Figure 1
Workflow of calcium imaging analysis with CaImAn and Pluvianus. Pluvianus is positioned at the end of the CaImAn pipeline and serves as a manual verification and curation tool focused on component selection.
Figure 2
Main GUI of Pluvianus. The interface displays temporal (top) and spatial panels (bottom right), as well as a scatter plot of the component evaluation metric (bottom left). All panels are synchronized to the selected component and time point.
Figure 3
Assessment of the completeness of component extraction on mouse visual cortex two-photon data. With K = 4, multiple false negatives were observed (red arrows), which are the brightest patches on the MaxResAll image. Re-running the CaImAn CNMF algorithm with K = 20 detected all prominent activity sources (green arrows), which were therefore removed from the MaxResAll residual image (right). The remaining activity (e.g., yellow arrow) is comparable to the signal from components correctly identified but later rejected during curation (red delineated components in MaxResNone). Scale bar: 20 µm.
Figure 4
Visualization of original and processed component activity. A representative component’s original fluorescence trace (calculated as the mean fluorescence of the movie within the component contour, blue) is shown alongside the corresponding CNMF output (detrended ΔF/F trace, red). The traces demonstrate that the algorithm successfully removed background fluctuations induced by the visual stimulus (indicated by black arrows). This view also allows verification that no fast-rising signal increase occurs at the onset of the visual stimulus (purple arrow), which would indicate stray light contamination in the imaging setup. The spatial widget further allows verification that the activity associated with this component is confined to the contour at the peaks of the ΔF/F trace (inset).