Skip to main content

Small Fish is a python application for the analysis of smFish images. It provides a ready to use graphical interface to combine famous python packages for cell analysis without any need for coding.

Project description

Small Fish

Small Fish is a python application for the analysis of smFish images. It provides a ready to use graphical interface to combine famous python packages for cell analysis without any need for coding.

Cell segmentation is peformed using cellpose (published work) : https://github.com/MouseLand/cellpose

Spot detection is performed via big-fish (published work) : https://github.com/fish-quant/big-fish

Time stacks are not supported.

Installation

It is higly recommanded to create a specific conda or virtual environnement to install small fish.

conda create -n small_fish python=3.8
activate small_fish

Then download the small_fish package :

pip install small_fish

(Recommended) Results visualisation is achieved through Napari which you can install with :

pip install napari[all]

Run Small fish

First activate your python environnement :

activate small_fish

Then launch Small fish :

python -m small_fish

Developpement

Optional features to include in future versions :

  • time stack (which would include cell tracking)

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

small_fish_gui-2.0.1.tar.gz (4.5 MB view details)

Uploaded Source

Built Distribution

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

small_fish_gui-2.0.1-py3-none-any.whl (4.5 MB view details)

Uploaded Python 3

File details

Details for the file small_fish_gui-2.0.1.tar.gz.

File metadata

  • Download URL: small_fish_gui-2.0.1.tar.gz
  • Upload date:
  • Size: 4.5 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.9

File hashes

Hashes for small_fish_gui-2.0.1.tar.gz
Algorithm Hash digest
SHA256 a8cde909cad229037b1beb4e52f3164f6c00761efdee9cff393d782116c20be3
MD5 296829cbd09c078cc0e8e9bb4d87deb2
BLAKE2b-256 06fd8f64428fa9950e374f2dd88460470d3d7d21c10c9218f58f0b5c01506b09

See more details on using hashes here.

File details

Details for the file small_fish_gui-2.0.1-py3-none-any.whl.

File metadata

  • Download URL: small_fish_gui-2.0.1-py3-none-any.whl
  • Upload date:
  • Size: 4.5 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.9

File hashes

Hashes for small_fish_gui-2.0.1-py3-none-any.whl
Algorithm Hash digest
SHA256 8062ee1e6aaeffaf945ff797d3d1226d28458dc29aaf372053f54eeedb5b79dd
MD5 2294a820acb33ae5d7a71b9ec56dbb89
BLAKE2b-256 9463e9c10a2380a4c5b8ef6f2d99b5841c97681c607280aec2a46fa2d4f43420

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