Fig. 5: Denoising population voltage imaging data.
From: Statistically unbiased prediction enables accurate denoising of voltage imaging data
a, Images after baseline correction from mouse dataset. The top shows the baseline-corrected raw data. The bottom shows the baseline-corrected SUPPORT-denoised data. Boundaries of two ROI are drawn with cyan lines. Scale bar, 40 μm. b, Distribution of the SNR for all pixels from raw and SUPPORT-denoised data after baseline correction, n = 65,536. c, Traces from raw and SUPPORT-denoised data extracted from two ROI in a. Traces for the smaller temporal region are plotted on the right. The enlarged temporal region is colored blue and brown. d, Images from the zebrafish dataset. Baseline and activity components are decomposed from raw data and SUPPORT-denoised data. The baseline component with a gray colormap and the activity component with a hot colormap are overlaid. Boundaries of 20 ROI are drawn with cyan lines. The top shows raw data. The bottom shows SUPPORT-denoised data. Scale bar, 20 μm. e, Distribution of SNR for pixels inside the ROI from raw and SUPPORT-denoised data, n = 5,722. f, Traces for 20 ROI from raw and SUPPORT-denoised data. The left shows raw data. The right shows SUPPORT-denoised data. g, Enlarged view of traces from colored regions in f is plotted. Traces from raw data are overlaid with a gray color and denoised data are overlaid with corresponding color in f.
