An extensive update to a classic text Stochastic geometry and spatial statistics play a
fundamental role in many modern branches of physics, materials sciences, engineering …

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Taking and analyzing images of materials' microstructures is essential for quality control,
choice and design of all kind of products. Today, the standard method still is to analyze 2D …

Glass films composed of 7μm spherical particles were deposited on rigid substrates and
sintered to different densities up to 98%. Synchrotron computed microtomography was used …

Purpose To propose a postprocessing technique that measures tumor surface with
insufficient ablative margins (≤ 5 mm) on magnetic resonance (MR) imaging to predict local …

We present transmission electron microscope (TEM) tomography investigations of ruthenium-
based fuel cell catalyst materials as employed in direct methanol fuel cells (DMFC). The …

Many important properties of particulate materials are heavily influenced by the size and
shape of the constituent particles. Thus, in order to control and improve product quality, it is …

This work focuses on a mesoporous material made up of nanometric alumina 'platelets' of
unknown shape. We develope a 3D random microstructure to model the porous material …

This paper presents new topological and geometric properties of Gauss digitizations of
Euclidean shapes, most of them holding in arbitrary dimension d. We focus on r-regular …

A novel and efficient quasi-Monte Carlo method for estimating the surface area of digitized
3D objects in the volumetric representation is presented. It operates directly on the original …