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Increased performance in DDM analysis by calculating structure functions through Fourier transform in time by Norouzisadeh, M.; Cerchiari, G.; Croccolo, F. is a scholarly article available to read on EtoBox.

What is Increased performance in DDM analysis by calculating structure functions through Fourier transform in time about?

Differential Dynamic Microscopy (DDM) is the combination of optical microscopy to statistical analysis to obtain information about the dynamical behaviour of a variety of samples spanning from soft matter physics to biology. In DDM, the dynamical evolution of the samples is investigated separately at different length scales and extracted from a set of images recorded at different times. A specific result of interest is the structure function that can be computed via spatial Fourier transforms and differences of signals. In this work, we present an algorithm to efficiently process a set of images according to the DDM analysis scheme. We bench-marked the new approach against the state-of-the-art algorithm reported in previous work. The new implementation computes the DDM analysis faster, thanks to an additional Fourier transform in time instead of performing differences of signals. This allows obtaining very fast analysis also in CPU based machine. In order to test the new code, we performed the DDM analysis over sets of more than 1000 images with and without the help of GPU hardware acceleration. As an example, for images of $512 \times 512$ pixels, the new algorithm is 10 times fas

Author

Norouzisadeh, M.; Cerchiari, G.; Croccolo, F.

Published

2020

Language

EN