A toolkit for analysis of live-cell microscopy images
Reason this release was yanked:
No longer needed beta version
Project description
CellTK2
Toolkit for analysis of live-cell microscopy data
Installation
The easiest installation method is via pip:
pip install celltk2
To install BayesianTracker tracking method:
pip install celltk2[btrack]
Note: If you are using a Mac with Apple silicon processor, you may run into some issues with this installation. Your best bet may be to try to use conda to install cvxopt before doing the pip install above.
To install graph-based tracking method:
pip install celltk2[kit]
If you run into any problems, please open an issue.
Usage
More details on getting started coming soon. In the meantime, please see the documentation below.
Documentation
https://celltk.readthedocs.io/en/latest/
Credits
This would not be possible without the original CellTK: https://github.com/braysia/CellTK
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Hashes for celltk2-0.4.3b2-py3-none-any.whl
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | cf216f108e9dc2cd877780ff94a936f85dac95df3daaff35db91d09bc806bae0 |
|
| MD5 | c29b8551552ceb30ab6d1560c9331aa9 |
|
| BLAKE2b-256 | 3ea1c1457a1f209a590d5dd0ff16e531ade85f40df2471512c682867ad4a8785 |
