Extended Data Fig. 3: Uncertainty comparison of DFCAN-SIM, DFGAN-SIM and rDL SIM models. | Nature Biotechnology

Extended Data Fig. 3: Uncertainty comparison of DFCAN-SIM, DFGAN-SIM and rDL SIM models.

From: Rationalized deep learning super-resolution microscopy for sustained live imaging of rapid subcellular processes

Extended Data Fig. 3

a, Representative SR images of F-actin produced by the three models of DFCAN-SIM, DFGAN-SIM and rDL SIM that are independently trained with the same dataset (upper), and the corresponding standard deviation (SD) maps (lower). b, The magnified regions of the white box in (a). c, The raw SIM image, Conv. SIM and GT-SIM images shown for reference. The arrows indicate the fine structures of F-actin that exhibit large reconstruction variation by both DFCAN- and DFGAN-SIM models, whereas that are stably reconstructed by rDL SIM with high consistency to the GT-SIM image. Scale bar, 1 μm (a), 0.3 μm (b, c). Gamma value, 0.7 for all SIM images of F-actin.

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