7 papers · 1 filter
Generalized Zernike Phase-Contrast Imaging
Christian Dwyer, David M. Paganin
Zernike phase-contrast imaging is unique among imaging techniques in that it enables the upper limit of Fisher information allowed by quantum mechanics. Here we show that, in a dep…
Demonstrating a family of X-ray dark-field retrieval approaches on a common set of samples
Samantha J. Alloo, Ying Ying How, Jannis N. Ahlers +3
Sensitive to scattering from unresolved sample structures, the dark-field channel in full-field X-ray imaging provides complementary information to that offered by conventional att…
Ghost projection via focal-field diffraction catastrophes
James A. Monro, Andrew M. Kingston, David M. Paganin
Ghost projection is the reversed process of computational classical ghost imaging that allows any desired image to be synthesized using a linear combination of illuminating pattern…
Deep Learning in Classical X-ray Ghost Imaging for Dose Reduction
Yiyue Huang, Philipp D. Loesel, David M. Paganin +1
Ghost imaging (GI) is an unconventional technique that combines information from two correlated patterned light fields to compute an image of the object of interest. GI can be perf…
High-resolution x-ray scanning with a diffuse, Huffman-patterned probe to minimise radiation damage
Alaleh Aminzadeh, Andrew M. Kingston, Lindon Roberts +3
Scanning objects with a more tightly focused beam (for example of photons or electrons) can provide higher-resolution images. However the stronger localisation of energy deposition…
Separating edges from microstructure in X-ray dark-field imaging: Evolving and devolving perspectives via the X-ray Fokker-Planck equation
Samantha J. Alloo, David M. Paganin, Michelle K. Croughan +3
A key contribution to X-ray dark-field (XDF) is X-ray diffusion by sample structures smaller than the imaging system's spatial resolution. However, some XDF techniques report that…