Monika Scholz edited figures/fig2/caption.tex  over 8 years ago

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\textbf{Entropy-based detection of pumping events. } (A) Overview of the work flow from raw imaging data to the final timeseries data. The individual steps are parallelized for faster analysis and only require minimal user input. (B) Pumping is visible in the small displacements of the grinder in the terminal bulb of the animal's pharynx (red box). During a pumping event, the difference image between two adjacent frame highlights the changes in the bulb. (second row). If no pump occurs, the difference image is mostly zero, as indicated by the blue color. (C) The distribution of intensity values in the difference image during a pump and a pause (red and gray, respectively). The histogram highlights that pumps have a larger amount of high intensity values, and thus an overall flatter distribution. (D) The resulting trajectories show the evolution of the entropy over time. Pumping events create characteristic spikes of high entropy. (E) Exemplary timeseries (blue) obtained from the automatic image analysis. The yellow dots indicate automatically detected peaks, which are found using a standard peak detection algorithm and selecting for a minimal height above the noise level. Each peak indicates a pumping event. \label{fig:entropy}