Fig. 8: CITE-On online cell detection performance on never-before-seen datasets. | Nature Communications

Fig. 8: CITE-On online cell detection performance on never-before-seen datasets.

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

Fig. 8

a–e Best parameter search for frame downsampling: F-1 score (pseudocolor) as a function of score threshold and number of frames for the ABOsup (a), ABOdeep (b), NFtrain (c), NFtest (d), and VPM (e) datasets. The maximal F-1 is indicated by the black rectangle. The pseudocolor scale in (e) applies to (a–d). For the ABOsup, ABOdeep datasets the sliding average frame downsampling approach was used, while for the NFtest, NFtrain, and VPM datasets, the step average approach was implemented. f–h Left: median projection of a representative t-series from the ABOsup (f), NFtrain (g), and VPM (h) datasets. GT (magenta) and online CITE-On detections (green bounding boxes) are shown. Right: bounding boxes (yellow) corresponding to true positives (TP) are shown. The greyscale in h applies also to f, g. i Boxplots showing online detection performance of Precision (gray), Recall (white), and F-1 (black) for all t-series in the ABOsup (N = 9), ABOdeep (N = 10), NFtrain (N = 19), NFtest (N = 9), and VPM (N = 9) datasets. The orange line in all boxplots is the median, the bounds of the boxes are 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. j F-1 values as a function of the fraction of processed t-series for ABO (green, N = 19 t-series), NFtest (red, N = 9 t-series), NFtrain (purple, N = 19 t-series), and VPM (brown, N = 9 t-series) datasets. Ten frames sliding averages for ABO; detection rate, 5 Hz. Step median of 20 frames and 200 frames for VPM and NF datasets; detection rate, 0.3 Hz and 0.035 Hz for VPM and NF datasets, respectively.

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