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.
.. [1] Tissue-CycIF is multi-round immunofluorescence microscopy on large fixed
tissue samples. See https://doi.org/10.1101/151738 for details.
Raw data
{
"_id": null,
"home_page": "https://github.com/openuc2/ashlar",
"name": "ashlarUC2",
"maintainer": null,
"docs_url": null,
"requires_python": null,
"maintainer_email": null,
"keywords": "scripts, microscopy, registration, stitching",
"author": "Jeremy Muhlich modified by Benedict Diederich",
"author_email": "benedictdied@gmail.com",
"download_url": "https://files.pythonhosted.org/packages/43/da/3d9f86cd249d0b916da2a2744b32272306f8f71de505f31316c3c693de32/ashlaruc2-1.18.1.tar.gz",
"platform": null,
"description": "\n\nASHLAR: Alignment by Simultaneous Harmonization of Layer/Adjacency Registration\n\nAshlar implements efficient combined stitching and registration of multi-channel\nimage mosaics collected using the Tissue-CycIF microscopy protocol [1]_. Although\noriginally developed for CycIF, it may also be applicable to other tiled and/or\ncyclic imaging approaches. The package offers both a command line script for the\nmost common use cases as well as an API for building more specialized tools.\n\n.. [1] Tissue-CycIF is multi-round immunofluorescence microscopy on large fixed\n tissue samples. See https://doi.org/10.1101/151738 for details.\n\n",
"bugtrack_url": null,
"license": "MIT License",
"summary": "Alignment by Simultaneous Harmonization of Layer/Adjacency Registration",
"version": "1.18.1",
"project_urls": {
"Download": "https://github.com/openuc2/ashlar/archive/v1.18.1.tar.gz",
"Homepage": "https://github.com/openuc2/ashlar"
},
"split_keywords": [
"scripts",
" microscopy",
" registration",
" stitching"
],
"urls": [
{
"comment_text": "",
"digests": {
"blake2b_256": "ee1eb60f8d76794bc877a3440a6c3a7181936c5e7267dbe59cede55cd7493d44",
"md5": "d836dd2ee9d01041b29721cdc2803052",
"sha256": "9d101de6a958bc7b495159cb1b87fc0f62f81eaa7a2c361eb13ab4cf77bf4d9d"
},
"downloads": -1,
"filename": "ashlarUC2-1.18.1-py3-none-any.whl",
"has_sig": false,
"md5_digest": "d836dd2ee9d01041b29721cdc2803052",
"packagetype": "bdist_wheel",
"python_version": "py3",
"requires_python": null,
"size": 47273,
"upload_time": "2024-06-27T21:19:49",
"upload_time_iso_8601": "2024-06-27T21:19:49.224239Z",
"url": "https://files.pythonhosted.org/packages/ee/1e/b60f8d76794bc877a3440a6c3a7181936c5e7267dbe59cede55cd7493d44/ashlarUC2-1.18.1-py3-none-any.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "43da3d9f86cd249d0b916da2a2744b32272306f8f71de505f31316c3c693de32",
"md5": "fd54ce32b162e4564002f641368822a1",
"sha256": "12db8ed79ebe9b12ef3d215ff08160fc248033f607f0305e6731c5f1a3cf1f16"
},
"downloads": -1,
"filename": "ashlaruc2-1.18.1.tar.gz",
"has_sig": false,
"md5_digest": "fd54ce32b162e4564002f641368822a1",
"packagetype": "sdist",
"python_version": "source",
"requires_python": null,
"size": 61397,
"upload_time": "2024-06-27T21:19:55",
"upload_time_iso_8601": "2024-06-27T21:19:55.474104Z",
"url": "https://files.pythonhosted.org/packages/43/da/3d9f86cd249d0b916da2a2744b32272306f8f71de505f31316c3c693de32/ashlaruc2-1.18.1.tar.gz",
"yanked": false,
"yanked_reason": null
}
],
"upload_time": "2024-06-27 21:19:55",
"github": true,
"gitlab": false,
"bitbucket": false,
"codeberg": false,
"github_user": "openuc2",
"github_project": "ashlar",
"travis_ci": false,
"coveralls": false,
"github_actions": true,
"lcname": "ashlaruc2"
}