The BOLD signal reports changes in the amount of deoxyhaemoglobin in the blood.
Similarly to most pattern detection methods in signal processing, the amount of data processed is reduced by first extracting candidate waveforms based on low-level detection analysis (by feature extraction), while subsequently classification is performed to maximize specificity of the overall method [3].
To quantify the specific signal in the infected samples, we first subtracted the background, normalized the signal to the amount of actin in the lysate, and plotted the values as percent increase over uninfected samples, as previously described.
A second is the sensitivity, which is the change in signal intensity per unit change in the amount of solute.
This new data suggests inhibition of TOR signaling results in an increase in the amount of mitochondrial oxidative phosphorylation (OXPHOS) subunits.
The amount of receptor was determined in the 700 nm channel that detects the N-terminal signal, while the amount of labeled sample in the 800 nm channel detects the FLAG signal.
The intensity of Bodipy signal reflects the amount of lipids in each sample.
Phosphorylation of Ser10 was detected by western blot analysis, and relative catalytic activity was calculated by normalising the p27 pSer10) signal to the amount of kinase in the reaction, as determined by the intensity of the GFP signal.
After quantification of the LDLR signal normalized to the amount of DAPI signal in each field, we calculated a 30% increase (*p = 0.04) in LDLR in the hippocampi of PSAPP mice compared to NTG controls (Figure 7B).
The overall increase in the level of bootstrap support for the tree in Figure 5C could be due to either (i) a simple increase in the amount of signal in the phylogenetic analysis or (ii) an increase in the ratio of signal to noise arising from an increased progenitor: descendant mutation rate.
