309 research outputs found
Extraction and characterization of candidate bioactive compounds in different tissues from salmon (Salmo salar)
3D Image Based Structural Analysis of Leather for Macroscopic Structure- Property Simulation
Content:
The intrinsic structure significantly influences the mechanical properties of leather. In consequence, knowledge of leather’s hierarchical structure is essential in order to find the most suited leather for specific
application. Leather structure based parameters are of major importance for both manufacturing and leather processing industries. In this respect, intensive structure investigations have been subjected in
continuous research work.
Quantitative image analysis combined with stochastic micro-structure modelling and numerical simulation of macroscopic properties is a promising approach to gain a deeper understanding of complex relations between material’s micro-structure geometry and macroscopic properties. Key ingredient is a reliable geometric description provided by the quantitative analysis of 3D images of the material micro-structures. For leather, both imaging and image analysis are particularly challenging, due to the multi-scale nature of the leather’s micro-structure. Scales in leather are not well separated. Previously, high resolution computed tomography allowed 3D imaging of purely vegetable tanned leather samples at micro- and submicro- scale. Segmentation of leather structure as well as of typical structural elements in resulting image data is however hampered by a strong heterogeneity caused by lower scale structural information.
The first method for automatic segmentation of typical structural elements at varying scales combined morphological smoothing with defining and iteratively coarsening regions using the waterfall algorithm on
local orientations. It yields a hierarchical segmentation of the leather into coarse and fine structural elements that can be used to analyze and compare the structure of leather samples. Size and shape of the
structural elements as well as their sub-structure yield information, e. g. on undulation, branching, thickness, cross-sectional shape, and preferred directions.
In order to compare the micro-structure of leather samples from various body parts or even species, the segmentation has to be applicable without extensive pre-processing and parameter tuning. Robustness can be gained by applying smoothing methods that are adapted to the goal of defining image regions by similar local orientation. The challenge is that the space of fiber orientations in 3D is not equipped with an order. Motivated by a recent approach for nevertheless defining erosion and dilation on the sphere, we suggest new definitions for these morphological base transformations on the space of directions in 3D. We present segmentation results for 3D images of leather samples derived by these new morphological smoothing methods.
Take-Away:
The intrinsic structure significantly influences the mechanical properties of leather.
Leather’s hierarchical structure can be analyzed by quantitative 3D image analysis combined with stochastic micro-structure modelling.
Segmentation results for 3D images of leather samples derived by new morphological smoothing methods
Arrested Cracks in Nonlinear Lattice Models of Brittle Fracture
We generalize lattice models of brittle fracture to arbitrary nonlinear force
laws and study the existence of arrested semi-infinite cracks. Unlike what is
seen in the discontinuous case studied to date, the range in driving
displacement for which these arrested cracks exist is very small. Also, our
results indicate that small changes in the vicinity of the crack tip can have
an extremely large effect on arrested cracks. Finally, we briefly discuss the
possible relevance of our findings to recent experiments.Comment: submitted to PRE, Rapid Communication
Highly Luminescent Transparent Cs2AgxNa1−xBiyIn1−yCl6 Perovskite Films Produced by Single-Source Vacuum Deposition
Thermal deposition of halide perovskites as a universal and scalable route to transparent thin films becomes highly challenging in the case of lead-free double perovskites, requiring the evaporation dynamics of multiple metal halide sources to be balanced or a single-phase precursor preliminary synthesized to achieve a reliable control over the composition and the phase of the final films. In the present Letter, the feasibility of the single-source vacuum deposition of microcrystalline Cs2AgxNa1-xBiyIn1-yCl6 double perovskites into corresponding transparent nanocrystalline films while preserving the bulk spectral and structural properties is shown. The perovskite films produced from the most emissive powders with x = 0.40 and y = 0.01 revealed a photoluminescence quantum yield of 85%, highlighting thermal evaporation as a promising approach to functional perovskite-based optical materials
Solid Oxide Electrolysis Cells: Microstructure and Degradation of the Ni/Yttria-Stabilized Zirconia Electrode
Characterization of different CTC subpopulations in non-small cell lung cancer
Circulating tumour cells (CTCs) serve as valuable biomarkers. However, EpCAM
positive CTCs are less frequently detected in NSCLC patients compared to other
epithelial tumours. First, EpCAM protein expression was analysed in primary
and metastatic lung cancer tissue. In both groups 21% of the samples were
EpCAM negative. Second, the CellSearch system identified 15% of patients (n =
48) as CTC positive whereas a multiplex RT-PCR for PIK3CA, AKT2, TWIST, and
ALDH1 following EGFR, HER2 and EpCAM based enrichment detected CTCs in 29% of
the patients. Interestingly, 86% of CTC positive patients were found to
express ALDH1. Only 11% of the patients were CTC-positive by both techniques.
CTC positivity was associated with patient disease state when assessed by the
multiplex RT-PCR assay (p = 0.015). Patients harbouring tumours with an
altered EGFR genotype were more frequently CTC-positive compared to patients
with EGFR wildtype tumours. In subsets of patients, CTCs were found to express
genes involved in resistance to therapy such as HER3 and MET. In conclusion,
using multiple targets for CTC capture and identification increases the
sensitivity of CTC detection in NSCLC patients, which can be explained by the
presence of different CTC subtypes with distinct molecular features
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