Demand for low carbon energy storage has highlighted the importance of imaging
techniques for the characterization of electrode microstructures to determine key parameters …

We present the Core Imaging Library (CIL), an open-source Python framework for
tomographic imaging with particular emphasis on reconstruction of challenging datasets …

The newly developed core imaging library (CIL) is a flexible plug and play library for
tomographic imaging with a specific focus on iterative reconstruction. CIL provides building …

Chemical staining of biological specimens is commonly utilised to boost contrast in soft
tissue structures, but unambiguous identification of staining location and distribution is …

Here we apply hyperspectral bright field imaging to collect computed tomographic images
with excellent energy resolution (~ 1 keV), applying it for the first time to map the distribution …

Shot noise is a critical issue in radiographic and tomographic imaging, especially when
additional constraints lead to a significant reduction of the signal-to-noise ratio. This paper …

Spectral computed tomography has received considerable interest in recent years since
spectral measurements contain much richer information about the object of interest. In …

Hyperspectral neutron computed tomography is a tomographic imaging technique in which
thousands of wavelength-specific neutron radiographs are typically measured for each …

Neutron and X-ray computed tomography (NCT and XCT, respectively) are imaging
techniques that are increasingly applied in geomechanics research. They are used to non …

Hyperspectral neutron tomography is an effective method for analyzing crystalline material
samples with complex compositions in a non-destructive manner. Since the counts in the …