Fig. 2: CITE-On offline cell detection performance. | Nature Communications

Fig. 2: CITE-On offline cell detection performance.

From: A deep-learning approach for online cell identification and trace extraction in functional two-photon calcium imaging

Fig. 2

a Representative fluorescence median projection showing jRCaMP1a (red) and GCaMP6f (green) expressing CA1 neurons. b Ground truth (GT, magenta) and CITE-On detections (Det, green) for the jRCaMP1a channel of the image shown in a. c Same as in (b), but for the GCaMP6f channel. d Superposition of CITE-On detections on jRCaMP1a (cyan) and GCaMP6f (magenta) channels. e Representative median projection from the LIV dataset with GT (magenta) and CITE-On detections (green). f Boxplots showing performance as Precision (gray), Recall (white), and F-1 score (black) obtained with the offline CITE-On pipeline on the validation t-series of the LIV (N = 13), CA1 jRCaMP1a (N = 12), and CA1 GCaMP6f (N = 12) datasets. The orange line in all boxplots indicates the median, the bounds of the boxes represent the 75th and 25th percentiles (i.e., the interquartile range (IQR)), and the whiskers correspond to the highest value or lowest value of the distribution. If the lowest or highest values are outliers (i.e., >1.5 *IQR from the bounds of the boxes) the whiskers correspond to 1.5 *IQR. Outliers are represented as black diamonds.

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