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It has already been shown that quantification of PET is affected by a multitude of biological and technical factors influencing PET acquisition and reconstruction [26, 27].
In AD, it has been shown that quantification or parametric measurements of amyloid load are fundamental since they allow cut off scores for a better differentiation between normal subjects, preclinical AD, and AD individuals [ 21, 22, 30].
It has recently been shown that quantification with dimethyl labeling is as accurate as metabolic labeling strategies [ 17], which have been referred to as the gold standard in quantitative proteomics [ 18].
In a clinical setting, it has been shown that quantification of f and D* are associated with poor measurement reproducibility (e.g. 50% or greater) and hence developments to improve the stability and reproducibility of these estimates would be important to allow the IVIM analysis to be robustly deployed within the clinical arena.
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Using phantom measurements, it was shown that quantification errors in the reconstructed PET images could be reduced from up to 25% when neglecting hardware attenuation to below 3% when employing xMLAA.
This is particularly relevant for treatment monitoring since it has been shown that objective quantification of [18F]FDG uptake changes may improve the prognostic value of [18F]FDG-PET compared with visual analysis [1].
It has been shown that accurate quantification of coordination between fore and hind limbs provides a sensitive measure of spinal cord injury in rats [ 28] that complements ordinal scales such as the BBB scale.
Of note, it has been shown that direct in vivo quantification of ADAM activity is complicated.
Furthermore, it has been shown that Raman spectroscopy-based quantification of intracellular somatolactin-β in E. coli is realizable [ 40].
Also, it was shown that a quantification of E. coli cells was possible with our assay method.
It is shown that the quantification of this degree of stationarity through the channel parameters can provide a way of tracking channel variation and allowing for adaptive application of diversity techniques and the channel capacity.
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