High-throughput low-cost digital lickometer system for the assessment of licking behaviours in mice

Abstract

Background

Proper hydration is essential for maintaining health and supports various biological processes, including temperature regulation, immune function, nutrient delivery, and organ function. Visual assessment has traditionally been used to quantify liquid intake, although technological advances in optical and electrical sensors now offer higher accuracy and larger potential for automatic operation with millisecond precision and individual lick resolution.

New method

We describe an inexpensive electronic sensor board to monitor mouse licking behavior. The system is equipped with integrated filtering and data preprocessing steps. It measures lick count, frequency, width and interlick intervals with high resolution, allowing the real-time monitoring of complex licking patterns in several mice in their respective home cages over prolonged periods.

Results

Our lickometer provides two-millisecond resolution, efficiently detecting variations in licking behaviors in mice. The system is adapted to monitor licking behaviors in up to 12 mice simultaneously. Lick count, duration and interlick intervals, along with preference for sweet water were monitored over two days, revealing variations in licking patterns across light and dark phases extended over prolonged periods.

Comparison with existing methods

Our lickometer allows for monitoring licking behaviors and dynamics. It can be adapted to conventional mouse cages using electrical circuits. It is open-source, cost-effective, efficient, and can be utilized in real-time for large cohorts, representing an ideal tool for studying ingestive dynamics in different environmental and pathological contexts.

Conclusion

We have developed a novel, cost-effective, and efficient device to monitor ingestive behaviors in mice. The throughput of our device allows for monitoring several mice simultaneously while it can be applied directly to a conventional mouse cage, simplifying its implementation into pre-existing experimental setups.