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A plugin to analyse point spread functions (PSFs).

Project description

napari-psf-analysis

License PyPI Python Version tests codecov napari hub

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 Analyis

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.

For the demo gif above the following table is saved:

ImageName Date Microscope Magnification NA Amplitude Background X Y Z FWHM_X FWHM_Y FWHM_Z PrincipalAxis_1 PrincipalAxis_2 PrincipalAxis_3 SignalToBG XYpixelsize Zspacing cov_xx cov_xy cov_xz cov_yy cov_yz cov_zz sde_peak sde_background sde_X sde_Y sde_Z sde_cov_xx sde_cov_xy sde_cov_xz sde_cov_yy sde_cov_yz sde_cov_zz Comment PSF_path
100x_1_conf488Virtex.tif 2022-03-03 Microscope 100 1.4 5169.285944782688 110.18242108419038 2605.150064016795 2778.5159415714847 2223.0135754293333 205.83948141718292 193.26935441526453 673.333737589546 673.8395142125338 204.76810910270055 192.64368202154003 46.91570482765882 65.0 200.0 7640.8541537792735 -13.739986414927806 2461.133326066555 6736.131301493249 -1761.0316747094355 81760.83213128973 6.07230627881135 0.0428908418118399 0.0918331172590858 0.08622431079805634 0.30039707647545805 16.058330709118493 10.658894965304015 37.31418836385325 14.157198228507017 34.96459026793594 171.82884173452643 This is a demo. ./100x_1_conf488Virtex.tif_Bead_X2605.2_Y2778.5_Z2223.0.png
100x_1_conf488Virtex.tif 2022-03-03 Microscope 100 1.4 6135.157449356215 110.45693133711426 2579.1750636343136 2665.971138363623 2236.556334604507 210.3414510686511 197.70468562397645 688.7450949822045 689.0569862986882 209.38893767869146 197.62898832950918 55.543435573379554 65.0 200.0 7978.739450747766 71.03860432658904 2445.186895806542 7048.853370163676 194.33624544039762 85546.37080807924 6.427131015205848 0.04702336845023734 0.08368900397680192 0.0786607859867236 0.2740328722683267 14.954667965040326 9.937027929319177 34.76778883464614 13.21218589548314 32.53756104188376 160.34176367808521 This is a demo. ./100x_1_conf488Virtex.tif_Bead_X2579.2_Y2666.0_Z2236.6.png
100x_1_conf488Virtex.tif 2022-03-03 Microscope 100 1.4 5622.117168996411 110.12846686628077 2387.1094900635194 2575.7229681487956 2280.3111520343996 214.6603075814513 210.29252188934618 707.5199298039764 708.9044265632655 211.44593966381632 208.88171792203815 51.05053515203157 65.0 200.0 8309.75169186637 216.78540934275736 4866.991328053463 7975.027887810296 2320.8118890686897 90273.83813806984 6.840381484837519 0.052450225692372655 0.09919251952617283 0.09717397041964153 0.32694856225371205 18.089302104598307 12.53155240411209 42.809428898592365 17.360668540008014 41.444943537461285 196.52752653343444 This is a demo. ./100x_1_conf488Virtex.tif_Bead_X2387.1_Y2575.7_Z2280.3.png

With the three summary images:

summaries


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

python -m pip install "napari[all]"

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

conda deactivate
conda activate psf-analysis

python -m pip install "bfio[bioformats]"
python -m pip install "aicsimageio[all]"
python -m pip install napari-aicsimageio

3. Install napari-psf-analysis

You can install napari-psf-analysis via pip:

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.

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.

Project details


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