Phobos

Phobos automates detection and quantification of freezing behavior in rodents to measure associative fear memory.

Key Features:

• Automated parameter calibration: Parameters for freezing detection are automatically adjusted following a brief period of manual quantification to optimize detection performance.
• Manual reference quantification: A short manually scored video segment serves as the calibration reference for automated parameter adjustment.
• Freezing detection and quantification: Detects and quantifies episodes of freezing behavior as the primary behavioral output.
• Output format: Analysis results are exported in .xls format.
• Performance and variability: Validation indicates intra- and interuser variability comparable to manual scoring, supporting consistent measurements across users.

Scientific Applications:

• Fear memory assessment: Quantification of freezing as an indicator of associative fear memory in rodents.
• Behavioral neuroscience studies: Automated scoring to support large-scale or high-throughput experiments requiring consistent freezing measurements.
• Reproducibility and precision: Reduction of intra- and interobserver variability for experiments demanding high precision and reproducibility.

Methodology:

Optimization was performed using four distinct video sets to determine relevant detection parameters, establish the number of videos required for calibration, and set minimum criteria for reliable results; performance was validated by comparing outcomes from four different users, showing intra- and interuser variability comparable to manual scoring.