Point Spread Function calculations for fluorescence microscopy
Psf is a Python library to calculate Point Spread Functions (PSF) for fluorescence microscopy.
The psf library is no longer actively developed.
- Author:
- License:
BSD-3-Clause
- Version:
2026.8.8
Quickstart
Install the psf package and all dependencies from the Python Package Index:
python -m pip install -U "psf[all]"
See Examples for using the programming interface.
Source code and support are available on GitHub.
Requirements
This revision was tested with the following requirements and dependencies (other versions may work):
CPython 3.12.10, 3.13.15, 3.14.7, 3.15.0rc 64-bit
Numpy 2.5.2
Matplotlib 3.11.1 (optional for plotting)
Revisions
2026.8.8
Make C extension ABI3 and free-threading compatible.
Drop support for Python 3.11 and numpy 2.0 (SPEC0).
Support Python 3.15.
2026.1.18
Use multi-phase initialization.
Improve code quality.
2025.8.1
Drop support for Python 3.10, support Python 3.14.
2025.1.1
Improve type hints.
Drop support for Python 3.9, support Python 3.13.
2024.5.24
Fix docstring examples not correctly rendered on GitHub.
2024.4.24
Support NumPy 2.
2024.1.6
…
Refer to the CHANGES file for older revisions.
References
Electromagnetic diffraction in optical systems. II. Structure of the image field in an aplanatic system. B Richards and E Wolf. Proc R Soc Lond A, 253 (1274), 358-379, 1959.
Focal volume optics and experimental artifacts in confocal fluorescence correlation spectroscopy. S T Hess, W W Webb. Biophys J (83) 2300-17, 2002.
Electromagnetic description of image formation in confocal fluorescence microscopy. T D Viser, S H Wiersma. J Opt Soc Am A (11) 599-608, 1994.
Photon counting histogram: one-photon excitation. B Huang, T D Perroud, R N Zare. Chem Phys Chem (5), 1523-31, 2004. Supporting information: Calculation of the observation volume profile.
Gaussian approximations of fluorescence microscope point-spread function models. B Zhang, J Zerubia, J C Olivo-Marin. Appl. Optics (46) 1819-29, 2007.
The SVI-wiki on 3D microscopy, deconvolution, visualization and analysis. https://svi.nl/NyquistRate
Examples
>>> import psf
>>> args = dict(
... shape=(32, 32),
... dims=(4, 4),
... ex_wavelen=488,
... em_wavelen=520,
... num_aperture=1.2,
... refr_index=1.333,
... pinhole_radius=0.55,
... pinhole_shape='round',
... )
>>> obsvol = psf.PSF(psf.GAUSSIAN | psf.CONFOCAL, **args)
>>> obsvol.sigma.ou
(2.588..., 1.370...)
>>> obsvol = psf.PSF(psf.ISOTROPIC | psf.CONFOCAL, **args)
>>> print(obsvol, end='')
PSF
ISOTROPIC|CONFOCAL
shape: (32, 32) pixel
dimensions: (4.00, 4.00) um, (55.64, 61.80) ou, (8.06, 8.06) au
excitation wavelength: 488.0 nm
emission wavelength: 520.0 nm
numeric aperture: 1.20
refractive index: 1.33
half cone angle: 64.19 deg
magnification: 1.00
underfilling: 1.00
pinhole radius: 0.550 um, 8.498 ou, 1.1086 au, 4.40 px
computing time: ... ms
>>> obsvol[0, :3]
array([1. , 0.51071, 0.04397])
>>> # write the image plane to file
>>> obsvol.slice(0).tofile('_test_slice.bin')
>>> # write a full 3D PSF volume to file
>>> obsvol.volume().tofile('_test_volume.bin')
Refer to psf_example.py in the source distribution for more examples.
Metadata
Release files for psf 2026.8.8
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| psf-2026.8.8.tar.gz | 29.0 kB | Without provenance | Details for psf-2026.8.8.tar.gz |
Built distributions (wheels)
Total release size: 983.0 kB
Release files / psf-2026.8.8.tar.gz
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No |
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twine/7.0.0 CPython/3.14.7
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Release files / psf-2026.8.8-cp312-abi3-macosx_11_0_arm64.whl
| Download URL | psf-2026.8.8-cp312-abi3-macosx_11_0_arm64.whl |
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| Size | 32.0 kB |
| Tags | CPython 3.12 abi3 macOS 11.0+ ARM64 |
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No |
| Uploaded via |
twine/7.0.0 CPython/3.14.7
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Release files / psf-2026.8.8-cp312-abi3-macosx_10_13_x86_64.whl
| Download URL | psf-2026.8.8-cp312-abi3-macosx_10_13_x86_64.whl |
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| Size | 31.1 kB |
| Tags | CPython 3.12 abi3 macOS 10.13+ x86-64 |
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No |
| Uploaded via |
twine/7.0.0 CPython/3.14.7
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Security for psf 2026.8.8
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