Fig. 4: iCAFI allows for 16-fold accurate interpolation of particle motion prediction.
a, Image quality metrics comparison (SSIM, RMSE and PSNR) of NONE, BIL, DAIN and ZS on multistep image interpolation for every image frame between two ground truth input images. These values represent the averaged metrics over the entire dataset, which comprises 17 interpolated image slices. b, Temporal color-coded overlaid projection for visual comparison of 16× interpolated image sequences of ground truth (GT), NONE, BIL, DAIN and ZS; SSIM/RMSE/PSNR of image sequence shown in overlaid images of each interpolation technique. Red stars highlighting example of Brownian motion loss of CAFI compared with GT, and white arrows emphasizing areas of interest for interpolation discrepancies. c, Overlaid image-stack projections showing the errors between GT (green) and the interpolated results of NONE, BIL, DAIN and ZS (magenta) with matching overlaid parts (white); white boxes indicate zoomed-in sections and red arrows highlight regions of interest for error comparison (scale bars, 50 pixels; n = 17 frame).
