Fig. 4: Application of the trained DNN-2 to high-speed (26 fps) 2P fiberscopy brain imaging in freely behaving mice. | Nature Communications

Fig. 4: Application of the trained DNN-2 to high-speed (26 fps) 2P fiberscopy brain imaging in freely behaving mice.

From: Deep-learning two-photon fiberscopy for video-rate brain imaging in freely-behaving mice

Fig. 4

a Imaging setup schematic of freely behaving mice. b Representative high-speed in vivo 2P images before (left, as input) and after (right, as output) DNN-2 enhancement. c Comparison between the DNN-2 input and output images for fine structures marked in the regions of interest (ROIs) I–IV in (b). d Representative dynamic images of neuron activities recorded at different time points. e Segmentation masks for the 21 neurons identified within the FOV obtained with the post-processing pipeline23. f Normalized calcium (GCaMP6m fluorescence) signals along with behavior registration for the 21 neurons. g Zoomed-in temporal dynamics for two randomly selected time windows as marked in (f). h Spiking process of neurons corresponding to different time points shown in (g). Scale bars in (b, d): 20 µm.

Back to article page