activity
20192024
most citedOptimizing contrast and spatial resolution in hard X-ray tomography of medically relevant tissues

12 citations · 28 across the 7 of their papers we have counts for

collaborators

7 papers

physics.med-ph2024★ 3 cited

Synchrotron radiation-based tomography of an entire mouse brain with sub-micron voxels: augmenting interactive brain atlases with terabyte data

Mattia Humbel, Christine Tanner, Marta Girona Alarcón +6

Synchrotron radiation-based X-ray microtomography is uniquely suited for post mortem three-dimensional visualization of organs such as the mouse brain. Tomographic imaging of the e…

physics.med-ph2024

Aligner-induced tooth movements in three dimensions using clinical data of two patients

Ignacio Filippon, Christine Tanner, Jeannette A. von Jackowski +3

The effectiveness of a series of optically transparent aligners for orthodontic treatments depends on the anchoring of each tooth. In contrast with roots, the crowns' positions and…

q-bio.TO2023

Tomographic imaging of microvasculature with a purpose-designed, polymeric X-ray contrast agent

Willy Kuo, Ngoc An Le, Bernhard Spingler +3

Imaging of microvasculature is primarily performed with X-ray contrast agents, owing to the wide availability of absorption-contrast laboratory source microCT compared to phase con…

physics.med-ph2022

Three-dimensional imaging of porcine joint tissues down to the subcellular level

Georg Schulz, Andrea Barbero, Francine Wolf +7

Joint tissues consist of trabecular and cortical bone as well as calcified and hyaline cartilage, which presents a challenge for hard X-ray-based visualization on the sub-cellular…

physics.bio-ph2022★ 3 cited

Three-dimensional imaging and analysis of annual layers in tree trunk and tooth cementum

Bert Müller, Muriel Stiefel, Griffin Rodgers +10

The growth of plants, animals, and humans can give rise to layered structures associated with annual periodicity. Thickness variations are often correlated to nutrition supply and…

cs.CV2021★ 10 cited

Terabyte-scale supervised 3D training and benchmarking dataset of the mouse kidney

Willy Kuo, Diego Rossinelli, Georg Schulz +4

The performance of machine learning algorithms, when used for segmenting 3D biomedical images, does not reach the level expected based on results achieved with 2D photos. This may…

physics.med-ph2019★ 12 cited

Optimizing contrast and spatial resolution in hard X-ray tomography of medically relevant tissues

Griffin Rodgers, Georg Schulz, Hans Deyhle +4

Hard X-ray tomography with Paganin's widespread single-distance phase retrieval filter improves contrast-to-noise ratio (CNR) while reducing spatial resolution (SR). We demonstrate…