“…The currently developed super-resolution techniques may also benefit the computational image processing techniques in their respective applications, when the image data shares a similar digital nature through current or modified instrumentation. Improve the resolution with sparse deconvolution, and determine the fluorescence dipole orientation with modulation fitting 75 Axelrod, 1989;Hafi et al, 2014;Zhanghao et al, 2016 SIM Use Moiré interference (differential frequency) to bring the high frequency feature to low frequency 100 Gustafsson et al, 2008;Li et al, 2015;Yang et al, 2016b;Yu et al, 2016 ISM Spatial deconvolution of the obtained confocal PSF 150 Müller and Enderlein, 2010;Sheppard et al, 2013;Yang et al, 2016b;Yu et al, 2016 SOFI Calculate the high-order correlation of the random blinking statistics of the emitters 75 Dertinger et al, 2009;Geissbuehler et al, 2012 SMLM Localize the position of each single molecule for super-resolution imaging 10-20 Betzig et al, 2006;Hess et al, 2006;Rust et al, 2006;Yang et al, 2016b;Yu et al, 2016 3B Calculate the Bayesian statistics of the random blinking emitters 50 Cox et al, 2012 STED Employ stimulated emission to shrink the PSF down to subdiffraction size; the subsequent deconvolution process further enhances the resolution and contrast 20-30 Schoonderwoert et al, 2013 TRAM Achieves a high-resolution image from multiple deconvolved low-resolution translation images~5 0 Qiu et al, 2016 …”