We present HoToPy, a toolbox for X-ray holo-tomography in Python. It offers state-of-the-art phase retrieval methods for synchrotron and laboratory sources as well as tomographic reconstruction and alignment methods.

Background As science becomes more open and accessible, researchers are increasingly encouraged—and sometimes required—to share their digital data on public repositories. While this promotes transpare...

A biomedical X-ray imaging quality characteristic, suitable for quantitative assessment of X-ray images of biological samples, is introduced and then applied to analysis of propagation-based X-ray phase-contrast computed tomography images of mastectomy samples.

Findings of ammonoid soft tissues are extremely rare compared to the rich fossil record of ammonoid conchs ranging from the Late Devonian to the Cretaceous/Paleogene boundary. Here, we apply the computed-tomography approach to detect ammonoid soft tissue remains in well-preserved fossils from the Early Cretaceous (early Albian) of NE-Germany of Proleymeriella. The ammonites were found in glauconitic–phosphatic sandstone boulders. Analyses of the high-resolution Ct-data revealed the presence of cameral sheets, the siphuncular tube wall, and the siphuncle itself. The siphuncle is a long, segmented soft tissue that begins at the rear end of the body chamber and comprises blood vessels. Chemical analyses using energy-dispersive spectroscopy (EDS) showed that all preserved soft tissues were phosphatized and are now composed of fluorapatite. The same holds true for preserved shell remains that locally show the nacreous microstructure. We provide a short description of these soft tissue remains and briefly discuss the taphonomic pathway.

An illustration of the synchrotron-based computed tomography pipeline is given, highlighting the three key processing stages — projection, sinogram and reconstruction — each incorporating multiple processing steps to enhance image quality.

In this study, we introduce TomoPyUI, a user-friendly interface for the TomoPy tomography data processing package, designed to streamline and enhance the management of synchrotron and neutron computed tomography data. TomoPyUI, operating within a Jupyter environment, incorporates GPU-accelerated algorithms and a structured data management system, significantly reducing computation times and improving workflow efficiency in the tomography processing pipeline.

Signal-to-noise ratio and spatial resolution are quantitatively analysed in the context of propagation based X-ray phase-contrast imaging. The performance of the method is shown to be determined by the Fresnel number and the ratio of the real decrement to the imaginary part of the refractive index of the imaged object.

A novel in situ correlative imaging X-ray Compton scattering computed tomography technique has been developed to unravel the fundamental relationship between the materials chemistry of light elements and their 3D structures. Here, this technique is applied to two types of batteries to map the internal lithium-ion concentrations.