Skip to main content

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 Coming soon on conda-forge (also as StitchM)

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

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

StitchM-1.0.1.tar.gz (17.9 kB view details)

Uploaded Source

Built Distribution

StitchM-1.0.1-py3-none-any.whl (38.1 kB view details)

Uploaded Python 3

File details

Details for the file StitchM-1.0.1.tar.gz.

File metadata

  • Download URL: StitchM-1.0.1.tar.gz
  • Upload date:
  • Size: 17.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.23.0 setuptools/47.3.1 requests-toolbelt/0.9.1 tqdm/4.47.0 CPython/3.8.3

File hashes

Hashes for StitchM-1.0.1.tar.gz
Algorithm Hash digest
SHA256 93341ceebac2b24b36b1ce19658f8ba4a04946b9ffbd569f4c181f6b37f5e3c1
MD5 28cca84ab30f44fbe6ba3baffb73bf7e
BLAKE2b-256 ec1156c7684ec6282017d05bf5ee788dce8cc49f5873a17c1f0f68ff6a9840f4

See more details on using hashes here.

File details

Details for the file StitchM-1.0.1-py3-none-any.whl.

File metadata

  • Download URL: StitchM-1.0.1-py3-none-any.whl
  • Upload date:
  • Size: 38.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.23.0 setuptools/47.3.1 requests-toolbelt/0.9.1 tqdm/4.47.0 CPython/3.8.3

File hashes

Hashes for StitchM-1.0.1-py3-none-any.whl
Algorithm Hash digest
SHA256 ed061e8c71bfa4b41f134f762fdece8fae658cc0f3315ad65795f2f145a2a762
MD5 f4c876e521374d6486a96ec7a6e0cb67
BLAKE2b-256 2426f4afa6cabb72718216503caaa3b825fe858dd7592185c2f99b407426a8df

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page