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The spectra were corrected for instrumental broadening to obtain the intrinsic diamond peak widths [20, 21]. Figure 3b shows a sample spectral simulation.
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On contrary to classical color spaces, we treat the R, G, and B components as a sampled spectral signal.
Unlike the classical color spaces that treat the R, G, and B (RGB) components of a pixel's color as independent elements, the proposed color space treats RGB as a sampled spectral signal, called a RGB signal.
Unlike many existing classical color spaces that treat the R, G, and B as independent elements, we treat them as a sequence of a sampled spectral signal that has three samples with the value of R, G, and B in order.
When both are present in a patient's sample, spectral peaks from each species are observed in the same spectrum.
Results were further filtered using software developed in-house, and differences in protein abundance between the samples were derived by summing the total CID events that resulted in a positively identified peptide for a given protein accession across all samples (spectral counting) [ 20].
If autopeaks appear at the waveband that not associated with the analyte of interest or any known interferent compositions, a conclusion that the instrumental drift have not been corrected in the sample spectral data can be drawn.
For practical computation, let us sample spectral reflectance at N wavelengths in the visible range 400 to 700 nm.
Figure 9 One sample spectral-face and the first 10 spectral eigenfaces.
Our CL system, in association with a spectrometer, allows monochromatic CL (GATAN MonoCL2) imaging as well as acquisition of CL spectra on localized spots of a sample with a spectral resolution of 0.5 nm.
Since any shift of the sampled spectral interference signal in time results in a spectral shift δk, using the Fourier shift theorem, the resulting phase difference between subsequent axial scans is given by ΔΦ trig = 2π·δ k·z.
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