Skip to main content

Alignment by Simultaneous Harmonization of Layer/Adjacency Registration

Project description

ASHLAR: Alignment by Simultaneous Harmonization of Layer/Adjacency Registration

Ashlar implements efficient combined stitching and registration of multi-channel image mosaics collected using the Tissue-CycIF microscopy protocol [1]. Although originally developed for CycIF, it may also be applicable to other tiled and/or cyclic imaging approaches. The package offers both a command line script for the most common use cases as well as an API for building more specialized tools.

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

ashlar-1.16.0.tar.gz (35.7 MB view details)

Uploaded Source

File details

Details for the file ashlar-1.16.0.tar.gz.

File metadata

  • Download URL: ashlar-1.16.0.tar.gz
  • Upload date:
  • Size: 35.7 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.7.0 importlib_metadata/4.8.2 pkginfo/1.8.1 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.8.10

File hashes

Hashes for ashlar-1.16.0.tar.gz
Algorithm Hash digest
SHA256 d250f40171da20d376ed4cae81c633b9021bd67f1a446eb5262b5dc9aac0253c
MD5 ee2ff601e4d3717586726bfa3f5478bf
BLAKE2b-256 d0a3189f2230c0a7e360690c27c344198cc19f5c822172ccd8e5d64a1cfc5f11

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