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Related Experiment Video

Updated: Jun 25, 2026

Measurement of Tension Release During Laser Induced Axon Lesion to Evaluate Axonal Adhesion to the Substrate at Piconewton and Millisecond Resolution

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High-Precision Optical Fiber-Based Lickometer.

Artur Silva¹, Paulo Carriço¹, Ana B Fernandes^1,2

¹Champalimaud Research, Champalimaud Foundation, 1400-038 Lisbon, Portugal.

|July 18, 2024

Summary

This summary is machine-generated.

Researchers developed a low-cost, open-source optical lickometer to accurately measure licking behavior in animals. This new device overcomes limitations of existing methods, enabling better study of neurobiology and consummatory behaviors.

Keywords:

consummatory behavior lick microstructure lickometer open source optical

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Area of Science:

Neurobiology
Animal Behavior
Biomedical Engineering

Background:

Quantifying licking behavior is crucial for understanding neurobiological mechanisms of consummatory behaviors.
Traditional lickometers (electrical or optical) have limitations like interference, false readings, and susceptibility to external light.
Existing methods hinder precise measurement of lick microstructure and fluid intake.

Purpose of the Study:

To develop a low-cost, open-source optical lickometer.
To overcome the limitations of existing lick-measuring devices.
To provide a reliable tool for studying animal licking behavior and fluid intake.

Main Methods:

Designed an optical lickometer using a restricted infrared beam and optical fibers.
Incorporated a poke design to facilitate tongue access while excluding other body parts and light.
Integrated features for nose poke detection and visual cue presentation for behavioral tasks.

Main Results:

The developed lickometer demonstrates high sensitivity, precision, and reliability.
Validation experiments confirm its accuracy in quantifying licking behavior.
The device successfully integrated into a behavioral task for studying lick microstructure.

Conclusions:

The proposed open-source optical lickometer offers a cost-effective and robust solution for measuring licking behavior.
This tool has significant potential for advancing research in neurobiology, particularly when combined with techniques like neural imaging.
It enables detailed analysis of lick microstructure in freely moving animals.