Quando un paziente critico arriva in Pronto Soccorso, privo di sensi o impossibilitato a seguire i comandi respiratori, la diagnostica per immagini diventa una corsa contro il tempo.

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...

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.

FibreSimulator is an open-source tool for generating realistic 3D phantoms of unidirectional fibre-reinforced polymers, enabling customizable fibre structures and simulating computed tomography scanning for algorithm development and validation.

An X-ray computed tomography scanning approach available at the BAMline effectively removes ring artifacts and enables real-time preview reconstruction through sequence-based step-scanning. Additionally, integrated X-ray spectral calculation software streamlines beamline adjustments for optimized imaging performance.

Geometrical magnification and X-ray energy are optimized with respect to spatial resolution, contrast, noise, radiation dose and other image quality characteristics. The optimization is performed using a simple theoretical model of a homogeneous edge feature embedded in a bulk uniform sample, and the resulting generic analytical expressions for image quality characteristics are evaluated for several sets of parameters relevant to synchrotron-based in-line X-ray imaging setups.

MAPI is a modular web-based framework designed to unite legacy analysis code with heterogeneous backends (edge, on-premises, high-performance computing, cloud), dramatically accelerating data analysis workflows and offering a scalable flexible blueprint for modernizing synchrotron data analysis.

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.

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.

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.