semvec/pypi-packages huggingface dataset:
MCGpy 0.1.12
The MCGpy is the package to study and analyze magnetocardiography, for instrumetnal or medical purpose.
Requires Python: >=3.6
Keywords: mcgpy,magnetocardiography

## Description
The MCGpy package contains classes and utilities providing tools and methods for analyzing magnetocardiography(MCG) data. It is designed for someone who wants to utilize it for instrumental or medical purposes without knowing detailed algorithms. For this purpose, several key features of the MCGpy are based on the basic concept and ideas of the [GWpy](https://github.com/gwpy/gwpy), developed by Duncan Macleod <duncan.macleod@ligo.org>.

[MCGpy docs](https://pjjung.github.io/mcgpy/)

## Status
[![Build Status](https://img.shields.io/badge/build-test%20version-9cf)](https://img.shields.io/badge/build-test%20version-9cf)
[![Build Status](https://img.shields.io/badge/version-0.1.12-blue)](https://github.com/pjjung/mcgpy)
[![Build Status](https://img.shields.io/badge/pypi-0.1.12-blueviolet)](https://pypi.org/project/MCGpy/)

[![Build Status](https://img.shields.io/badge/license-%20GPLv3-green)](http://www.gnu.org/licenses/)
[![Build Status](https://img.shields.io/badge/python-3.6%20%7C%203.7%20%7C%203.8%20%7C%203.9-brightgreen)](https://minepy.readthedocs.io/en/latest/)


## Installation

You can do:
```
$ pip install mcgpy
```


## References
Lead field calculation methods were referred to in the following papers:
- M.S Hamalainen, et al., *Interpreting magnetic fields of the brain: minimum orm estimates*,  Med. & Biol. Eng. & Compu., 32, 35-42 (1994)
- J.T. Nenonen, et al., *Minimum-norm estimation in a boundary-element torso model*, Med. & Biol. Eng. & Compu., 32, 42-48 (1994)

## License

The MCGpy is following the GNU General Public License version 3. Under this term, you can redistribute and/or modify it.
See [the GNU free software license](http://www.gnu.org/licenses/) for more details.
npc-analyze-image 1.0.1
A Python package to assist in performing image analysis on Neural Progenitor Cells (NPCS).
Requires Python: >=3.6

# NPC Image Analysis

A Python package to assist in performing image analysis on Neural Progenitor Cells (NPCS).  In particular, it was made to answer the specific question of analyzing the radial process of the cells. This application aims to allow you to use a default implementation to get you started, but also allows the user to customize the analysis process.

![1](https://user-images.githubusercontent.com/96258085/169920909-2001e637-31bf-44ca-afc6-cbf81f0f8dfd.jpg)


**NPC Analysis** aims to bridge the gap between those who want to perform image analysis but are less technical and are blocked by complicated and lengthy python code documentation.  This provides a simple GUI for users to perform image analysis, specifically on the radial process of Neural Progenitor Cells. However, this application can likely be used for any analysis that requires the inital use of a mask to limit the analysis to a specific region. 

NPC Image Analysis utilizes skimage's image processing tools as well as napari for viewing the images in 3D.