Napari Phasors
A simple plugin to use phasor analysis
A simple plugin to do phasor analysis in napari. Based on the phasorpy library.
Usage¶
napari-phasors is composed of a few widgets that allow reading a few specific FLIM and hyperspectral file formats, perform phasor analysis, and display and export the results of manual phasor selections.
Sample Data¶
Two sample datasets for FLIM are provided, along with their corresponding calibration images. Additionally, a paramecium image is included as sample data for hyperspectral analysis.
Phasor Analysis¶
Plot FLIM Data¶
FLIM phasor data can be plotted as a 2D histogram or scatter plot. The colormap, the number of bins and the scale of the colors can be customized. Filtering and thresholding can also be applied to process phasor data and the mean intensity image.
Plot Hyperspectral Data¶
Hyperspectral phasor data can also be plotted as a 2D histogram or scatter plot and visualized in the full universal circle.
Apparent Lifetime Display¶
A FLIM image can be colormapped according to the phase or modulation apparent lifetime. A histogram is also created for visualization of the distribution of apparent lifetimes of the FLIM image.
Phasor Calibration¶
FLIM images can be calibrated using a reference image acquired under the same experimental parameters. This reference image should consist of a homogeneous solution of a fluorophore with a known fluorescence lifetime and the laser frequency used in the experiment. This ensures accuracy and consistency in lifetime measurements.
Phasor Custom Import¶
Supported file formats (.tif
, .ptu
, .sdt
, .fbd
, .lsm
, .ome.tif
) can be read and transformed to the phasor space. Additional options, such as the harmonics, channels and frames, can be specified depending on the file format to be read.
Phasor Export¶
The average intensity image and the phasor coordinates can be exported as OME-TIF files that can be read by napari-phasors and PhasorPy. Alternatively, the phasor coordinates, as well as the selections (cursors) can be exported as a CSV file.
Installation¶
You can install napari-phasors
via pip. Follow these steps from a terminal.
We recommend using miniforge
whenever possible. Click here to choose the right download option for your OS.
If you do not use miniforge
, but rather Anaconda or Miniconda, replace the mamba
term whenever you see it below with conda
.
Create a conda environment with napari by typing :
mamba create -n napari-phasors-env napari pyqt python=3.10
Activate the environment :
mamba activate napari-phasors-env
Install napari-phasors
via pip :
pip install napari-phasors
Alternatively, install latest development version with :
pip install git+https://github.com/napari-phasors/napari-phasors.git
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-phasors" is free and open source software
Issues¶
If you encounter any problems, please file an issue along with a detailed description.
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GitHub activity:
- Stars: 5
- Forks: 3
- Issues + PRs: 14