Metadata-Version: 2.1
Name: NucDetect
Version: 0.5.1.dev3
Summary: Module to identify intranuclear proteins on basis of fluorescence images.
Home-page: https://github.com/SilMon/NucDetect
Author: Romano Weiss
License: UNKNOWN
Platform: UNKNOWN
Classifier: Development Status :: 2 - Pre-Alpha
Classifier: License :: OSI Approved :: GNU General Public License v3 (GPLv3)
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: Programming Language :: Python :: 3.7
Description-Content-Type: text/markdown
Requires-Dist: scipy (>=0.11)
Requires-Dist: numpy (>=1.13.3)
Requires-Dist: scikit-image (>=0.15)
Requires-Dist: matplotlib (>=3.0.2)
Requires-Dist: pyqt5 (>=5.11.3)
Requires-Dist: numba (>=0.45.1)
Requires-Dist: pillow
Requires-Dist: qtawesome
Requires-Dist: piexif (>=1.1.2)

[![PyPI version](https://badge.fury.io/py/NucDetect.svg)](https://badge.fury.io/py/NucDetect)

NucDetect - A python package for Detection and Quantification of DNA Doublestrand Breaks (v0.5)
============

NucDetect is a Python package for the detection and quantification of γH2AX and 53BP1 foci inside nuclei. Its written in 
pure Python 3.7, obeys the PEP 8 style guidelines and includes PEP 484 type hints as well as Epytext docstrings.

### Note

The current release is a very early alpha version. Please report report any detected bugs and/or improvement suggestions.

Requirements
============

NucDetect is compatible with Windows, Mac OS X and Linux operating systems. It is coded using Python 3.6. It requires 
the following packages:

* scipy>=0.19.0
* numpy>=1.13.3
* scikit-image>=0.15
* matplotlib >= 3.0.2
* PyQT5 >= 5.11.3
* Pillow
* qtawesome
* piexif
* tensorflow == 1.13.1
* numba >= 0.45.1

Run the following commands to clone and install from GitHub.

```console
$ git clone https://github.com/SilMon/NucDetect.git
```

### Supported Image Formats

Following image formats are supported by NucDetect:
* TIFF
* PNG
* JPG
* BMP

___

Author: Romano Weiss

Co-Author: Stefan Rödiger


