Metadata-Version: 2.1
Name: blobBgone
Version: 0.2.0
Summary: A lightweight tool to remove blob artifacts from 2D/3D point cloud data as produced by MINFLUX 
Home-page: https://github.com/Eggeling-Lab-Microscope-Software/blob-B-gone
Author: Bela Tristan Leander Vogler
Author-email: bela.vogler@uni-jena.de
License: BSD License
Keywords: MINFLUX,clustering,Point Clouds,geometry,Artifact Removal (AR),artifact removal (AR),algorithm,Single particle tracking (SPT),Blobs Detection
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Scientific/Engineering :: Bio-Informatics
Classifier: License :: OSI Approved :: BSD License
Classifier: Programming Language :: Python :: 3
Classifier: Operating System :: OS Independent
Requires-Python: >=3.11
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: numpy
Requires-Dist: scipy
Requires-Dist: matplotlib
Requires-Dist: scikit-learn
Requires-Dist: tqdm
Requires-Dist: pandas
Requires-Dist: saeborn

## A simple tool to remove blobs from 2D/3D point cloud data as produced by MINFLUX

### Please, find the Data used in the work in `Example_Data`, the source code in `blobBgone` and all Figures appearaing in the main text in `Figures`.

Dependencies:
- Python 3
- Numpy
- Scipy
- Matplotlib
- Scikit-learn
- seaborn
- Pandas (Only for Evaluation)
- TkInter (If on Windows)

More precise dependencies will come once the original article is published.
Technically, this should run on both Windows and Linux. 
