T-MIDAS
Tissue Microscopy Image Data Analysis Suite
The Tissue Microscopy Image Data Analysis Suite (short: T-MIDAS), is a collection of pipelines for batch image preprocessing, segmentation, regions-of-interest (ROI) analysis and other useful features. This is a work in progress (WIP) and an evolutionary step away from the terminal / command-line version of T-MIDAS.
Installation¶
First install Napari in a virtual environment following the latest Napari installation instructions.
After you have activated the environment, you can install napari-tmidas
via pip:
pip install napari-tmidas
To install the latest development version:
pip install git+https://github.com/macromeer/napari-tmidas.git
Usage¶
File inspector¶
- You can find the installed plugin here:
- After opening the plugin, select the folder with the images to be processed (currently supports TIF, later also ZARR). You can also filter for filename suffix.
- As a result, a table appears with the found images.
- Next, select a processing function, set parameters if applicable and start batch processing.
- You can click on the images to show them in the viewer. For example first click on one of the
Original Files
, and then the correspondingProcessed File
to see an overlay.
Whenever you click on an Original File
or Processed File
in the table, it will replace the one that is currently shown in the viewer. So naturally, you'd first select the original image, and then the processed image to correctly overlay the image pair that you want to inspect.
Label inspector¶
If you have already segmented a folder full of images and now you want to maybe inspect and edit each label image, you can use the Label inspector, which automatically saves your changes to the existing label image once you click the Save and Continue
button.
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-tmidas" 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 copier using the napari-plugin-template.
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GitHub activity:
- Stars: 3
- Forks: 0
- Issues + PRs: 0