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This repository is based on the lmt-analysis repository from Fabrice De Chaumont.
Find the original repository here: lmt-analysis
LMT-EYE is a comprehensive analysis tool designed to explore and analyze animal behavior data from LMT (Laboratory Mouse Tracking) experiments.
Database Analysis
Load SQLite databases from LMT experiments and automatically rebuild behavioral events using customizable detection algorithms.
Comprehensive Reports
Generate detailed HTML reports featuring activity metrics, movement trajectories, behavioral events, sensor data (temperature, humidity, light), and animal-specific summaries.
Custom Events
Extend the analysis framework by creating custom behavioral event detectors tailored to your research needs.
Comparative Analysis
Compare multiple experiments side-by-side to identify patterns, differences, and correlations across different experimental conditions or animal groups.
Data Exploration
Export tracking data as pandas DataFrames for further statistical analysis and visualization in your preferred tools.
LMT-EYE streamlines the entire workflow from raw tracking data to publication-ready visualizations, making it easier to extract biological insights from complex behavioral datasets.