b4da11115d97089

See more details on using hashes here.

Supported by

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