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  1. Home
  2. Modular Tracking System For Treadmill-based Rodent Experiments.
  1. Home
  2. Modular Tracking System For Treadmill-based Rodent Experiments.

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Modular Tracking System for Treadmill-Based Rodent Experiments.

Thomas J Smith, Ghazaal Tahmasebi, Trevor R Smith

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
    |December 3, 2025

    View abstract on PubMed

    Summary
    This summary is machine-generated.

    This study introduces a new infrared (IR) tracking system for precise, real-time monitoring of animal movement on treadmills. The system accurately captures position and velocity, enhancing neuroscience research by synchronizing behavioral and neural data.

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    Area of Science:

    • Neuroscience
    • Biomedical Engineering
    • Animal Behavior

    Background:

    • Accurate tracking of animal locomotion is crucial for correlating behavior with neural activity in neuroscience.
    • Existing treadmill systems lack precise measurement of animal position and velocity, hindering detailed analysis.
    • There is a need for accessible, high-fidelity tracking solutions for rodent treadmill experiments.

    Purpose of the Study:

    • To develop and validate a novel modular tracking system for real-time monitoring of animal position and velocity on treadmills.
    • To provide a customizable and easily integrated solution for neuroscience research.
    • To improve the accuracy of behavioral data in rodent locomotion studies.

    Main Methods:

    • A modular system using 3D-printed components and infrared (IR) break-beam sensors was designed.
  • The system allows customizable configurations and supports digital/analog triggers for data synchronization.
  • Position and velocity data were collected from mice on a treadmill and compared with DeepLabCut (a machine learning pose-estimation tool).
  • Main Results:

    • The novel IR tracking system achieved real-time monitoring of animal position and velocity at 10 Hz.
    • Strong correlations (average Spearman's rank correlation r = 0.8) were found between the system's data and post-processed video tracking.
    • The system demonstrated accurate measurement of mouse locomotion at 0.1 m/s.

    Conclusions:

    • The developed modular IR tracking system offers an accurate and accessible solution for retrofitting existing treadmill setups.
    • This system enhances the precision of behavioral analysis in neuroscience by providing reliable real-time locomotor data.
    • It is particularly relevant for studying movement disorders in rodent models, offering precise tracking without complex computer vision.