Your English writing platform
Discover LudwigExact(27)
Individual contrast maps were normalized to Talairach stereotaxic space, re-sampled (voxel size=3 × 3 × 3 mm), and spatially smoothed using a Gaussian filter (FWHM=6.0 mm).
All XRF maps were normalized to Io.
Maps were normalized and two versions were produced depending on whether geothermal vertical or horizontal loops were included.
The polar maps were normalized to the mean of six connected sectors showing the highest overall uptake in the left ventricular myocardium.
Segmentation maps were normalized and resampled to a 4×4×4 mm resolution to spatially overlap the filtered time-series.
The single-trial TF energy maps were normalized independently for each frequency with respect to the mean and standard deviation of a common baseline (0 to 200 ms).
Similar(33)
All maps are normalized relative to cells from the head segments, as in Fig. 4. c, Pearson correlation between datasets 1 and 2 by segment.
Gene-expression heat maps are normalized by row (z-score) for the top 30 leading-edge genes between microarray samples from CD27+ versus CD27− CD4+ TCR-β+ YFP+ cells, using gene sets derived from CXCR5+ and CXCR5− exhausted CD8+ T cells1.
The values of the N weight maps are normalized such that they sum to one at each pixel (i, j).
The output maps are normalized beta-maps that are in the acquired space (3.44 × 3.44 × 6 mm).
The output maps are normalized beta-maps which are in the acquired space (3.44 mm × 3.44 mm × 6 mm).
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com