Dual-mouse Tracking
Dual-mouse Tracking - Related Videos
04:35
Tracking Bacterial Infection Dynamics in a Mouse Using Bioluminescence
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2025
Source: Valentine, M. E., et al. Generation of In-Frame Gene Deletion Mutants in Pseudomonas aeruginosa and Testing for Virulence Attenuation in a Simple Mouse Model of Infection. J. Vis. Exp. (2020)This video demonstrates the use of bioluminescence to visualize and compare the in vivo behavior of virulent and attenuated bacterial strains in mice. It outlines the preparation of bioluminescent bacterial suspensions and their intraperitoneal injection into mice. The virulent strain exhibits...
12:08
Tracking Mouse Bone Marrow Monocytes In Vivo
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Cited by 6 •
2015
Monocytes are key regulators of innate immunity and play a critical role in the renewal of the peripheral mononuclear phagocytic system and in case of inflammation. This manuscript describes the procedure of real time imaging of the mouse calvaria bone marrow to study the monocyte mobilisation mechanism.
07:33
In vivo Dual Substrate Bioluminescent Imaging
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Cited by 20 •
2011
Herein we describe the methods to construct, visualize, and quantify the bioluminescent reactions of both firefly and renilla luciferase enzymes expressed in metastatic breast cancer cells during their growth and metastasis in vivo.
10:15
Mouse Short- and Long-term Locomotor Activity Analyzed by Video Tracking Software
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Cited by 27 •
2013
Locomotor activity (LMA) is a simple and easily performed measurement of behavior in mice. Coupling of video tracking software (VTS) and LMA allows for the improvement of specificity and sensitivity, especially when compared with the manual, line crossing method of LMA analysis. Additionally VTS allows long-term tracking of mouse LMA.
04:44
Dual Extracellular Recordings in the Mouse Hippocampus and Prefrontal Cortex
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2024
This protocol outlines the use of a custom-designed recording device and electrodes to record local field potentials and investigate information flow in the mouse hippocampus and prefrontal cortex.
FAQs
The analysis identifies each mouse and follows its body landmarks from frame to frame. These landmark trajectories support calculations of position, speed, orientation, distance, and contact. Because measurements are derived for both animals across the same sequence, the method quantifies relational changes during an interaction rather than relying only on a qualitative description of behavior.
Social behavior is relational, so the movement of one mouse must be interpreted alongside the movement of the other. Simultaneous recording allows researchers to examine who approaches, who avoids, when investigation occurs, and whether movements become synchronized. This paired perspective provides information that measurements from either animal alone cannot capture as directly.
Position and distance indicate how the animals move toward or away from one another, while contact can mark close interaction. Speed and orientation add information about movement intensity and direction. Examining these measures over time helps identify patterns of approach, avoidance, investigation, and coordinated movement under controlled behavioral conditions.
Researchers first obtain overhead video of the two mice under controlled conditions. Computer-vision or pose-estimation algorithms then identify each animal and follow selected body landmarks across video frames. The resulting trajectories are used to calculate position, speed, orientation, distance, and contact, producing quantitative measures for analyzing the interaction.
Movement measurements can be linked with neural recordings, stimulation, genetic manipulations, or disease models. This integration allows researchers to compare changes in social behavior with changes in neural activity or experimental condition. The resulting behavioral data help investigate circuits and mechanisms associated with communication, affiliation, aggression, and other interactions.
Quantitative movement patterns can show how mice approach, avoid, investigate, or coordinate with one another. When these behavioral measures are connected to neural recordings or manipulations, they provide a way to study the circuits and mechanisms underlying social communication and affiliation, as well as altered interactions associated with disease models.