A package for stitching mosaics from Cockpit with (or without) ROIs
Project description
StitchM
StitchM stitches together mosaic images taken in Cockpit (Micron) into a universally readable format, currently '.ome.tiff'.
The current output is an 16bit greyscale image when stitching the mosaic. Markers exported from Cockpit can be added as rectangular ROIs within the OME metadata stored in the image header. ROIs can be imported and displayed using bioformats in FIJI/ImageJ.
Installation
Using pip: python -m pip install StitchM
Available on PyPI and conda-forge
Using StitchM:
To use command line script: StitchM --help
and StitchM setup --help
to get options and info
To import into python: import stitch_m
or from stitch_m import stitch_and_save, stitch, save
depending on usage
Motivation
To make a mosaic image that can be easily viewed and can be used for automatic alignment with a separate grid image (using gridSNAP).
Features
- Creates tiff from .txt file that links to a .mrc
- Applies exposure compensation from .txt file values
- Slight exposure trimming to remove extreme highlights
- Image normalisation
- OME-TIFF metadata
- Supports regions of interests (ROIs) if markers have been placed and exported to a separate .txt file
- Drag and drop (.bat) processing of a single mosaic (accepts additional ROI file, not batch processing)
- Filtering to attempt to remove fluorecence images (optional in config file)
- Logging level for log file and terminal interface can be separately set in config file
- Command line script interface ("StitchM -h" for details)
- Python module entry point (
python -m stitch_m *args*
) - Python package (main functions for import
from stitch_m import stitch_and_save, stitch, save
)
Copyright
StitchM is licensed under a BSD license, please see LICENSE file. Copyright (c) 2019-2020, Diamond Light Source Ltd. All rights reserved.
Additional information
StitchM uses OME metadata.
As Cockpit creates the images and accompanying files, so was referenced for the creation of this software. Cockpit is licensed under GNU and can be found at https://github.com/MicronOxford/cockpit
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