Extended Data Fig. 4: Comparisons of SN2N versus RL-SN2N using SD-SIM and applying SN2N on SD-confocal microscopy.
From: Self-inspired learning for denoising live-cell super-resolution microscopy
a, Zoomed-in views (top) and FWHM distribution plots (bottom, calculated by LuckyProfiler) of denoising results by different methods (c.f., Fig. 2a). b, Comparison of SN2N and RL-SN2N. Top: SD-SIM (left) and its RL result (right); Bottom SN2N result (left) and RL-SN2N result (right). c, LRQ values of results in b. d, SN2N denoising results (right) of SD confocal image (left) recording the Argo-SIM slide. e, LRQ values of results in d. f, Comparisons of SN2N with 2D U-Net (left), SN2N with 3D U-Net (middle), and RL-SN2N with 3D U-Net (right) of volumetric data (c.f., Fig. 3b). g, Magnified views and their xz and yz cross-sections from white boxed regions in f. Experiments were repeated three times independently with similar results; scale bars, 500 nm (a, b, d); 1 µm (f, g).
