A Python/C++ library for the analysis of Differential Dynamic Microscopy experiments

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FastDDM

Python GitHub Actions PyPI Version Read the Docs License: GPL v3

FastDDM is a Python package for the analysis of microscopy image sequences using Differential Dynamic Microscopy on CPU and GPU. The features implemented are targeted at the experimental soft matter research community dealing with inert and active/biological samples.

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Example scripts

These examples demonstrate some of the Python API.

Calculation of the image structure function and its azimuthal average:

import fastddm as fddm

file_names = [...]  # define here your list of image file names
images = fddm.read_images(file_names)

pixel_size = 0.3  # um
frame_rate = 50  # frames per second

# compute image structure function and set experimental parameters
dqt = fddm.ddm(img_seq, range(1, len(img_seq)))
dqt.pixel_size = pixel_size
dqt.set_frame_rate(frame_rate)

# compute the azimuthal average
aa = fddm.azimuthal_average(dqt, bins=dqt.shape[-1] - 1, range=(0.0, dqt.ky[-1]))

Contributing to FastDDM

Contributions are welcome via pull requests after agreeing to the Contributors' Agreement. Please, refer to the Developers' section in the documentation.

Please, report bugs and suggest features via the issue tracker.

Citing FastDDM

Please, cite this publication in every work that uses FastDDM:

Enrico Lattuada, Fabian Krautgasser, Maxime Lavaud, Fabio Giavazzi, Roberto Cerbino
The Hitchhiker’s guide to differential dynamic microscopy
J. Chem. Phys. 28 October 2025; 163 (16): 161501
https://doi.org/10.1063/5.0289471

License

FastDDM is available under the GNU GPL-3.0 license.

Acknowledgements

  • The fftw-3.3.10 library is included in the source tree.
  • This project was funded by the Austrian Science Fund (FWF), Grant Number M 3250-N.

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