napari_psf_analysis

napari-psf-analysis

A plugin to analyse point spread functions (PSFs).

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This napari plugin was generated with Cookiecutter using @napari's cookiecutter-napari-plugin template.


application_screenshot

A plugin to analyse point spread funcitons (PSFs) of optical systems.

Usage

Starting Point

To run a PSF analysis open an image of acquired beads. Add a point-layer and indicate the beads you want to measure by adding a point.

Run Analysis

Open the plugin (Plugins > napari-psf-analysis > PSF Analysis) and ensure that your bead image and point layers are select in the Basic tab under Image and Points respectively. In the Advanced tab further information can be provided. Only the filled in fields of the Advanced tab are saved in the output.

After verifying all input fields click Extract PSFs.

Discard and Save Measurement

Once the PSF extraction has finished a new layer (Analyzed Beads) appears, holding a summary image for every selected bead. Individual summaries can be discarded by clicking the Delete Displayed Measurement button.

Results are saved to the selected Save Dir by clicking the Save Measurements button.

Note: Beads for which the bounding box does not fit within the image are automatically excluded from the analysis and no output is generated.

Saved Data

Every image of the Analyzed Beads layer is saved as {source_image_name}_X {bead-centroid-x}_Y{bead-centroid-y}_Z{bead-centroid-z}.png file. Additionally a PSFMeasurement_{source_image_acquisition_date}_ {source_image_name}_{microscope_name}_{magnification}_{NA}.csv file is stored containing the measured values and all filled in fields.


Installation

We recommend installation into a fresh conda environment.

1. Install napari

conda create -y -n psf-analysis -c conda-forge python=3.9

conda activate psf-analysis

conda install -c conda-forge napari pyqt

2. Install napari-aicsimageio and bioformats

Required if you want to open other files than .tif e.g. .stk. .

Note: See napari-aicsimageio for more information about opening images.

conda install -c conda-forge openjdk bioformats_jar "aicsimageio[all]" napari-aicsimageio

conda deactivate
conda activate psf-analysis

3. Install napari-psf-analysis

You can install napari-psf-analysis via pip:

python -m pip install xmlschema
python -m pip install napari-psf-analysis

4. Optional Set Config

You can provide a config yaml file with the available microscope names and a default save directory. This will change the Microscope text field to a drop down menu and change the default save directory.

example_config.yaml

microscopes:
  - TIRF
  - Zeiss Z1
output_path: "D:\\psf_analysis\\measurements"

To use this config navigate to Plugins > napari-psf-analysis > Set Config and select the config file.

Note: The save path is OS specific.

5. Desktop Icon for Windows

Follow these instructions by Robert Haase.

Contributing

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.

License

Distributed under the terms of the BSD-3 license, "napari-psf-analysis" is free and open source software

Issues

If you encounter any problems, please file an issue along with a detailed description.

Version:

  • 1.1.3

Last updated:

  • 29 April 2024

First released:

  • 30 March 2022

License:

Supported data:

  • Information not submitted

Plugin type:

GitHub activity:

  • Stars: 7
  • Forks: 3
  • Issues + PRs: 6

Python versions supported:

Operating system:

Requirements:

  • bfio
  • matplotlib
  • matplotlib-scalebar
  • napari
  • numpy
  • pandas
  • scikit-image