Paper
19 October 2012 Effects of extraneous noise in cryptotomography
N. Duane Loh
Author Affiliations +
Abstract
X-ray pulses produced by free-electron lasers can be focussed to produce high-resolution diffraction signal from single nanoparticles before the onset of considerable radiation damage.1–3 These two-dimensional (2D) diffraction patterns are inherently noisy and have no direct means of signal-averaging because the particles themselves are currently injected at random, unknown three-dimensional (3D) orientations into the particle-radiation interaction region. Simulations have successfully recovered 3D reconstructions from such remarkably noisy and fully unoriented 2D diffraction data.4 However, actual experimental data5 show that extraneous noise (either from background scattering or detector noise) can limit the resolution of the reconstruction or even jeopardize reconstruction attempts. This paper studies the second and more severe of these two effects through a simplified version of this reconstruction problem. A straightforward consideration of conditional probabilities 4, 6 can help define when the extraneous noise overwhelms reconstruction attempts. Nevertheless, an ensemble of data with considerable numbers of bright fluctuations may still reconstruct successfully. Incidentally, we also extend a specialized reconstruction algorithm 4, 6 to recover distinct species within an ensemble of illuminated samples. We expect our simplified simulations to provide insights that would have taken considerably longer to develop when restricted to the full 3D reconstruction problem.
© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
N. Duane Loh "Effects of extraneous noise in cryptotomography", Proc. SPIE 8500, Image Reconstruction from Incomplete Data VII, 85000K (19 October 2012); https://doi.org/10.1117/12.930165
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Cited by 6 scholarly publications.
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KEYWORDS
Photons

Diffraction

Data modeling

3D modeling

Reconstruction algorithms

3D image processing

Scattering

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