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 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

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-1.1.0.tar.gz (16.1 kB view details)

Uploaded Source

Built Distribution

StitchM-1.1.0-py3-none-any.whl (19.5 kB view details)

Uploaded Python 3

File details

Details for the file StitchM-1.1.0.tar.gz.

File metadata

  • Download URL: StitchM-1.1.0.tar.gz
  • Upload date:
  • Size: 16.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/49.6.0.post20210108 requests-toolbelt/0.9.1 tqdm/4.56.2 CPython/3.9.1

File hashes

Hashes for StitchM-1.1.0.tar.gz
Algorithm Hash digest
SHA256 0fafa9e148f7a93f539db0396e795aea25ce97892747e0582329697c79423892
MD5 03006eecf7aac8638d888f73e6c1e0c5
BLAKE2b-256 8a233e2b329a6e1baa02e6ba24621845107b63e709f2f88127e926bc8c3b2186

See more details on using hashes here.

File details

Details for the file StitchM-1.1.0-py3-none-any.whl.

File metadata

  • Download URL: StitchM-1.1.0-py3-none-any.whl
  • Upload date:
  • Size: 19.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/49.6.0.post20210108 requests-toolbelt/0.9.1 tqdm/4.56.2 CPython/3.9.1

File hashes

Hashes for StitchM-1.1.0-py3-none-any.whl
Algorithm Hash digest
SHA256 6e7a4bd84e1a28464b6d8a9fc8267eed14bcd322d5ff728402589ec5879a74cb
MD5 1dbcb3517238a3700497ea2f88699358
BLAKE2b-256 d4be72d69265ff6a531b5e4781c8b1674936e01fed569cd5853ccddd260dae91

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