6 papers
Improving reproducibility in synchrotron tomography using implementation-adapted filters
Poulami Somanya Ganguly, Daniël M. Pelt, Doga Gürsoy +2
For reconstructing large tomographic datasets fast, filtered backprojection-type or Fourier-based algorithms are still the method of choice, as they have been for decades. These ro…
Distributed optimization for nonrigid nano-tomography
Viktor Nikitin, Vincent De Andrade, Azat Slyamov +6
Resolution level and reconstruction quality in nano-computed tomography (nano-CT) are in part limited by the stability of microscopes, because the magnitude of mechanical vibration…
Near, far, wherever you are: simulations on the dose efficiency of holographic and ptychographic coherent imaging
Ming Du, Doga Gursoy, Chris Jacobsen
Different studies in x-ray microscopy have arrived at conflicting conclusions about the dose efficiency of imaging modes involving the recording of intensity distributions in the n…
Three dimensions, two microscopes, one code: automatic differentiation for x-ray nanotomography beyond the depth of focus limit
Ming Du, Youssef S. G. Nashed, Saugat Kandel +2
Conventional tomographic reconstruction algorithms assume that one has obtained pure projection images, involving no within-specimen diffraction effects nor multiple scattering. Ad…
TomoGAN: Low-Dose Synchrotron X-Ray Tomography with Generative Adversarial Networks
Zhengchun Liu, Tekin Bicer, Rajkumar Kettimuthu +3
Synchrotron-based x-ray tomography is a noninvasive imaging technique that allows for reconstructing the internal structure of materials at high spatial resolutions from tens of mi…
X-ray tomography of extended objects: a comparison of data acquisition approaches
Ming Du, Rafael Vescovi, Kamel Fezzaa +2
The penetration power of x-rays allows one to image large objects. For example, centimeter-sized specimens can be imaged with micron-level resolution using synchrotron sources. In…