The sensitivity should be differentiated from the detection limit
Sensitivity/Detection Limit of EDS - GlobalSino
Bit Error Rate (BER) is the sensitivity benchmark for digital modulation systems. Eb/No is the ratio of the Energy per bit (Eb) to the noise spectral density (No - the noise power present in 1 Hz). The carrier to noise ratio required for a certain BER is a function of the Eb/No of the signal. This is a digital system representation of signal to noise ratio. Each digital modulation type has a Eb/No curve (Eb/No vs. BER). In order to determine sensitivity, use the appropriate curve and find desired bit error rate to determine the necessary Eb/No. Then calculate the Carrier to noise ratio by the following relationship:
The limits of cultural sensitivity – eyeonrights
It is important that the relevant experimental conditions corresponding to sensitivity measurement should always be stated. These include in a typical case details of the instrument type, bombarding electron current, slit dimensions, angular collimation, gain of the multiplier detector, scan speed and whether the measured signal corresponds to a single mass peak or to the ion beam integrated over all masses. Some indication of the time involved in the determination should be given, e.g. counting time or band width. The sensitivity should be differentiated from the .
Set mouse sensitivity beyond maximum - Super User
Figure 4792b shows the comparison of the relative MDMs, obtained from 50 nm SrTiO3 TEM specimen, versus analysis time t by EDS with a Si(Li) detector and a large SDD detector, and by EELS. This SDD detector had a total active area of 120 mm2,  resulting in even better MDM than that of EELS. Furthermore, in general, the techniques are more sensitive to the elements if the detection time is longer.
How to increase mouse sensitivity beyond limits ..
The PROC FREQ approach is shown below. Begin by obtaining the risk difference and its standard error from PROC FREQ. Since the table is arranged so that Test=1, Response=1 appears in the upper-left (1,1) cell of the table, the Column 1 risk difference is needed. The following ODS OUTPUT statement saves the Column 1 risk difference in a data set.