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The standard data correction protocol (normalization, attenuation and decay correction) was applied to the data.
The standard data correction protocol (normalisation, decay correction and injection decay correction) was applied to the data.
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With careful calibration and data correction, the qualities of corrected RD spectra, defined as standard deviations of the RD signals as a function of wavelength and time, are better than 3 × 10− 4 and 1.3 × 10− 3, respectively.
Standard data preparation and enhancement procedures including refraction statics correction, noise attenuation, deconvolution and common midpoint sorting (CMP) were carried out to improve data signal-to-noise ratio.
During initial data analysis and correction, missing ratings were handled using techniques sufficient for data correction.
Three different data correction methods were applied.
This inter-instrument correction factor was developed from healthy volunteer data and standards data collected prior to the clinical study reported here.
Unfortunately the effect of spot-localized contaminant emission cannot be corrected in commercial scanner microarray data using standard background correction procedures that estimate background signal for a spot from the signal around the spot and thus it leads to errors in the calculated expression ratios (R/G).
A cut-off of ≥ 0.5 was applied to all data in addition to standard background correction to remove features close to the mean low intensity threshold across all arrays (0.38 ± 0.19).
Mean usable data coverage increases from < 1% to > 50% when using Rrc as compared to Rrs processed using standard atmospheric correction algorithms in SeaDAS.
A standard equinus correction frame was constructed with a TSF.
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