Fig. 9From: PIXER: an automated particle-selection method based on segmentation using a deep neural networkExperiments on simulated data. (a) Example of micrographs including the original micrograph, heat map of probability, binarized segmentation results and final coordinates. (b) Detailed IOU results of 45 micrographs. (c) The IOU results of our method on the simulated data with different SNRs. Here the SNR is defined as \( SNR=10{\mathit{\log}}_{10}\left(\frac{\sum \limits_{x=0}^N\sum \limits_{y=0}^M\widehat{f}{\left(x,y\right)}^2}{\sum \limits_{x=0}^N\sum \limits_{y=0}^M{\left[f\left(x,y\right)-\widehat{f}\left(x,y\right)\right]}^2}\right) \), where \( \widehat{f}\left(x,y\right) \) is the signal of simulated data generated from InSilicoTEM with no noise, and f(x, y) is the simulated data with noiseBack to article page