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https://github.com/czaki/trapalyzer

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Host: GitHub
URL: https://github.com/czaki/trapalyzer
Owner: Czaki
License: mit
Created: 2019-05-06T21:45:19.000Z (over 5 years ago)
Default Branch: master
Last Pushed: 2023-04-11T10:37:33.000Z (over 1 year ago)
Last Synced: 2024-11-18T19:51:34.080Z (about 2 months ago)
Language: Python
Size: 4.87 MB
Stars: 1
Watchers: 3
Forks: 0
Open Issues: 0
Metadata Files:
- Readme: Readme.md
- License: License.txt

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README

# Trapalyzer

Trapalyzer is a PartSeg and napari plugin for automatic feature detection and
quantification for in-vitro NET release studies.

## Installation

Trapalyzer is a plug-in for the PartSeg image processing. To use Trapalyzer,
you first need to [install PartSeg](https://github.com/4DNucleome/PartSeg).
If you use Windows, you can simply download and unpack the `PartSeg.zip` file -
no further installation needed. If you use Linux with a working Python
distribution, we recommend installing PartSeg by running
`pip install PartSeg[all]` in the command line.

After you have installed PartSeg, you can install Trapalyzer:

- If you install PartSeg from prebuild binaries (from zip) then you need to download
this plugin from [release page](https://github.com/Czaki/Trapalyzer/releases) and unpack it to `plugins` directory in PartSeg folder.
- If you install PartSeg using pip or conda then you can install this plugin using pip
`pip install Trapalyzer`

![](Tutorial/Figs/release_img.png)

## Usage examples

In the Tutorial directory you will find instructions on how to use
Trapalyzer to analyze an example data set of fluorescence microscopy images.