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By combining detailed imaging measurements at different tilt angles with simulations of ray emission from prolate deformed lasing micro-droplets, we conclude that the probability density for the lasing modes in a three-dimensional…

While neural representations for static 3D shapes are widely studied, representations for deformable surfaces are limited to be template-dependent or lack efficiency. We introduce Canonical Deformation Coordinate Space (CaDeX), a unified…

Computer Vision and Pattern Recognition · Computer Science 2022-03-31 Jiahui Lei , Kostas Daniilidis

Materials modelling and processing require experiments to visualize and quantify how external excitations drive the evolution of deep subsurface structure and defects that determine properties. Today, 3D movies with ~100-nm resolution of…

Spectral CT is an emerging modality that uses a data acquisition scheme with varied spectral responses to provide enhanced material discrimination in addition to the structural information of conventional CT. Existing clinical and…

Medical Physics · Physics 2020-10-16 Matthew Tivnan , Wenying Wang , Steven Tilley , Jeffrey H. Siewerdsen , J. Webster Stayman

X-ray spectroscopy is one of the most powerful tools to access structure and properties of matter in different states of aggregation as it allows to trace atomic and molecular energy levels in course of various physical and chemical…

Chemical Physics · Physics 2019-06-12 Sergey I. Bokarev , Oliver Kühn

Recent research in computational imaging largely focuses on developing machine learning (ML) techniques for image reconstruction, which requires large-scale training datasets consisting of measurement data and ground-truth images. However,…

Image and Video Processing · Electrical Eng. & Systems 2023-09-26 Maximilian B. Kiss , Sophia B. Coban , K. Joost Batenburg , Tristan van Leeuwen , Felix Lucka

We derive computed tomography (CT) of a time-varying volumetric translucent object, using a small number of moving cameras. We particularly focus on passive scattering tomography, which is a non-linear problem. We demonstrate the approach…

Computer Vision and Pattern Recognition · Computer Science 2020-12-08 Roi Ronen , Yoav Y. Schechner , Eshkol Eytan

Dendritic microstructures are ubiquitous in nature and are the primary solidification morphologies in metallic materials. Techniques such as x-ray computed tomography (XCT) have provided new insights into dendritic phase transformation…

Computer Vision and Pattern Recognition · Computer Science 2022-05-04 Jim James , Nathan Pruyne , Tiberiu Stan , Marcus Schwarting , Jiwon Yeom , Seungbum Hong , Peter Voorhees , Ben Blaiszik , Ian Foster

Estimating the shape and motion state of the myocardium is essential in diagnosing cardiovascular diseases.However, cine magnetic resonance (CMR) imaging is dominated by 2D slices, whose large slice spacing challenges inter-slice shape…

Computer Vision and Pattern Recognition · Computer Science 2023-08-29 Xiaohan Yuan , Cong Liu , Yangang Wang

Ptychography has become prominent at synchrotron facilities worldwide for characterizing biological and material specimens' topological structures and properties at the nanometer or atomic scale, due to its lens - less, highly quantitative…

Image and Video Processing · Electrical Eng. & Systems 2025-01-28 Tao Liu , Bingyang Wang , JiangTao Zhao , Maik Kahnt , Fucai Zhang

Metasurfaces advanced the field of optics by reducing the thickness of optical components and merging multiple functionalities into a single layer device. However, this generally comes with a reduction in performance, especially for…

We study 3D chaotic dynamics through an analysis of transport in a granular flow in a half-full spherical tumbler rotated sequentially about two orthogonal axes (a bi-axial "blinking" tumbler). The flow is essentially quasi-2D in any…

Dynamical Systems · Mathematics 2014-07-02 Ivan C. Christov , Richard M. Lueptow , Julio M. Ottino , Rob Sturman

X-ray scattering has been an indispensable tool in advancing our understanding of matter, from the first evidence of the crystal lattice to recent discoveries of nuclei's fastest dynamics. In addition to the lattice, ultrafast resonant…

Cryo-electron tomography (Cryo-ET) is a 3D imaging technique that enables the systemic study of shape, abundance, and distribution of macromolecular structures in single cells in near-atomic resolution. However, the systematic and efficient…

Biomolecules · Quantitative Biology 2021-06-29 Kai Yi , Jianye Pang , Yungeng Zhang , Xiangrui Zeng , Min Xu

The regular and chaotic character of orbits is investigated in a 3D potential describing motion in the central parts of a barred galaxy. This potential is an extension in the 3D space of a 2D potential based on a family of figure-eight…

Astrophysics of Galaxies · Physics 2012-04-03 Nicolaos D. Caranicolas , Euaggelos E. Zotos

Differential evolution indicators are introduced for 3D spatiotemporal imaging of micromechanical processes in complex materials where progressive variations due to manufacturing and/or aging are housed in a highly scattering background of…

Numerical Analysis · Mathematics 2019-12-16 Fatemeh Pourahmadian , Houssem Haddar

We propose a framework to jointly determine the deformation parameters and reconstruct the unknown volume in electron cryotomography (CryoET). CryoET aims to reconstruct three-dimensional biological samples from two-dimensional projections.…

Image and Video Processing · Electrical Eng. & Systems 2023-10-17 Valentin Debarnot , Sidharth Gupta , Konik Kothari , Ivan Dokmanic

Fragmentation and breakage of rocks is essential to iron ore mining and extraction. The breakage energy requirements and resulting ore particle size and mineral distributions are key to understanding and optimising mining and processing…

Cone beam computed tomography (CBCT) is an important imaging technology widely used in medical scenarios, such as diagnosis and preoperative planning. Using fewer projection views to reconstruct CT, also known as sparse-view reconstruction,…

Image and Video Processing · Electrical Eng. & Systems 2024-06-07 Yiqun Lin , Jiewen Yang , Hualiang Wang , Xinpeng Ding , Wei Zhao , Xiaomeng Li

The present study presents a simple but effective method for 3D visualization of the two-phase flow in the micro-tube. An isosceles right-angle prism combined with a mirror located 45^o bevel to the prism is employed to obtain synchronously…

Fluid Dynamics · Physics 2009-07-12 X. Fu , P. Zhang , H. Hu , C. J. Huang , Y. Huang , R. Z. Wang
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