Facial expressions in animals were already discussed by Darwin (1872) , and they were finally included in research thanks to the pioneer work on the Mouse Grimace Scale (2010) .

Mouse

MouseLab

builds upon this knowledge to offer an innovative method that allows:

  • Precise quantification of facial changes suitable for statistical analysis
  • Automatic, independent labeling of facial points by AI
  • Utilizes a transparent measurement process, no "black box" model
  • Up to a 75% reduction in labor time in comparison to manual labeling
  • Capturing of any emotional state, positive AND negative
  • Requires NO restraining of mice, promoting natural movement and expressions
  • Collect and visualise information from multiple experiments
Profile Detection
Mouse
MouseLab extracts a flow of profile images from the experiment to be processed. These profile images represent a timeline over the video and will contain the mouse's reaction to the stimulus.
Keypoint Detection
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After the set of profile images have been extracted, the keypoints are identified and located.

Feature Extraction

Features
After the facial points have been identified and validated, the various features are calculated.
Visualization
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And finally, when the whole experiment has been processed, MouseLab enables efficient visualization of the results.
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