Metadata-Version: 2.1
Name: cspot
Version: 1.0.6
Summary: CELL SPOTTER (CSPOT): A scalable framework for automated processing of highly multiplexed tissue images
Home-page: https://pypi.org/project/cspot/
Keywords: image analysis,multiplex imaging,single cell analysis
Author: Ajit Johnson Nirmal
Author-email: ajitjohnson.n@gmail.com
Requires-Python: >=3.8,<3.12
Classifier: Development Status :: 5 - Production/Stable
Classifier: Natural Language :: English
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Requires-Dist: Brotli (>=1.0.9,<2.0.0)
Requires-Dist: anndata (>=0.8.0,<0.9.0)
Requires-Dist: argparse (>=1.4.0,<2.0.0)
Requires-Dist: dask (>=2022.8.1,<2023.0.0)
Requires-Dist: matplotlib (>=3.7.1,<4.0.0)
Requires-Dist: numpy (>=1.23.2,<2.0.0)
Requires-Dist: opencv-python (>=4.6.0.66,<5.0.0.0)
Requires-Dist: pandas (>=1.4.4,<2.0.0)
Requires-Dist: pathlib (>=1.0.1,<2.0.0)
Requires-Dist: scikit-image (>=0.19.3,<0.20.0)
Requires-Dist: scikit-learn (>=1.2.1,<2.0.0)
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Project-URL: Documentation, https://nirmallab.github.io/cspot/
Project-URL: Repository, https://github.com/nirmallab/cspot
Description-Content-Type: text/markdown

# cspot
 CELL SPOTTER (CSPOT): A scalable framework for automated processing of highly multiplexed tissue images

