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. 2021 Apr 14;17(4):e1008806. doi: 10.1371/journal.pcbi.1008806

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© 2021 Cai et al

This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

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Fig 4 — (A) Example of simulated data. Left. Average of movie across time. Right. Three example traces with different average spike amplitude. Higher spike amplitude are associated with higher signal to noise ratio. (B) The result of Mask R-CNN in segmenting the simulated movie (0.1 spike amplitude) laying over the correlation image. (C) Performance of VolPy, CaImAn, SGPMD-NMF, Suite2P, SpikePursuit, PCA-ICA and MeanROI on simulated data. Average F₁ score against ground truth in function of spike amplitude. (Left) All algorithms (including VolPy) were evaluated with the optimal threshold. (Right) Comparison with SpikePursuit, adaptive threshold in both cases. (D) Spike-to-noise ratio (SpNR) in function of spike amplitude. (E) Evaluation of VolPy on overlapping neurons. Average F₁ score detecting spikes in function of spike amplitude and overlap between two neurons.