A Nikon ECLIPSE Ti2 Series Inverted Microscope was utilized for imaging of the results. Afterwards, ImageJ software was utilized to quantify the signal and relative background noise of 9 individual square replicates for each well printed. The signal-to-noise ratio (SNR) of each square was calculated by dividing signal over noise, and a mean average was calculated amongst all 9 squares, or replicates, referred to as the intra-assay SNR. Averages were taken of the intra-assay SNR for all wells printed from each stamp to determine the inter-assay SNR. Similarly, an intraassay percent coefficient of variance (%CV) was calculated for each well, which had 9 replicates each, and the inter-assay %CV was quantified by calculated %CV amongst all wells from a single stamp. Equation 1 was utilized for the calculation of these %CVs. Statistical analysis was conducted for each condition where SNR was calculated and was tested using 2-way ANOVA (or mixed effects analysis with Geiser -Greenhouse corrections), where nonsignificant (ns) statistical values, P = 0.5, and 1-star showing significance with P<0.1, 3-star with P <0.001 and 4-star with P<0.0001.