Skip to main content

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. If you use it, please cite our paper: FishFeats: streamlined quantification of multimodal labeling at the single-cell level in 3D tissues.

Metadata

Release files for fishfeats 1.4.13

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for fishfeats 1.4.13
File Size Uploaded Provenance
fishfeats-1.4.13.tar.gz 142.4 kB Without provenance Details

Built distribution (wheel)

Table of built distributions (wheels) for fishfeats 1.4.13
File Interpreter ABI Platform
fishfeats-1.4.13-py3-none-any.whl Python 3 none any Details

Total release size: 291.1 kB

Release files / fishfeats-1.4.13.tar.gz

Download URL fishfeats-1.4.13.tar.gz
Size 142.4 kB
Tags Source
SHA-256 checksum
How to use checksums
bf603a8121f4a4d075301171d560b97b380acbaeb50c078b34ef7e29a4c70704
BLAKE2b-256 checksum
How to use checksums
e9b72291ee96404ad78ad9bb49d324cd7a956da02b9769bb252b54f6d7e7e2e0
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/5.0.0 CPython/3.12.3

Release files / fishfeats-1.4.13-py3-none-any.whl

Download URL fishfeats-1.4.13-py3-none-any.whl
Size 148.7 kB
Tags Python 3
SHA-256 checksum
How to use checksums
54ea7edb2c01548f65ad55c46d7ed5c370ea3bc0c9276f465548281baa60e924
BLAKE2b-256 checksum
How to use checksums
daabe04eab89171833abaeacc3c21de35bdb94fb67cb056cc1f4aed4ea899c2e
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/5.0.0 CPython/3.12.3

Security for fishfeats 1.4.13

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

No provenance found

None of the files in this release were uploaded with provenance metadata.

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

Release history Release notifications | RSS feed

This release

1.4.13 This release

2 release files No provenance

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page