Metadata-Version: 2.1
Name: cellocity
Version: 0.1.8
Summary: Velocity and vector analysis of microscopy data
Home-page: https://github.com/oftatkofta/cellocity
Author: Jens Eriksson
Author-email: jens.eriksson@imbim.uu.se
License: GPLv3
Project-URL: Documentation, https://cellocity.readthedocs.io/en/latest/
Project-URL: Research group, https://www.imbim.uu.se/research-groups/infection-and-defence/sellin-mikael/
Project-URL: Source, https://github.com/oftatkofta/cellocity
Description: # Cellocity
        
        Cellocity is a python package that allows the user to perform Optical Flow and PIV analysis on microscopy data. It is intended to be helpful in both the exploratory and in the data acquisition phases of a cell layer dynamics project. In the exploratory phase, several different algorithms, settings, and preprocessing functions can be evaluated. In the acquisition phase, a pipeline can be "hard coded" for processing of multiple data sets through a pre-determined series of steps.   
        
        ## Velocity and vector analysis of microscopy data
        
        Cellocity can create vector field visualizations, speed graphs, and multiple advanced vector field analyses, such as calculating the instantaneous order parameter, alignment index and correlation lengths of migrating cells.
        
        ## Documentation & Software validation
        
        Documentation is available at [Read the Docs](https://cellocity.readthedocs.io/en/latest/).
        There you can also find an extensive chapter on the validation of the Cellocity software.
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: GNU General Public License v3 (GPLv3)
Classifier: Operating System :: OS Independent
Classifier: Development Status :: 4 - Beta
Classifier: Topic :: Scientific/Engineering
Requires-Python: >=3.6
Description-Content-Type: text/markdown
