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. 2024 Jul 23;65(8):39. doi: 10.1167/iovs.65.8.39

Figure 3.

Figure 3.

Simulation results with the O-PIPP approach and the PIPP model on RP retinal mosaics. (A) Sample mosaics from PIPP-simulated WT mosaics (1), O-PIPP–simulated WT mosaics (2), and natural WT mosaics (3; adapted from Ref. 9). (B) The distributions of NN distances in natural WT mosaics (gray), overlaid by values extracted from PIPP-simulated WT mosaics (left, transparent red) and O-PIPP–simulated WT mosaics (right, transparent red). (C) The distributions of VD areas in natural WT mosaics (gray), overlaid by values extracted from PIPP-simulated WT mosaics (left, transparent red) and O-PIPP–simulated WT mosaics (right, transparent red). (D) The loss of simulated WT cone mosaics. (E) Sample mosaics from PIPP-simulated RP mosaics (1), O-PIPP–simulated RP mosaics (2), and the natural RP mosaic (3; adapted from Ref. 9). (F) The distributions of NN distances in natural RP mosaics (gray), overlaid by values extracted from PIPP-simulated RP mosaics (left, transparent red) and O-PIPP–simulated RP mosaics (right, transparent red). (G) The distributions of VD areas in natural RP mosaics (gray), overlaid by values extracted from PIPP-simulated RP mosaics (left, transparent red) and O-PIPP–simulated RP mosaics (right, transparent red). (H) The loss of simulated RP cone mosaics.