[HTML][HTML] Breaking barriers in cancer management: The promising role of microsphere conjugates in cancer diagnosis and therapy
Cancer is a significant worldwide health concern, and there is a demand for ongoing
breakthroughs in treatment techniques. Microspheres are among the most studied drug …
breakthroughs in treatment techniques. Microspheres are among the most studied drug …
[HTML][HTML] 3D-measurement of particles and particulate assemblies-a review of the paradigm shift in describing anisotropic particles
X Jia, RA Williams - Powder Technology, 2024 - Elsevier
The goal of seeking advanced solutions to the descriptions of particle shape, packing and
tomographic measurement were key areas promoted by Professor Reg Davies. In this paper …
tomographic measurement were key areas promoted by Professor Reg Davies. In this paper …
Automatic determination of 3D particle morphology from multiview images using uncertainty‐evaluated deep learning
H Liu, H Su, B Sheil - Computer‐Aided Civil and Infrastructure …, 2025 - Wiley Online Library
Particle morphology is a crucial factor influencing the mechanical properties of granular
materials particularly in infrastructure construction processes where accurate shape …
materials particularly in infrastructure construction processes where accurate shape …
Measuring Spherical and Nonspherical Binary Particles: Mixing and Segregation in a Rotating Drum Using Machine Learning-Assisted Image Processing
J Dai, H Xu, Y Gao, J Yu, X Gao - Industrial & Engineering …, 2024 - ACS Publications
Rotating drum experiments on binary mixtures of plastic spheres with wood spheres, wood
cylinders, plastic cylinders, and wood cubes were investigated, respectively. A high …
cylinders, plastic cylinders, and wood cubes were investigated, respectively. A high …
[HTML][HTML] Coupled numerical simulation of the drying and calendering for Lithium-ion battery anodes with non-spherical particles
M Lippke, C Willuhn, T Ohnimus, T Heckmann… - Powder Technology, 2025 - Elsevier
As the drying and calendering processes are crucial to the resulting electrode microstructure
and, therefore, electrode performance, various approaches have been developed for …
and, therefore, electrode performance, various approaches have been developed for …
[HTML][HTML] VOX-STORM: A stochastic 3D model based on a dual voxel-mesh architecture for the morphological characterization of aggregates
L Théodon, J Debayle, C Coufort-Saudejaud - Powder Technology, 2024 - Elsevier
Measuring the 3D morphological properties of granular objects such as aggregates is a
critical issue in many fields of science and industry, especially when the objects are fragile …
critical issue in many fields of science and industry, especially when the objects are fragile …
[HTML][HTML] Feature extraction of particle morphologies of pharmaceutical excipients from scanning electron microscope images using convolutional neural networks
Scanning electron microscopy (SEM) images are the most widely used tool for evaluating
particle morphology; however, quantitative evaluation using SEM images is time-consuming …
particle morphology; however, quantitative evaluation using SEM images is time-consuming …
A novel 3D reconstruction method of blast furnace burden surface based on virtual camera array
Abstract Accurate three-dimensional (3D) blast furnace burden surface topography is crucial
for optimizing material distribution and furnace operation. However, harsh conditions within …
for optimizing material distribution and furnace operation. However, harsh conditions within …
[HTML][HTML] Correlation of 2D and 3D particle properties with simulated particle imaging dataset
T Buchwald, R Ditscherlein, UA Peuker - Particuology, 2025 - Elsevier
Particle size and shape characteristics are commonly measured with two-dimensional (2D)
imaging techniques, two of which are static or dynamic imaging techniques. These 2D …
imaging techniques, two of which are static or dynamic imaging techniques. These 2D …
Using convolutional neural networks for stereological characterization of 3D hetero-aggregates based on synthetic STEM data
The 3D nano/microstructure of materials can significantly influence their macroscopic
properties. In order to enable a better understanding of such structure-property relationships …
properties. In order to enable a better understanding of such structure-property relationships …