Skip to main content

Implementation of particle tracking algorithms for 2D+t and 3D+t scientific data

Project description

STracking

STracking is a python framework to develop particles tracking pipeline. This library has been developed to track intra-cellular object in microscopy 2D+t and 3D+t images, but can be use to any spots tracking application in 2D+t and 3D+t images.

System Requirements

Software Requirements

OS Requirements

The STracking development version is tested on Windows 10, MacOS and Linux operating systems. The developmental version of the package has been tested on the following systems:

  • Linux:
  • Mac OSX: Mac OS Catalina 10.15.7
  • Windows: 10

install

Library installation from PyPI

  1. Install an Anaconda distribution of Python -- Choose Python 3.9 and your operating system. Note you might need to use an anaconda prompt if you did not add anaconda to the path.
  2. Open an anaconda prompt / command prompt with conda for python 3 in the path
  3. Create a new environment with conda create --name stracking python=3.9.
  4. To activate this new environment, run conda activate stracking
  5. To install the STrackinglibrary, run python -m pip install stracking.

if you need to update to a new release, use:

python -m pip install stracking --upgrade

Library installation from source

This install is for developers or people who want the last features in the main branch.

  1. Install an Anaconda distribution of Python -- Choose Python 3.9 and your operating system. Note you might need to use an anaconda prompt if you did not add anaconda to the path.
  2. Open an anaconda prompt / command prompt with conda for python 3 in the path
  3. Create a new environment with conda create --name stracking python=3.9.
  4. To activate this new environment, run conda activate stracking
  5. Pull the source code from git with `git pull https://github.com/sylvainprigent/stracking.git
  6. Then install the STracking library from you local dir with: python -m pip install -e ./stracking.

Use STracking with napari

The STracking library is embedded in a napari plugin that allows using STracking with a graphical interface. Please refer to the STracking napari plugin documentation to install and use it.

STracking documentation

The full documentation with tutorial and docstring is available here

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

stracking-0.1.9.tar.gz (29.8 MB view details)

Uploaded Source

Built Distribution

stracking-0.1.9-py3-none-any.whl (22.0 MB view details)

Uploaded Python 3

File details

Details for the file stracking-0.1.9.tar.gz.

File metadata

  • Download URL: stracking-0.1.9.tar.gz
  • Upload date:
  • Size: 29.8 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.0 CPython/3.10.4

File hashes

Hashes for stracking-0.1.9.tar.gz
Algorithm Hash digest
SHA256 e3943c0f2e573eae34fa684318281e77a2a75acc2ad7b8e09b44b34673acfd71
MD5 6313dd16b4130a3718fa4afe70a3e300
BLAKE2b-256 258c8dd2ccc94367569208ac8ee1859c64b29cd63d12f04712555144e7e72b88

See more details on using hashes here.

File details

Details for the file stracking-0.1.9-py3-none-any.whl.

File metadata

  • Download URL: stracking-0.1.9-py3-none-any.whl
  • Upload date:
  • Size: 22.0 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.0 CPython/3.10.4

File hashes

Hashes for stracking-0.1.9-py3-none-any.whl
Algorithm Hash digest
SHA256 fb93c5147488eeb0ed3ffbc202c626f3c75cadffcac8dfc748e9ad7e2f520c1d
MD5 2c348356b717c8fcb9af6638323a9e39
BLAKE2b-256 f67652e20ffd18fd81c3b1a88f6c8787ec120a1dda67572c5a2df22b7a0e7b72

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