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Save multidimensional file as folder of tifs

napari-file2folder

Save multidimensional file as folder of tifs

Workflow step:
Image annotation
Image segmentation

License MIT PyPI Python Version tests codecov napari hub

A plugin to inspect bioimages (e.g. .tif, .czi, .nd2, .lsm...) and save them as individual .tif files in a folder.

napari-file2folder is a napari plugin that is part of the Tapenade project. Tapenade is a tool for the analysis of dense 3D tissues acquired with deep imaging microscopy. It is designed to be user-friendly and to provide a comprehensive analysis of the data.

If you use this plugin for your research, please cite us.

Overview

This plugin allows you to inspect (possibly large) bioimages by displaying their shape (number of elements in each dimension), and allowing you to save each element along a chosen dimension as a separate .tif file in a folder. This is useful when you have a large movie or stack of images and you want to save each frame or slice as a separate file. Optionally, the plugin allows the user to visualize the middle element of a given dimension to help the user decide which dimension to save as separate files.

The plugin currently supports the following file formats:

  • .tif
  • .ome.tiff
  • .zarr
  • .ome.zarr
  • .nd2
  • .lsm
  • .czi

This plugin leverages tifffile, bioio, and zarr to circumvent loading the entire images in memory, which allows inspection of very large images.

[!CAUTION] When inspecting the middle element of a dimension, or when saving one element of a dimension as a separate file, the plugin loads the element in memory, which means that at least this lone element must fit in memory.

Installation

The plugin obviously requires napari to run. If you don't have it yet, follow the instructions here.

The simplest way to install napari-file2folder is via the napari plugin manager. Open Napari, go to Plugins > Install/Uninstall Packages... and search for napari-file2folder. Click on the install button and you are ready to go!

You can install napari-file2folder via pip:

pip install napari-file2folder

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 MIT license, "napari-file2folder" is free and open source software

Issues

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


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

Version:

  • 0.0.1

Last updated:

  • 28 October 2024

First released:

  • 28 October 2024

License:

  • The MIT License (MIT) Copyright (c) 2024 Jules Vanaret Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

Supported data:

  • Information not submitted

Plugin type:

GitHub activity:

  • Stars: 0
  • Forks: 0
  • Issues + PRs: 0

Python versions supported:

Operating system:

Requirements:

  • numpy
  • qtpy
  • magicgui
  • tifffile
  • bioio
  • bioio-ome-tiff
  • bioio-ome-zarr
  • bioio-nd2
  • bioio-czi