Metadata-Version: 1.1
Name: scikit-tracker
Version: 0.2.1
Summary: Object detection and tracking for cell biology
Home-page: http://bnoi.github.io/scikit-tracker
Author: Guillaume Gay and Hadrien Mary
Author-email: gllm.gay@gmail.com
License: BSD 3-Clause
Download-URL: https://github.com/bnoi/scikit-tracker
Description: scikit-tracker aims to be a robust Python library to work with cell biology
        microscopy images. OME XML and OME Tiff are supported to handle input/output to the lib. The two
        main goals of the library is to implement detection and tracking algorithms relevant to analyse
        biological microscopy dataset.
        
        Several algorithms are featured and it is planned to add others:
        
        - Gaussian peak detection by deflation loop : Segré et al. Nature Methods (2008)
        - Cell boundary detection with bright field depth fitting : Julou, T., PNAS, (2013)
        - Cell nucleus segmentation : by Guillaume Gay
        - Lap Tracker, a robust single-particle tracking : K. Jaqaman and G. Danuser, Nature Methods, 2008.
          The version implemented in scikit-tracker is a slightly modified version from the original to allow
          easy, flexible and yet powerfull parameters adjustements with custom cost function.
        
        For more details, please visit : http://bnoi.github.io/scikit-tracker/stable
        
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: BSD License
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Topic :: Scientific/Engineering
Classifier: Operating System :: Microsoft :: Windows
Classifier: Operating System :: POSIX :: Linux
Classifier: Operating System :: MacOS
