Towards full-stack deep learning-empowered data processing pipeline for synchrotron tomography experiments

Z Zhang, C Li, W Wang, Z Dong, G Liu, Y Dong… - The Innovation, 2023 - Elsevier
Synchrotron tomography experiments are transitioning into multi-functional, cross-scale and
dynamic characterizations, enabled by new generation synchrotron light sources and fast …

[PDF][PDF] Upscaling X-ray nanoimaging to macroscopic specimens

M Du, Z Di, D Gürsoy, RP Xian… - Journal of applied …, 2021 - journals.iucr.org
Upscaling X-ray nanoimaging to macroscopic specimens has the potential for providing
insights across multiple length scales, but its feasibility has long been an open question. By …

Alignment methods for nanotomography with deep subpixel accuracy

M Odstrčil, M Holler, J Raabe, M Guizar-Sicairos - Optics Express, 2019 - opg.optica.org
As the resolution of X-ray tomography improves, the limited long-term stability and accuracy
of nanoimaging tools does not allow computing artifact-free three-dimensional (3D) …

Adorym: A multi-platform generic X-ray image reconstruction framework based on automatic differentiation

M Du, S Kandel, J Deng, X Huang, A Demortiere… - Optics express, 2021 - opg.optica.org
We describe and demonstrate an optimization-based X-ray image reconstruction framework
called Adorym. Our framework provides a generic forward model, allowing one code …

[PDF][PDF] Tomosaic: efficient acquisition and reconstruction of teravoxel tomography data using limited-size synchrotron X-ray beams

R Vescovi, M Du, V Andrade, W Scullin… - Journal of …, 2018 - journals.iucr.org
X-rays offer high penetration with the potential for tomography of centimetre-sized
specimens, but synchrotron beamlines often provide illumination that is only millimetres …

A deep learning approach for semantic segmentation of unbalanced data in electron tomography of catalytic materials

A Genc, L Kovarik, HL Fraser - Scientific Reports, 2022 - nature.com
In computed TEM tomography, image segmentation represents one of the most basic tasks
with implications not only for 3D volume visualization, but more importantly for quantitative …

Ab initio nonrigid X-ray nanotomography

M Odstrcil, M Holler, J Raabe, A Sepe, X Sheng… - Nature …, 2019 - nature.com
Reaching the full potential of X-ray nanotomography, in particular for biological samples, is
limited by many factors, of which one of the most serious is radiation damage. Although …

[HTML][HTML] A general image misalignment correction method for tomography experiments

Z Zhang, Z Dong, H Yan, A Pattammattel, X Bi, Y Dong… - Iscience, 2023 - cell.com
Tomography experiments generate three-dimensional (3D) reconstructed slices from a
series of two-dimensional (2D) projection images. However, the mechanical system …

Distributed sky imaging radiometry and tomography

A Aides, A Levis, V Holodovsky… - 2020 IEEE …, 2020 - ieeexplore.ieee.org
The composition of the atmosphere is significant to our ecosystem. Accordingly, there is a
need to sense distributions of atmospheric scatterers such as aerosols and cloud droplets …

[PDF][PDF] X-ray in-line holography and holotomography at the NanoMAX beamline

S Kalbfleisch, Y Zhang, M Kahnt, K Buakor… - Journal of …, 2022 - journals.iucr.org
Coherent X-ray imaging techniques, such as in-line holography, exploit the high brilliance
provided by diffraction-limited storage rings to perform imaging sensitive to the electron …