Skip to main content

Napari interface for the De Palma lab.

Project description

EPFL Center for Imaging logo screenshot

Image analysis of tumor nodules in mice CT scans

We provide a unified user interface in Napari to detect, track, visualize, annotate, and measure the size evolution of lung tumor nodules in mice CT scans. The datasets and experiment metadata are automatically downloaded and parsed from OMERO.

This project is part of a collaboration between the EPFL Center for Imaging and the De Palma Lab.

Installation

As a standalone app

Download and run the latest installer from the Releases page.

In Python

We recommend performing the installation in a clean Python environment. Install our package from PyPi:

pip install depalma-napari-omero

or from the repository:

pip install git+https://github.com/EPFL-Center-for-Imaging/depalma-napari-omero.git

or clone the repository and install with:

git clone git+https://github.com/EPFL-Center-for-Imaging/depalma-napari-omero.git
cd depalma-napari-omero
pip install -e .

Usage

From the command-line, start Napari with the depalma-napari-omero plugin:

napari -w depalma-napari-omero

License

This project is licensed under the AGPL-3 license.

This project depends on the ultralytics package which is licensed under AGPL-3.

Related projects

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

depalma_napari_omero-0.2.4.tar.gz (551.0 kB view details)

Uploaded Source

Built Distribution

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

depalma_napari_omero-0.2.4-py3-none-any.whl (40.8 kB view details)

Uploaded Python 3

File details

Details for the file depalma_napari_omero-0.2.4.tar.gz.

File metadata

  • Download URL: depalma_napari_omero-0.2.4.tar.gz
  • Upload date:
  • Size: 551.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.9.20

File hashes

Hashes for depalma_napari_omero-0.2.4.tar.gz
Algorithm Hash digest
SHA256 e7896f5a0c601ded50a9c158f278960d2ae5baef9e96ced7ba38106afa48df9f
MD5 eeadf1e45a979a3e5de9ce4e47663fc0
BLAKE2b-256 a2a5a688a32cc1e12d50394b65965f6d6cad45ecfa3fb86b41257c31c9bc2c04

See more details on using hashes here.

File details

Details for the file depalma_napari_omero-0.2.4-py3-none-any.whl.

File metadata

File hashes

Hashes for depalma_napari_omero-0.2.4-py3-none-any.whl
Algorithm Hash digest
SHA256 a8b5ae7af9f50a595b130c3083c7125a31d43647a724e60ab2d19395205942c6
MD5 f8ed9fbe03534c12e50fd22033ad7258
BLAKE2b-256 9b53ea5cec347cbdaf901f6bdaede14fcdf83ff6a0faa43a32f6adc568781221

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