Fig. 3: DEEP2 validation results on mouse pyramidal neurons with dendritic arbors at 2 and 6 scattering lengths (SLS) below the surface.
From: DEEP-squared: deep learning powered De-scattering with Excitation Patterning
PSTPM images of mouse pyramidal neurons were recorded. Their corresponding simulated DEEP-TFM image stacks were generated using the forward model. A subset of the data was used to train the DEEP2 inverse model, and the remaining unseen data were used to validate the model performance. a, d, g, j Four representative simulated DEEP-TFM image stacks (averaged over the 32 patterns) used for validation. b, e, h, k The corresponding PSTPM ground truths for the (a), (d), (g) and (j) instances. c, f, i, l DEEP2 reconstructions corresponding to (a), (d), (g) and (j) instances. The intensity along the yellow lines M, N, O, and P are visualized in (m–p) plots
