Sentence examples for multiple reconstructions of from inspiring English sources

Both of them were calculated on the basis of multiple reconstructions of the time series.

Users should be aware that the storage of multiple reconstructions of an image volume constitute a redundancy that can be removed without loss of information.

Users should be aware that the storage of multiple reconstructions of an image volume constitute a redundancy that can be removed without loss of information.  .

Creating multiple reconstructions of an image volume (for instance, sagittal and coronal versions where axial slices already exist, or thick slices where thin slices already exist) constitute a redundancy that can be removed without loss of information.

We also refer to differences between the three AncCMGI reconstructions in proline selectivity, and include a new panel in Figure 3 figure supplement 2 that shows +1 position PSPL data for multiple reconstructions of each ancestor.

Until the relative phyletic positions of sponges and ctenophores are fully resolved, multiple reconstructions of ADAR evolution are obtained depending if sponges or ctenophores are the earlier-branching phylum.

This is a very useful feature to quickly visualize multiple reconstruction-hypotheses of a site.

To superimpose multiple reconstructions and show the distribution of neuronal processes as a population average, reconstructed neurons were registered into one file using defined layer borders (average of layers identified by DAPI stainings of 150 sections through the barrel cortex) as a reference, somata aligned at the same horizontal level, and all fibers plotted as one binary image.

The MP method employed above eliminated data for codons at which multiple reconstructions give the least number of changes in the gene tree.

If this week's separation is a success, the boys will still need multiple reconstruction procedures and months of rehabilitation, including physical and speech therapy, doctors said.

For this purpose, the SPArse Reconstruction Challenge (SPARC) was held along with the workshop on Computational Diffusion MRI (at MICCAI 2014) to validate the performance of multiple reconstruction methods using data acquired from a physical phantom.