Fig. 3: Effect of lateral-axial similarity of 3D data using simulations and tissues. | Nature Communications

Fig. 3: Effect of lateral-axial similarity of 3D data using simulations and tissues.

From: System- and sample-agnostic isotropic three-dimensional microscopy by weakly physics-informed, domain-shift-resistant axial deblurring

Fig. 3: Effect of lateral-axial similarity of 3D data using simulations and tissues.

Simulation of sphere (high lateral-axial similarity, a) and cylinder (low lateral-axial similarity, d) reveals the performance of SSAI-3D and existing methods (c, f). b, e Relationship between training MSE on lateral images and inference MSE on axial images indicates robustness of different methods against distribution shifts. In label-free nonlinear imaging, biological tissues exhibit different levels of lateral-axial similarity (high in living and intact human blood-brain barrier microfluidic model (g) and low in freshly excised human endometrial tissue (i)). h, j Raw lateral and axial images of g and i, as well as restored axial images using SSAI-3D. Arrows: symmetric endothelial cells (h) and polarized epithelial glands (j). Scale bars: 50 µm. Source data are provided as a Source Data file.

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