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Mass fractal dimension from 2D-microscopy images via an aggregation model with variable compactness

Abstract : Microscopy-image analysis provides precious information on size and structure of colloidal aggregates and agglomerates. The structure of colloids is often characterized using the three-dimensional mass fractal dimension d3Df, which is different from the two dimensional fractal dimension d2Df that can be computed from microscopy-images. In this work we propose to use a recent morphological aggregation model to find a relationship between 2D image fractal dimension and 3D mass fractal dimension of aggregates and agglomerates. Our case study is represented by scanning transmission electron microscopy-images of boehmite colloidal suspensions. The behaviour of the computed d3Df at different acid and base concentration shows a fair agreement with the results of Small Angle X-Ray Scattering and with the literature, enabling to use the d3Df vs d2Df relationship to study the impact of the composition of the colloidal suspension on the density of colloidal aggregates and agglomerates .
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https://hal.archives-ouvertes.fr/hal-03224908
Contributor : Giulia Ferri Connect in order to contact the contributor
Submitted on : Wednesday, May 12, 2021 - 9:21:31 AM
Last modification on : Wednesday, November 17, 2021 - 12:27:19 PM
Long-term archiving on: : Friday, August 13, 2021 - 6:16:50 PM

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  • HAL Id : hal-03224908, version 1

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Giulia Ferri, Severine Humbert, Jean-Marc Schweitzer, Mathieu Digne, Veronique Lefebvre, et al.. Mass fractal dimension from 2D-microscopy images via an aggregation model with variable compactness. 2021. ⟨hal-03224908⟩

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