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Labmaze Animal Fine Behavior Quantification System

Behavioral analysis of experimental animals is widely used in the study of motor function and advanced central nervous system functions such as learning and memory. Compared to other parameter analysis methods such as electrophysiology and biochemistry, it has the characteristic of comprehensively reflecting the overall state of experimental animals. Therefore, animal behavior experiments have become one of the important research methods in neuroscience fields such as neurophysiology and behavioral pharmacology. The development of animal behavior analysis methods has gone through stages such as artificial observation, sensor detection technology, and video tracking technology. In recent years, the application of digital image processing technology to track the trajectory of animal activities and calculate motion parameters such as distance and speed has become a cutting-edge technology in automatic analysis of animal behavior. The essence of this method is to ignore the animal's posture and its changes, treating the animal as a particle and only reflecting its movement state. While behavior is composed of body posture and changes in body posture, including changes in position. Body posture can reflect more psychological factors. Correct recognition of animal posture and accurate and detailed description of animal fine behavior have become a frontier direction of Ethology, especially rodent behavior research. AI Home Cage is a fully trainable computer vision system that allows computers to learn classification features and simulate the human eye's judgment criteria for each image. Automatically analyze complex rodent behavior.

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Description Parameters Resources

Behavioral analysis of experimental animals is widely used in the study of motor function and advanced central nervous system functions such as learning and memory. Compared to other parameter analysis methods such as electrophysiology and biochemistry, it has the characteristic of comprehensively reflecting the overall state of experimental animals. Therefore, animal behavior experiments have become one of the important research methods in neuroscience fields such as neurophysiology and behavioral pharmacology. The development of animal behavior analysis methods has gone through stages such as artificial observation, sensor detection technology, and video tracking technology. In recent years, the application of digital image processing technology to track the trajectory of animal activities and calculate motion parameters such as distance and speed has become a cutting-edge technology in automatic analysis of animal behavior. The essence of this method is to ignore the animal's posture and its changes, treating the animal as a particle and only reflecting its movement state. While behavior is composed of body posture and changes in body posture, including changes in position. Body posture can reflect more psychological factors. Correct recognition of animal posture and accurate and detailed description of animal fine behavior have become a frontier direction of Ethology, especially rodent behavior research.

AI Home Cage is a fully trainable computer vision system that allows computers to learn classification features and simulate the human eye's judgment criteria for each image. Automatically analyze complex rodent behavior.

System features:

1. Automatically recognize the position information of animals in the breeding cage, including standing, squatting, grooming, sniffing, digging, immobility, slow movement, fast movement, hanging, eating, drinking, and other behaviors.

2. The experimental animals are completely in a state of free movement and do not require special surgical treatment. The animals are in a free movement state throughout the entire process in a standard breeding cage. The feeding cage does not require special design, and ordinary feeding cages can be used for experiments. The entire experimental process video can be saved and replayed, and the number of occurrences and cumulative duration of each behavior can be automatically counted. The system has two modes to choose from: real-time analysis and video playback analysis, making it more convenient to experiment. The observation area can be freely drawn for different cages, and can be drawn into any shape of area, which can be used in conjunction with specific cages.

Quantitative analysis of mouse behavior

More than 3 million video data were manually annotated by professional researchers for computer AI vision system training. Through no less than 1500 repetitions of training and learning, the recognition accuracy of unfamiliar videos exceeded 90%, and the video accuracy in the system was as high as 99.7%. Strange videos hope to achieve higher accuracy, allowing the system to further self-learning unfamiliar videos to obtain satisfactory data.

Hardware features:

Industrial vision computer workstation, Solid-state drive, computer can integrate up to 10 gigabit PoE network ports. High speed industrial camera with a resolution of 1280 * 960, supporting a maximum frame rate of 120 frames per second,

Ensure stable operation and do not allow video frames to be lost.

The Circadian rhythm is automatically controlled and switched, and the ambient light brightness software is adjustable. There are no requirements for the experimental environment lighting, and the optical matching of the system itself is reasonable.

Rich data presentation methods

1. Real time fine behavior status marking

2.24h Fine Behavior Rhythm Chart

3.24h Fine Behavior Time Sequence Diagram

4. Time series heat map

5. Time series rhythm chart

6. Behavior Statistics Chart

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