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A parameter to probe microdroplet dynamics and crystal nucleation
Author(s) -
Romain Grossier,
Victoria Tishkova,
R. Morin,
Stéphane Veesler
Publication year - 2018
Publication title -
aip advances
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.421
H-Index - 58
ISSN - 2158-3226
DOI - 10.1063/1.5034443
Subject(s) - nucleation , standard deviation , biological system , pixel , statistical physics , diffusion , materials science , dynamics (music) , measure (data warehouse) , chemical physics , optics , chemistry , physics , computer science , mathematics , thermodynamics , statistics , data mining , biology , acoustics
We present a simple and efficient digital-image processing method to simultaneously monitor the contraction of a statistically relevant number of microdroplets of the same size and the nucleation of single salt crystals inside. Each individual microdroplet image is reduced to a scalar, standard deviation sigma, and overall microdroplet dynamics is monitored using standard-deviation time-evolution plots. It is shown that this approach makes it possible to measure the nucleation time and also that microdroplets interact via water diffusion dynamics. This effect actually decreases the nucleation rate, contrary to previous findings. This " sigma approach " can be compared to recording the order parameter in phase transition, which makes it ideal for studying dynamics of systems where images are the primary outputs.

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