Quantitative comparison of segmentation algorithms for FIB-SEM images of porous media.

Focused ion beam tomography has proven to be capable of imaging porous structures on a nano-scale. However, due to shine-through artefacts, common segmentation algorithms often lead to severe dislocation of individual structures in z-direction. Recently, a number of approaches have been developed, which take into account the specific nature of focused ion beam-scanning electron microscope images for porous media.

Morphological segmentation of FIB-SEM data of highly porous media.

Nanoporous materials play an important role in modern batteries as well as fuel cells. The materials microstructure needs to be analyzed as it determines the electrochemical properties. However, the microstructure is too fine to be resolved by microcomputed tomography.

Simulation of FIB-SEM images for analysis of porous microstructures.

Focused ion beam nanotomography-scanning electron microscopy tomography yields high-quality three-dimensional images of materials microstructures at the nanometer scale combining serial sectioning using a focused ion beam with SEM. However, FIB-SEM tomography of highly porous media leads to shine-through artifacts preventing automatic segmentation of the solid component. We simulate the SEM process in order to generate synthetic FIB-SEM image data for developing and validating segmentation methods.

New methods in ambulatory blood pressure monitoring: interactive monitoring and detection of posture and movement patterns.

Psychophysiological monitoring can be used to assess emotional reactivity in cardiovascular measures. Since blood pressure (BP) variability in daily life is primarily caused by physical activity, metabolic and nonmetabolic effects are confounded. A newly developed method of multiple accelerometry allows for the control of such unwanted variances by continuously detecting posture, general activity, and distinct movement patterns.

Simultaneous assessment of posture and limb movements (e.g., periodic leg movements) with calibrated multiple accelerometry.

This study describes new applications for the method of calibrated multiple accelerometry, which detects posture and distinct motion patterns, and limb movements continuously. The aim of our study was to evaluate this assessment technique in terms of its suitability for exploring the relationships between pathological limb movement activity (e.g.