Statistical analysis for in vitro functional validation of iPSC-RPE-patch was performed using R-software and where applicable the Dunn.test package. Data was first assessed for normality by determining data skewness, kurtosis, and q-q plots. All gene expression, TER, shape metrics, and phagocytosis data were found to have skewness or kurtosis values outside of a −1 to 1 range and showed significant deviance in q-q plots and thus were treated as non-normal. Dunn’s test was therefore used for reporting multiple pairwise comparisons after a Kruskal-Wallis test for stochastic dominance among k groups was performed. A Bonferroni-Dunn correction was used for all pair-wise comparisons and an adjusted p-value < 0.05 (*), 0.01 (**), and 0.001 (***) were considered significance. For flow cytometry data in figure 1D, quartile regression models and an ANOVA were utilized to determine differences in slope from 0. For principle component analysis data from phagocytosis, TER, and gene expression profiles across all days and clones was scaled from 0 to 1 using the total pooled data for each metric. PCA was performed and clustering was shown based on k-nearest neighbors. Bootstrap hierarcial cluster of PCA was performed to show similarity between different iRPE samples from three donors (*p<0.05). A linear mixed model (LME) and ANOVA was performed to determine if statistical differences between different transplant groups in pigs. The equation function used in the MATLAB fitlme function was: Data ~ Week + Group*Component + (1|Pig_Name). A linear regression of the AUC mfERG waveform component was also performed in Graphpad and the elevation and y-intercepts determined. A p-value of 0.05 or less was determined to be statistical significant for both the LME and the linear regression. ANOVA was used to perform statistics on OKN data, *p<0.05, **p<0.01 were considered significant. To count the number of nuclei (DAPI) in the implant region (either empty scaffold or iRPE-Patch) in pigs was normalized to the corresponding healthy region on the same section. The same distance across the retina (~ 400 μm) was used for the implant area and the corresponding healthy area to count. In RCS rats a ~ 500 μm region was used for counting the number of nuclei in the ONL. An unpaired two-tailed t-test was performed for TUNEL positive nuclei and the number of nuclei in ONL of RCS and pigs, and resulted in a significant difference between the groups (** p<0.01, and ***p<0.001).