Skip to main content

Napari plugin for RNA-Fish+cells analysis pipeline

Project description

Fish&Feats snap

License BSD-3 PyPI Python Version napari hub DOI

Napari plugin to quantify 3D cells in a tissue and their smRNA-Fish or other RNA contents.

main.webm

Fish&Feats offers several flexible options to analyse 3D cells and RNA counts, from segmentation of apical cells and nuclei to hierarchical clustering of cells based on their RNA contents. Installation/Usage are all described in the documentation.

main interface

Installation

Please refer to our documentation page for more details on the installation.

FishFeats is distributed as a pip module on pypi. It can be installed by typing in a python virtual environement:

pip install fishfeats

Usage

You can launch fishfeats in Napari by going to Plugins>fishfeats>Start. It will open a file dialog box asking you to select the image that you want to analyze. Refer to the documentation for presentation of the different steps possible in the pipeline.

Test dataset

You can find in this zenodo repository https://zenodo.org/records/17048217 freely available images that can be used to test our pipeline. All the steps are fully documented in the online documentation and can be performed with one of these test images.

Example of analysis you can do with FishFeats are detailled step-by-step here and can be followed with the test image.

License

Fishfeats is distributed freely under the BSD-3 license.

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

fishfeats-1.3.2.tar.gz (121.5 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

fishfeats-1.3.2-py3-none-any.whl (125.2 kB view details)

Uploaded Python 3

File details

Details for the file fishfeats-1.3.2.tar.gz.

File metadata

  • Download URL: fishfeats-1.3.2.tar.gz
  • Upload date:
  • Size: 121.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.4.2 requests/2.31.0 setuptools/45.2.0 requests-toolbelt/1.0.0 tqdm/4.65.0 CPython/3.8.10

File hashes

Hashes for fishfeats-1.3.2.tar.gz
Algorithm Hash digest
SHA256 78431dc527b00a0c438e4893051cdb01a4772619ffe2c179cb38b348301291c0
MD5 b87659bd0f143d11fd3ee40aa05509cc
BLAKE2b-256 bed5ad114d753be7eacd6155873371a4a94dbcd6dae5dd6bf86bb4fc165f7312

See more details on using hashes here.

File details

Details for the file fishfeats-1.3.2-py3-none-any.whl.

File metadata

  • Download URL: fishfeats-1.3.2-py3-none-any.whl
  • Upload date:
  • Size: 125.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.4.2 requests/2.31.0 setuptools/45.2.0 requests-toolbelt/1.0.0 tqdm/4.65.0 CPython/3.8.10

File hashes

Hashes for fishfeats-1.3.2-py3-none-any.whl
Algorithm Hash digest
SHA256 5d577442614e4ecff3f0c9d924ff1f1c05650f2169aa15309fa427e4c3712d9a
MD5 48c46891698c1b4ffe919d334795edc6
BLAKE2b-256 7ed72dbc91e8193da2ad8a494964c3b5759a9bad66cacd7c462b7133fea94f16

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page