Metadata-Version: 2.1
Name: scip
Version: 0.1.11.post1
Summary: Scalable Cytometry Image Processing
Home-page: https://github.com/ScalableCytometryImageProcessing/SCIP
Author-email: maxim.lippeveld@ugent.be
Maintainer: Maxim Lippeveld
License: GPL-2.0-or-later
Project-URL: Documentation, https://scalable-cytometry-image-processing.readthedocs.io/en/latest/
Project-URL: Source, https://github.com/ScalableCytometryImageProcessing/SCIP
Project-URL: Tracker, https://github.com/ScalableCytometryImageProcessing/SCIP/issues
Classifier: Programming Language :: Python :: 3
Classifier: Topic :: Scientific/Engineering :: Bio-Informatics
Classifier: Topic :: Scientific/Engineering :: Image Processing
Requires-Python: >=3.8
Provides-Extra: mpi
Provides-Extra: cellpose
Provides-Extra: czi
Provides-Extra: jobqueue
Provides-Extra: dev
License-File: LICENSE


    Scalable Cytometry Image Processing (SCIP) is an open-source tool that implements an image
    processing pipeline on top of Dask, a distributed computing framework written in Python.
    SCIP performs normalization, image segmentation and masking, and feature extraction.
    
