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napari-k2-WaveBreaker

License BSD-3 PyPI Python Version tests codecov napari hub

About this plugin

This Napari plugin was designed for the detection and quantification of periodic biological structures. As this plugin has not been uploaded to napari-hub as of this moment it cannot be installed on a pre-compiled, bundled version of Napari. Therefore Napari will need to be installed as a python package (more info about Napari installation). Further information about the installation and licensing of the plugin can be found below. A detailed manual on the usage of the plugin can be found below as well.

If you have any questions or need help with the installation, please do hesitate to use the issues tab.

In case you need a tutorial on how to use the plugin, please use the "tutorial request" label in the issues tab to reach out to me:

Guide

Actin is the most abundant protein in eukaryotic cells. As it is part of the cytoskeleton its function is essential for the maintenance of the cell's morphological structure. In neurons, it was only recently that researchers started paying attention to the peculiar subcellular organization and localization of actin. First focussing on the dendritic spines, later expanding to the axon.

The axon initial segment (AIS) is defined as the most proximal 30-60 µm of the axon and is known for its sturdy actin-betaIV cytoskeletal structure which is known to facilitate the densely packed ion channels, regulatory and scaffolding proteins on the membrane. The recent popularity of superresolution microscopy techniques like STORM and STED has made the study of the localization of these proteins relatively easy and straightforward.

 

 

Because of this property of the AIS many ion channels are localized either perpendicular to the actin rings or attached to a scaffolding protein called Ankyrin G which is localized in between two actin rings. This results in ion channels like the Kv 1.1 (displayed below) appearing similar to superresolution images of actin.

 

Example image of a rat hippocampal neuron AIS immunostained for Kv1.1. Image made on a Zeiss AxioImager Z1 equipped with a STEDYCON scanhead detector for confocal and super-resolution imaging, fitted with 4 APDs. Post-acquisition, image was deconvolved using Huygens Deconvolution Software

 

This plugin was designed to detect and quantify the distance and the goodness of periodicity between cellular periodic structures. Additionally, it can be used to detect and quantify the periodicity shift between two periodic stuctures.

 


This napari plugin was generated with Cookiecutter using @napari's cookiecutter-napari-plugin template.

Installation

You can install napari-k2-WaveBreaker via pip:

pip install napari-k2-WaveBreaker

Contributing

Contributions are very welcome. Tests can be run with tox, please ensure the coverage at least stays the same before you submit a pull request.

License

Distributed under the terms of the BSD-3 license, "napari-k2-autocorrelation" is free and open source software

Issues

If you encounter any problems, please file an issue along with a detailed description or reach out to me.

Release files for napari-k2-WaveBreaker 0.2.5

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for napari-k2-WaveBreaker 0.2.5
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napari_k2_wavebreaker-0.2.5.tar.gz 969.1 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for napari-k2-WaveBreaker 0.2.5
File Interpreter ABI Platform
napari_k2_WaveBreaker-0.2.5-py3-none-any.whl Python 3 none any Details

Total release size: 1.4 MB

Release files / napari_k2_wavebreaker-0.2.5.tar.gz

Download URL napari_k2_wavebreaker-0.2.5.tar.gz
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Release files / napari_k2_WaveBreaker-0.2.5-py3-none-any.whl

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Size 382.0 kB
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Uploaded via twine/6.0.1 CPython/3.10.9

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0.2.5 This release

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0.2.4

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