Figure 2.

The microstructure models were built from individual sections through the LC and sclera that were reimaged at a higher microscale resolution (0.73 μm per pixel) and registered to the low magnification stacks (see Fig. 1). These models were segmented into LC beams and neural tissues (top middle). The segmented images were then used as the basis for a 3D reconstruction of the LC beams (top right). Our reconstruction method resulted in beams that were symmetric about a plane through the middle thickness of the reconstructed section. The assumption of symmetry allowed us to model only half of the total reconstructed volume. A finite element model of the beams embedded in neural tissue was then created (bottom row). The displacement driven boundary conditions obtained from the mesoscale models was then applied to the microscale model and the deformations of the LC beams, and neural tissues were obtained from the simulation.