DNA nanoball detection algorithm

The data obtained from the measurements are processed using an algorithm implemented using MATLAB. The data obtained from the impedance spectroscope typically has a baseline voltage and drift associated. Firstly, the baseline of the signal is computed using a moving average filter. This baseline signal is then subtracted from the original signal to have a normalized signal with only the peaks/spikes present. These peaks represent a change in impedance for a very short duration due to a nanoball or a bead passing through the microfluidic chip across the electrodes. This signal is passed through a filter to remove the background noise, and a threshold is applied for the detection of peaks in the response. This threshold is kept 2 μV above the noise. The noise of the signal is computed using the variation of the response in the control group when there are no peaks in the response. The outliers are then removed from the peaks and the number of peaks detected are noted as the number of nanoballs detected by the system.