The PSF Generator Napari Plugin provides an intuitive, interactive platform for simulating Point Spread Functions (PSFs) directly within the Napari ecosystem. Built on PyTorch, this plugin supports both CPU and GPU-accelerated computations, ensuring fast and efficient simulations for fundamental and advanced optical modeling.
- Flexible Propagation Models: Scalar and vectorial propagators in Cartesian and spherical coordinates.
- Customizable Parameters: Configure physical (e.g., numerical aperture, wavelength), numerical (e.g., pixel size, Z-stacks), and optical settings (e.g., Gibson-Lanni corrections, Zernike aberrations).
- Real-Time Visualization: Seamless integration with Napari for immediate visual feedback.
- Versatile API: Access propagators programmatically for custom workflows.
- Image Export: Save computed PSFs in TIFF format.
This plugin is a powerful tool for researchers in optics, computational microscopy, and imaging science, bridging user-friendly interactivity with the computational capabilities of our Python library.
This napari plugin was generated with copier using the napari-plugin-template.
Set up a Python virtual environment and install napari following this guide.
You can install napari-psfgenerator via pip:
pip install napari-psfgenerator
To install latest development version :
pip install git+https://github.com/Biomedical-Imaging-Group/napari-psfgenerator.git
Now you can try the plugin out! Open napari, click on the menu "Plugins" and select "Propagators (PSF Generator)".
Contributions are very welcome. Tests can be run with tox, please ensure the coverage at least stays the same before you submit a pull request.
Distributed under the terms of the MIT license, "napari-psfgenerator" is free and open source software
If you encounter any problems, please file an issue along with a detailed description.