Base Classes for Cell Tracking in Microscopy
Project description
Brief Description
The cell-tracking-BC project proposes a set of classes and tools for the processing and analysis of cell microscopy time-lapses/videos, typically in live-cell imaging. Its purpose is to serve as a basis for the development of computational pipelines and applications, for example to detect cell-related events such as division or death.
Installation
The cell-tracking-BC project is published on the Python Package Index (PyPI) at: https://pypi.org/project/cell-tracking-bc. It requires version 3.8, or newer, of the interpreter. It should be installable from Python distribution platforms or Integrated Development Environments (IDEs). Otherwise, it can be installed from a command-line console:
- For all users, after acquiring administrative rights:
First installation: pip install cell-tracking-bc
Installation update: pip install --upgrade cell-tracking-bc
- For the current user (no administrative rights required):
First installation: pip install --user cell-tracking-bc
Installation update: pip install --user --upgrade cell-tracking-bc
Documentation
The documentation is extremely limited at the moment. It currently takes the form of a small PDF document. The tools pdoc3 and pydoctor are also used to generate an API documentation.
Thanks
The project is developed with PyCharm Community.
The development relies on several open-source packages (see install_requires in setup.py).
The code is formatted by Black, The Uncompromising Code Formatter.
The imports are ordered by isort… your imports, so you don’t have to.
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