Fig. 2: DUSK recovers the concentration of CSI accurately in simulations.
From: Deep-prior ODEs augment fluorescence imaging with chemical sensors

A Reconstruction of simulated data. Top row: XY image at frame 29. Bottom row: Maximum-intensity projection along Y. From left to right: Measured fluorescence, fluorescence denoised (predicted) by DUSK, ground-truth concentration, concentration estimated by DUSK, and concentration estimated by the baseline method (which assumes that the reaction is at equilibrium). The RSNR over the whole spatiotemporal volume is indicated at the bottom of each of the two methods. Images are saturated for the sake of visualization. B Top image: Time lag (in number of frames) of the traveling wave for the concentration recovered by DUSK. For each pixel, the time lag is defined as the frame at which the wave reaches its maximal value. Bottom image: Branches obtained by segmenting the temporal maximum projection of the concentration recovered by DUSK. C Temporal profiles of the fluorescence (top row) and of the concentration (bottom row) on the veins (left column) and over the background (right column) for different methods. The temporal profiles were temporally shifted according to the time lag of the traveling wave. The solid curve is the median, and the interquartile range (25th and 75th percentiles) is shaded. D Temporal profiles of the concentration in the veins (top row) and over the background (bottom row). The solid curve is the median, and the interquartile ranges are shaded (25th and 75th percentiles). The concentration recovered from simulated data is downsampled by the factors D = 1, 2, 4, 8.