Control point mapping and coordination transformation using napari
Project description
napping
Control point mapping and coordination transformation using napari
Requirements
This package requires Python 3.7 or newer.
Python package dependencies are listed in requirements.txt.
Using virtual environments is strongly recommended.
Installation
Install napping and its dependencies with:
pip install napping
Environment setup example: mapping IMC and slidescanner images
As napari is under active development, the use of virtual environments is strongly encouraged. For example, to set up an environment for aligning Imaging Mass Cytometry (IMC, .mcd/.txt) and bright-field/immunofluorescence slidescanner (.czi) images:
conda create -n napping python
conda activate napping
pip install napping napari-imc napari-czifile2
Afterwards, napping can be started from inside the environment:
napping
Usage
Use napping
for control point mapping and coordinate transformation
Authors
Created and maintained by Jonas Windhager jonas.windhager@uzh.ch
Contributing
Changelog
License
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
File details
Details for the file napping-0.1.7.tar.gz
.
File metadata
- Download URL: napping-0.1.7.tar.gz
- Upload date:
- Size: 15.5 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.4.0 importlib_metadata/3.7.3 packaging/20.9 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.59.0 CPython/3.7.10
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 15132f3aa00f2b4d2031405a1182dfca1bc51fa57246cadf2a003eb3b8ab3ace |
|
MD5 | 4a3afd31399d124a438ba28c94b1f84d |
|
BLAKE2b-256 | 9fb44d903ce8036146812b078c8f7054eb374e3ae6836ed7723559ffc1b88217 |
File details
Details for the file napping-0.1.7-py3-none-any.whl
.
File metadata
- Download URL: napping-0.1.7-py3-none-any.whl
- Upload date:
- Size: 15.5 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.4.0 importlib_metadata/3.7.3 packaging/20.9 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.59.0 CPython/3.7.10
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | deaf5a31a4173ff5fc75607e496dd14dfa0287ebc02fb47129aa3fb148bc3d5d |
|
MD5 | 5758d839f600a13bdee584ceaa1ae239 |
|
BLAKE2b-256 | 0f992b20846ce909a51b04375f3103c04ed0566518ae32daf8eac35c587fabeb |