Fig. 1: Overview of the proposed OCT DS technique.

a Data acquisition and DS model. S-OCT alternates between imaging and tissue sectioning to acquire a stack of block-face OCT images, which are then processed to compute the scattering coefficient (OCT-SC) map stack. Sectioned sample slices are physically stained and imaged. The DS neural network is trained from a few weakly-aligned pairs of OCT-SC and Gallyas silver-stained images. b After the DS model is trained, it can perform inference on completely new slices of OCT-SC images for volumetric DS