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(a) Top panel: Total number of genes detected (count ≥ 4) from nuclei (*Indicates data sets generated from sorted nuclei frozen prior to C1 loading) and whole cell data sets representing S1 excitatory neurons.
Its maximum efficiency at 20 keV, defined as the detected count rate divided by the incident particle current, is 5.4(2)×10−4, yielding a figure-of-merit, or analyzing power squared times efficiency, of 1.0(1.01.05.
The energy time diagrams show the detected count rate of the protons, (hbox {O}^)/(hbox {N}^), and (hbox {He}^).
By selecting the interval of chorus emissions, we expect that the detected count will increase both N1/2/N and the amount of the modulation of the distribution, and therefore, we expect the signal-to-noise ratio to increase.
The data has been plotted in Figure 14(a) and Figure 14(b), and whilst the signal from the fourth box is larger at around 5 or 6 counts per time bin, the signal from the fifth box rarely gets above 1 detected count per time bin. Figure 14 (a) Monte Carlo simulated falling edge of ToF of five boxes at 1 A beam current, (b) enlarged version of plot in Figure 14(a).
The correlation of the detected count numbers between parallel libraries was statistically assessed using Pearson's correlation.
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Another approach is to use the spectrum of the source to correct the detected counts for the effective area of the telescope/instrument combination.
The distribution of detected counts is the convolution of a Poissonian continuous background with bursts arising from the passage of individual fluorophores through the focused laser beam.
In particular, the number of detected counts is proportional to the incident flux in a broad band only when the effective area is constant within the chosen band.
If we assume an incident spectrum, we can correct the detected counts to give the incident flux, and use that for the weights.
For example, a uniform source of illumination will still show a radial variation in the number of detected counts due to the telescope vignetting.
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