Napari plugin for Spotiflow
Project description
Spotiflow: napari plugin
Napari plugin for Spotiflow, a deep learning-based, threshold-agnostic, and subpixel-accurate spot detection method for fluorescence microscopy. The plugin allows using several pre-trained models as well as user-trained ones. For the main repository, see here.
https://github.com/weigertlab/napari-spotiflow/assets/11042162/02940480-daa9-4a21-8cf5-ad73c26c9838
If you use this plugin for your research, please cite us.
Installation
The plugin can be installed directly from PyPi (make sure you use a conda environment with napari and spotiflow installed):
pip install napari-spotiflow
Usage
- Open the image (or open one of our samples, e.g.
File > Open Sample > napari-spotiflow > HybISS) - Start the plugin
Plugins > napari-spotiflow - Select model (pre-trained or custom trained) and optionally adjust any other parameters
- Click
Run
Supported input formats
- 2D (YX, YXC or CYX)
- 2D+t (TYX, TYXC or TCYX)
How to cite
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