fishfeats

Napari plugin for RNA-Fish+cells analysis pipeline

  • Gaëlle Letort

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.

Version:

  • 1.3.3

Last updated:

  • 2025-11-26

First released:

  • 2025-08-19

License:

  • BSD 3-Clause

Supported data:

  • Information not submitted

Plugin type:

Open extension:

Save extension:

Python versions supported:

Operating system:

  • Information not submitted

Requirements:

  • big-fish>=0.6.2
  • pyqt5
  • imaris-ims-file-reader
  • czifile
  • tifffile
  • munkres
  • matplotlib
  • scikit-image
  • lxml
  • packaging
  • cellpose[distributed]
  • stardist
  • opencv-python-headless<4.12; python_version < "3.11"
  • pyqt6<6.10; python_version < "3.11"
  • epyseg; python_version < "3.11"
  • tensorflow<2.15; python_version < "3.11"
  • napari<0.6.4; python_version < "3.11"
  • numpy<=1.26; python_version < "3.11"
  • opencv-python-headless; python_version >= "3.11"
  • tensorflow; python_version >= "3.11"
  • napari; python_version >= "3.11"
  • numpy; python_version >= "3.11"
Website by the napari team, original design by CZI. Go to napari main website.