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However, if the sample size is small, e.g., for the OU dataset, projection kernel does not have any advantage over the canonical-correlation kernel.
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The first dataset contains projections of ribosomes (80S, PDB code: 4V7H) with various levels of Gaussian noises added to yield signal-to-noise ratios (SNR) of 0.25, 0.11 and 0.06 (Fig. 4A).
The average phase difference as assigned by each method vs the manual technique was calculated per projection dataset.
FBP methods, such as Gridrec [2], perform only a single pass over the input projection dataset and therefore require significantly less computation than do iterative reconstruction algorithms, which may need tens or even hundreds of iterations.
Untitled and tilted particles from the first five classes were merged into a single dataset for further projection matching refinement.
In fact, the very idea of dimensionality reduction approach is to replace the original dataset by its projection in a useful space of lower dimensionality, to perform all subsequent analysis there.
The camera's viewing direction is controlled by its normal n, which was rotated independently of s0 around the z-axis with angular step of 90° starting from the its initial direction n = (1,0,0) T. The first approximation to the transport coefficient was computed from the projection dataset when s0 and n differ by 180°.
The outcome of the material decomposition are three material projection datasets (CA1, CA2, and water).
The time to reconstruct a 1920 (X) × 1200 (Y) × 900 (projections) dataset is now less than 60 s.
We used the software package InSilicoTEM (Vulovic et al., 2013) to generate a new dataset of ribosome projections.
To show the scaling of performance, we have run this algorithm on a larger dataset of 1024 projections of (1024^2) on 1 21 GPUs.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com