Physics – Data Analysis – Statistics and Probability
Scientific paper
2009-04-16
Phys. Rev. E 80, 026705 (2009)
Physics
Data Analysis, Statistics and Probability
52 pages, 17 figures and uses algorithm2e package v4: split first section into 2. Updated figure captions and specific definit
Scientific paper
10.1103/PhysRevE.80.026705
We introduce the EMC algorithm for reconstructing a particle's 3D diffraction intensity from very many photon shot-noise limited 2D measurements, when the particle orientation in each measurement is unknown. The algorithm combines a maximization step (M) of the intensity's likelihood function, with expansion (E) and compression (C) steps that map the 3D intensity model to a redundant tomographic representation and back again. After a few iterations of the EMC update rule, the reconstructed intensity is given to the difference-map algorithm for reconstruction of the particle contrast. We demonstrate reconstructions with simulated data and investigate the effects of particle complexity, number of measurements, and the number of photons per measurement. The relatively transparent scaling behavior of our algorithm provides a first estimate of the data processing resources required for future single-particle imaging experiments.
Elser Veit
Loh Duane Ne-Te
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