Skip to main content

Automatic inference of neighboring cells based on their Delaunay triangulation.

Project description

Nfinder

Automatic inference of neighboring cells based on their Delaunay triangulation.

Dependencies

nfinder was tested with:

  • python = 3.8.5
  • napari = 0.4.12
  • numpy = 1.21.2
  • pandas = 1.3.4
  • scikit-image = 0.18.3
  • scipy = 1.7.1

Installation

It can be installed with pip from PyPI:

pip install nfinder

Usage

For usage examples, please check out the notebook in our GitHub repository.

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

nfinder-0.1.tar.gz (772.9 kB view details)

Uploaded Source

File details

Details for the file nfinder-0.1.tar.gz.

File metadata

  • Download URL: nfinder-0.1.tar.gz
  • Upload date:
  • Size: 772.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.6.0 importlib_metadata/3.10.0 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.59.0 CPython/3.8.5

File hashes

Hashes for nfinder-0.1.tar.gz
Algorithm Hash digest
SHA256 d970328104eee1c4b2a9007542345610f1864031e52d24d800971b5a88848ec6
MD5 c5a73d2d817638fdc983fbdf0c39d8cc
BLAKE2b-256 0edf610096c88cf979656e06b64ded909a3aee6591ef34c3f4376f87e75ebcee

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