Napari plugin for Spotiflow, a deep learning-based, threshold-agnostic, and subpixel-accurate spot detection method for 2D and 3D fluorescence microscopy images. The plugin allows using several pre-trained models as well as user-trained ones. For the main repository, see here.
napari_spotiflow.mp4
If you use this plugin for your research, please cite us.
The plugin can be installed directly from PyPi (make sure you use a conda environment with napari and spotiflow installed):
pip install napari-spotiflow
- 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
- 2D (YX, YXC or CYX)
- 2D+t (TYX, TYXC or TCYX)
- 3D (ZYX, ZYXC or CZYX)
- 3D+t (TZYX, TZYXC or TCZYX)