A5019785606- NMR spectroscopy and applications
- Machine Learning in Materials Science
- Electron and X-Ray Spectroscopy Techniques
- Advanced Neuroimaging Techniques and Applications
- Advanced Fluorescence Microscopy Techniques
- Material Dynamics and Properties
- Non-Destructive Testing Techniques
- Nanopore and Nanochannel Transport Studies
- Advanced NMR Techniques and Applications
- Force Microscopy Techniques and Applications
- Pickering emulsions and particle stabilization
- Cell Image Analysis Techniques
- Lattice Boltzmann Simulation Studies
- Diffusion and Search Dynamics
- Advanced Electron Microscopy Techniques and Applications
- Quantum Dots Synthesis And Properties
- Carbon and Quantum Dots Applications
- Spectroscopy Techniques in Biomedical and Chemical Research
- Ion-surface interactions and analysis
- Enhanced Oil Recovery Techniques
- Food composition and properties
- Advanced biosensing and bioanalysis techniques
- Surfactants and Colloidal Systems
- Neural Networks and Applications
- Microfluidic and Capillary Electrophoresis Applications
RISE Research Institutes of Sweden
2017-2023
Chalmers University of Technology
2011-2023
University of Gothenburg
2013-2023
University College London
2016-2017
Göteborgs Stads
2017
University of South Australia
2014-2016
Cell-derived membrane vesicles that are released in biofluids, like blood or saliva, emerging as potential non-invasive biomarkers for diseases, such cancer. Techniques capable of measuring the size and concentration directly biofluids urgently needed. Fluorescence single particle tracking microscopy has doing exactly by labelling with a fluorescent label analysing their Brownian motion biofluid. However, an unbound dye biofluid can cause high background intensity strongly biases...
Quantitative structure-property relationships are crucial for the understanding and prediction of physical properties complex materials. For fluid flow in porous materials, characterizing geometry pore microstructure facilitates permeability, a key property that has been extensively studied material science, geophysics chemical engineering. In this work, we study predictability different structural descriptors via both linear regressions neural networks. A large data set 30,000 virtual,...
Tomography using a focused ion beam (FIB) combined with scanning electron microscope (SEM) is well-established for wide range of conducting materials. However, performing FIB–SEM tomography on ion- and electron-beam-sensitive materials as well poorly soft remains challenging. Some common challenges include cross-sectioning artifacts, shadowing effects, charging. Fully dense provide planar cross section, whereas pores also expose subsurface areas the cross-section surface. The image intensity...
Effective properties of functional materials crucially depend on their 3D microstructure. In this paper, we investigate quantitative relationships between descriptors two-phase microstructures, consisting solid and pores mass transport properties. To that end, generate a vast database comprising 90,000 microstructures drawn from nine different stochastic models, compute effective diffusivity permeability as well various microstructural descriptors. the best our knowledge, is largest most...
Summary Combined focused ion beam and scanning electron microscope (FIB‐SEM) tomography is a well‐established technique for high resolution imaging reconstruction of the microstructure wide range materials. Segmentation FIB‐SEM data complicated due to number factors; most prominent that porous materials, image slices contain information not only from planar cross‐section material but also underlying, exposed subsurface pores. In this work, we develop segmentation method ethyl cellulose films...
Liposomes can efficiently deliver messenger RNA (mRNA) into cells. When mRNA cocktails encoding different proteins are needed, a considerable challenge is to all mRNAs the cytosol of each individual cell. In this work, two methods explored co-deliver varying ratiometric doses red (R) or green (G) fluorescent and it found that packaging same lipoplexes (mingle-lipoplexes) crucial multiple types cells according pre-defined ratio. A mixture containing only one type (single-lipoplexes), however,...
A new concept has been developed for characterizing the real-time evolution of three-dimensional pore and lamella microstructure bread during baking using synchrotron X-ray microtomography (SRµCT). commercial, combined microwave-convective oven was modified installed at TOMCAT tomography beamline Swiss Light Source (SLS), to capture 3D dough-to-bread structural development in-situ micrometer scale with an acquisition time 400 ms. This allowed characterization quantitative comparison three...
Fitting of the fluorescence lifetimes for fluorophores can be achieved using various techniques. Problems arise when fluorophore sample itself is heterogeneous and decay far from exponential, as a single may have distribution lifetimes. We study fitting two systems, homogeneous near-exponential fluorescein dye highly system graphene quantum dots. fit variety different models to experimental time-correlated photon counting data each system, evaluating validity model systems. find that, there...
Small-angle X-ray scattering (SAXS) is a useful technique for nanoscale structural characterization of materials. In SAXS, and spatial information indirectly obtained from the intensity in spectral domain, known as reciprocal space. Therefore, characterizing structure requires solving inverse problem finding plausible model that corresponds to measured intensity. Both choice computational workload parameter estimation are bottlenecks this process. work, we develop framework analysis SAXS...
The effects of carbon nanotube (CNT) length on the viscoelasticity and permeability buckypaper, composed (5,5) single-walled CNTs (SWCNTs), are systematically explored through large-scale coarse-grained molecular dynamics simulations. SWCNT is found to have a pronounced impact structure buckypapers. When SWCNTs short, they form short bundles be tightly packed, exhibit high density small pores, while long entangled together at low accompanied by large pores. These variations contribute...
Sustainable food production and consumption are currently key issues. About one third of produced for human is wasted. In developed countries, consumers responsible the largest amount waste throughout supply chain. The unwillingness to purchase consume suboptimal products an important cause waste, however, reasons behind this still insufficiently studied. Our research addresses question how combinations color, shape damage apples influence consumer liking perceived sensory attributes. a...
Abstract The three-dimensional microstructure of functional materials determines its effective properties, like the mass transport properties a porous material. Hence, it is desirable to be able tune by tuning accordingly. In this work, we study class spinodoid i.e. spinodal decomposition-like structures with tunable anisotropy, based on Gaussian random fields. These are realistic yet computationally efficient models for bicontinuous materials. We use convolutional neural network predicting...
Single-particle tracking (SPT) microscopy is increasingly used to characterize nanoparticulate systems. We introduce a concept for estimation of particle number concentration in Brownian dispersions using SPT based on model the trajectory length distribution particles estimate detection region volume. The resulting method independent precalibration reference measurements, and robust with respect image processing settings. Experimentally estimated concentrations different dilutions 0.19-...
We explore computational high-throughput screening as a design strategy for heterogeneous, isotropic fiber materials. Fluid permeability, key property in the of soft porous materials, is systematically studied using multi-scale lattice Boltzmann framework. After characterizing microscopic permeability function solid volume fraction microstructure, we perform excess 35 000 macrostructures consisting continuous bulk interrupted by spherical/elliptical domains with either lower or higher (hence...
Many products incorporate into their design fibrous material with particular levels of permeability as a way to control the retention and flow liquid. The production experimental testing these materials can be expensive time consuming, particularly if it needs optimised desired level absorbency. We consider parametric virtual fiber model replacement for real facilitate studying relationship between structure properties in cheaper more convenient manner. 3D image data sets sample are obtained...