Extended Data Fig. 5: Analysis of predicted object-to-sensor distances and reconstructed phase map of RBCs. | Nature Machine Intelligence

Extended Data Fig. 5: Analysis of predicted object-to-sensor distances and reconstructed phase map of RBCs.

From: Deep learning based on parameterized physical forward model for adaptive holographic imaging with unpaired data

Extended Data Fig. 5

a, A series of 100 diffraction intensity patterns were measured at the tilted sample stage. Scale bar: 100 μm. b, Mean and standard deviation of the predicted distance over 100 frames (a). The distance estimation error becomes larger for the null patches, which do not include any RBCs, as they present a uniform flat intensity. c, Exemplary patches of measured phase map (top) and generated phase map (bottom) of RBCs. Also, the magnified 3-D phase maps of the dashed boxes (i)-(iv) are presented on the right of each 2-D phase map. Scale bar: 20 μm.

Back to article page