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 yet 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 :
- batch processing
- time stack (which would include cell tracking)
- 3D segmentation
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Hashes for small_fish_gui-1.0.2-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | c65ef14b1316c3a5a302e6c350df011bb307f780fb998842342642bfee35181f |
|
MD5 | 6bae6e6e79a8312edc205a7861102a33 |
|
BLAKE2b-256 | 138011a9cea775078a9ffdc5a215a24d85f213d5ad513ff201dd782baaad4b9c |