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. 2012 Apr 25;303(3):C236–C243. doi: 10.1152/ajpcell.00016.2012

Fig. 3.

Fig. 3.

Evaluation of the algorithm with a synthetic data set. Automated ROI analysis was performed on a data set of sequences containing single Gaussian signal pulses (0.062–10 F/F0) embedded in random background noise (A). The dotted circles represent ROI positions where ideal intensity values were measured. To evaluate automated ROI detection over a range of signal to noise ratios, peak amplitude measurements expressed as a percentage of ideal amplitude were calculated for each image sequence (n = 20) and plotted as a scatter distribution (B). The solid line shows a linear regression for the data set (slope = −1.05, y-intercept = 103.2). The horizontal dotted line shows ideal values (100%). The distribution of percent error is shown in a histogram of error occurrence vs. percent error (C). For the data set, mean percent error was found not to be significantly different from 0 by one-sample Student's t-test. Amp, amplitude.