Fig. 9
From: METROID: an automated method for robust quantification of subcellular fluorescence events at low SNR
Signal filtering simulations schematic. Each independent noise (red curves) was added to either a step or an AP-like signal (blue curves) to produce n observations, simulating a ROI mean over time. These observations served as inputs to one of the four BSS methods, which decomposed them into m components. Signals were filtered by applying the inverse transformation with m < n. Three performance output variables (inset box) were chosen to evaluate each filtering method success: relative error to maximal amplitude (Er_Amp), Pearson correlation coefficient (r) and root mean square error (RMSE)