Figure 1.

3D paw kinematics and three-chamber social behavior analysis in mice. (A) Schematic of skilled food pellet reaching task in head-fixed mice. This setup allows simultaneous two-photon (2P) calcium imaging or electrophysiological recordings. (B) An example of the data processing with feeding of raw video frames to the deep learning algorithm to obtain the coordinates of a bounding box around the paw. (C) Representative images showing detected paws from two camera views when the paw is in different positions. (D) 3D trajectory of a single reaching attempt obtained from 2D coordinates of paw positions in two camera views. (E) Kinematic parameters such as velocity-time graphs can be obtained from the 3D trajectories. (F) Raw video-frame of three-chamber test. (G) Representative analysis showing detection of the head of the mouse (red circle), and the cup with a stranger mouse in (green circle), and without a mouse (blue circle). (H) Trajectory of the mouse seen in Video-3.