“…The artifacts caused by these assumptions can be minimized if some prior knowledge of the sample is provided. Reconstruction parameters are dynamically optimized to match the reconstructed results according to the known features of the sample, such as its geometrical morphology acquired from imaging techniques like transmission electron microscopy (TEM) or SEM, the distance between lattice planes, the shank angle, the tip radius (Gault et al, 2009, 2011; Larson et al, 2012, 2013; Lefebvre et al, 2015; Hatzoglou et al, 2019; Zschiesche et al, 2019), and clusters or grain boundaries (Mouton et al, 2017; Baik et al, 2018; Kolli, 2018). Corrections to the local magnification are also exploited to eliminate trajectory aberrations that cause low-density poles on the hit maps (Larson et al, 2011).…”