Huge News!Announcing our $40M Series B led by Abstract Ventures.Learn More
Socket
Sign inDemoInstall
Socket

napari-bil-data-viewer

Package Overview
Dependencies
Maintainers
1
Alerts
File Explorer

Advanced tools

Socket logo

Install Socket

Detect and block malicious and high-risk dependencies

Install

napari-bil-data-viewer

Napari plugin for viewing Brain Image Library datasets

  • 0.6.0
  • PyPI
  • Socket score

Maintainers
1

Description

View datasets archived at the Brain Image Library.

**NOTE: This plugin is under early development. Currently, only a subset of single-channel, fMOST datasets which include projections are available to view. An example can be found here.

Plugin Demo GIF

Features

  • Multiscale Rendering
    • In datasets that include multiple resolution representations of the data, each resolution can be combined to improve the speed of browsing and user experience. An example of a dataset with multiple resolution projections can be found here.
    • All datasets included in the current release of napari-bil-data-viewer use multi-resolution datasets.
  • 3D rendering of whole datasets. The lowest resolution is used for rendering. Currently, this is a limitation imposed by napari.
  • The plugin does NOT require a BIL account as datasets are already accessible via https.

Known Issues / limitations

  • Currently the only datasets that are available are those which have been manually selected by the developers. If you would like a specific dataset to be included please consider adding the dataset(s) to the dataset_info.py file and submitting a pull request.
  • To inquire about this plugin please contact Brain Image Library support: bil-support@psc.edu
  • The plugin is still under development. We appreciate all reports of issues / errors which occur during use.

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

Installation

Option #1: Install plugin via the napari plugin menu

  1. Menu: Plugins >> Install/Uninstall Plugins
  2. Search: napari-bil-data-viewer
  3. Select install

Option #2: Install a fresh python virtual environment

# Example of venv creation using conda
conda create -y -n bil-viewer python=3.8
conda activate bil-viewer

# Install napari-bil-data-viewer
pip install napari-bil-data-viewer

# Run Napari
napari

Contributing

Please consider contributing to this project! 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-bil-data-viewer" is free and open source software

Issues

If you encounter any problems, please file an issue along with a detailed description.

Change Log:

v0.1.0:

Initial release.

v0.1.1 & v0.1.2:

Changes to documentation

v0.1.3:

Added all available summary fMOST datasets

v0.2.0:

Added support for SWC neuron tracings

v0.3.0:

Added support for multiscale OME zarr data

v0.4.0:

Add scale controls for layers

v0.4.2:

Add URL input to visualize image stacks (tif, tiff, jp2)

v0.5.0:

Split the plugin into 5 widgets:

  • Load Curated Datasets
  • Load Image Stack From URL
  • Load Multiscale Data From URL
  • Load Neuron Morphology From URL
  • Layer Scale Controls

v0.5.1:

Add metadata link to curated datasets

v0.6.0:

Add widget to visualize histology RGB tiffs

FAQs


Did you know?

Socket

Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.

Install

Related posts

SocketSocket SOC 2 Logo

Product

  • Package Alerts
  • Integrations
  • Docs
  • Pricing
  • FAQ
  • Roadmap
  • Changelog

Packages

npm

Stay in touch

Get open source security insights delivered straight into your inbox.


  • Terms
  • Privacy
  • Security

Made with ⚡️ by Socket Inc