Co-localization analysis using Volocity, version 6.0.1
This co-localization analysis was performed on three-dimensional image stacks of the image shown in Fig. 2B. After sequential imaging of two channels, images were analyzed in Volocity. Images were first deconvolved using iterative deconvolution and then analyzed for co-localization using Volocity. Deconvolved images were thresholded, then co-localization was performed. Both Pearson's correlation coefficient and Global Pearson's correlation coefficients were obtained after selecting a region on the scatter plot to minimize background (50). Data were verified by using the method as described by Costes et al. (13). Co-localization coefficient indicates the relative degree of overlap between the signals and shows a significant co-localization (overlap) between both of the signals (green and red). In the thresholded image 70% of the total pixels were yellow, indicated by Pearson's correlation. In a nonthresholded image there was 98.1% overlap as noted by the Global Pearson's correlation. Overlay of TRPC3 and CSR was validated by calculating Pearson's coefficients.