Skip to main content

Napari plugin for RNA-Fish+cells analysis pipeline

Project description

Fish&Feats snap

License BSD-3 PyPI Python Version

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

main.webm

FishFeats 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

Some options of Fishfeats rely on dependencies that are not required by default, so to not force a lot of dependencies installation. If you want to do directly the installation with all dependencies, type:

pip install `fishfeats[full]`

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.

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-1.2.0.tar.gz (118.0 kB view details)

Uploaded Source

Built Distribution

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

fishfeats-1.2.0-py3-none-any.whl (123.3 kB view details)

Uploaded Python 3

File details

Details for the file fishfeats-1.2.0.tar.gz.

File metadata

  • Download URL: fishfeats-1.2.0.tar.gz
  • Upload date:
  • Size: 118.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.0.0 CPython/3.10.0

File hashes

Hashes for fishfeats-1.2.0.tar.gz
Algorithm Hash digest
SHA256 8af648a90b85d08337e3d0788398ac96a806362cf895bc846ad49dcabebaf5d0
MD5 437546d71faa04e135f01303951dc204
BLAKE2b-256 e3e43e22f4dbb0df9abc9145cd7a9a509c4979cf3cf2f6a05acd3286ffc9bf21

See more details on using hashes here.

File details

Details for the file fishfeats-1.2.0-py3-none-any.whl.

File metadata

  • Download URL: fishfeats-1.2.0-py3-none-any.whl
  • Upload date:
  • Size: 123.3 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.0.0 CPython/3.10.0

File hashes

Hashes for fishfeats-1.2.0-py3-none-any.whl
Algorithm Hash digest
SHA256 a7cbcc540b6bd8a50879949f089ee779ef0a13cd85d302816a2e501bc74c5551
MD5 8ac357f76ad4a66451ace1658f616d23
BLAKE2b-256 1727d7d25fc3cc74f153c3be0f59ace51204967f498dcbd90fc0141ad4613ea2

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