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 …
dynamic characterizations, enabled by new generation synchrotron light sources and fast …
[PDF][PDF] Upscaling X-ray nanoimaging to macroscopic specimens
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 …
insights across multiple length scales, but its feasibility has long been an open question. By …
Alignment methods for nanotomography with deep subpixel accuracy
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) …
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
We describe and demonstrate an optimization-based X-ray image reconstruction framework
called Adorym. Our framework provides a generic forward model, allowing one code …
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
X-rays offer high penetration with the potential for tomography of centimetre-sized
specimens, but synchrotron beamlines often provide illumination that is only millimetres …
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
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 …
with implications not only for 3D volume visualization, but more importantly for quantitative …
Ab initio nonrigid X-ray nanotomography
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 …
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 …
series of two-dimensional (2D) projection images. However, the mechanical system …
Distributed sky imaging radiometry and tomography
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 …
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
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 …
provided by diffraction-limited storage rings to perform imaging sensitive to the electron …