Labmaze Animal Behavior Analysis Software V3.0
The animal behavior trajectory analysis platform is a universal motion trajectory recording and analysis system that uses image processing technology to automatically track and record animal activities through video cameras and computers. It can be applied in neuropharmacology, learning and memory pharmacology, anti-aging pharmacology and new drug neurology Systematic general pharmacology and toxicology research can also be used for basic neuroscience research.
Pre-consultationThe animal behavior trajectory analysis platform is a universal motion trajectory recording and analysis system that uses image processing technology to automatically track and record animal activities through video cameras and computers. It can be applied in neuropharmacology, learning and memory pharmacology, anti-aging pharmacology and new drug neurology Systematic general pharmacology and toxicology research can also be used for basic neuroscience research. Suitable for Morris water maze test, open field test, open field test, spontaneous activity, dark avoidance test, T-maze, Y-maze, radial maze, elevated plus maze, eight-arm maze, Barnes maze, conditioned place preference test, Various animal experiments such as Zero maze, hole experiment, platform jumping experiment, and new object recognition. In addition to the basic functions of automatic tracking and recording of animal activity trajectories, it also has the functions of recording various animal behavior events that cannot be automatically recognized by the video system through the event recorder, importing and re-analysis of trajectory data, experimental data management and real-time recording functions, and can receive 16 It can control 12 channels of external input signals and control 12 channels of external output signals, which fully reflects the advantages of combining automation and flexibility. Simple setup, flexible operation and high cost performance.
1. The animal trajectory tracking system is suitable for video analysis software of various common mazes, including: open field / elevated / light and dark box / conditioned place preference / T maze / Y maze / eight-arm maze / forced swimming / tail suspension / Elevated plus maze/Barnes maze/shuttle/dark avoidance/jumping platform/manipulation box/self-administration/optogenetic binding experiment/calcium signal binding experiment/multi-channel in vivo electrophysiological experiment binding experiment/fear box/shock/motor rhythm /touch screen system, etc.; supports up to 64 simultaneous experiments of the same or different
2. The software can analyze more than 200 indicators such as the incubation period of animals, the number of visits to each quadrant or area, the residence time, the percentage of target quadrant searches, moving distance, speed, and rotation between areas;
3. The software has a general experimental procedure editing function, which is convenient for editing the experimental procedures mentioned in any literature, such as self-administration, drinking water electric shock, 5-9 hole nose probe and other experimental procedures; the software has head, center point, tail root and other experimental procedures. With three-point tracking function, the software needs to easily draw the exploration area, and judge whether the animal is exploring the object through the head point;
4. The stability of the three-point tracking function of the head, center point and tail root is the core of this experiment, ensuring that the head and tail root do not jump;
5. Count animal visits to new objects and old objects, stay time, trajectory diagrams, timing diagrams, 2D and 3D heat maps;
6. The software has the function of rights management, the administrator assigns user accounts and manages user rights;
7. Observation area setting, labmaze center fixed-point drawing method is convenient to draw a maze of any shape, and corresponding labels can be added to the observation area to facilitate data statistics;
8. After the experiment, it is found that a certain area forgot to draw, such as the central area forgot to draw, you can use the labmaze center fixed-point drawing method to temporarily add the central area, without re-analyzing the video, the software can directly get the results of the central area;
9. Support two methods of online analysis and offline analysis, allowing two methods to exist simultaneously in one experiment; support batch analysis of offline video, batch export of data and trajectory graph;
10. The software provides real-time data analysis function, real-time display of the animal's movement speed, fast movement, slow movement, and the current pixel size of the animal;
11. Tracking methods: grayscale method, static background, dynamic background, simple model, AI algorithm, fish model, color tracking, frequency tracking, three-point tracking and other schemes;
12. The animal movement track tracking system has high scalability. One set of software is compatible with all the above experiments, which is convenient for future platform expansion and upgrade, and the secondary expansion software will no longer cost;
13. In addition to the track tracking function, the software also has the activity monitoring function. The unique algorithm for forced swimming, tail suspension and fear experiments can accurately analyze the still time of animals;
14. The software emits sounds of any frequency, white noise, and sounds of different sound intensities of multiple frequencies in the same experiment through the input and output port devices;
15. The software can trigger electrical stimulation, gas stimulation, signal lights, horns, microinjection pumps, automatic feeders, in vivo multi-channel electrophysiology, optogenetics, calcium signals and other equipment;
16. The software can detect the signals of infrared sensors, gravity sensors, pressure rods, nose probes, touch screens, diet, drinking water and other hardware signals, and trigger corresponding modules to work through animal status information, event information, time information, and space information to achieve delay-free synchronization. , to expand behavioral experiments to a larger dimension;
17. Equipped with a top shooting bracket, which is relatively fixed with the bottom bracket, equipped with an industrial camera;
18. The software is allowed to be installed on multiple computers, and the software is allowed to work on a laptop computer, which is convenient for data analysis;
19. The labmaze area superimposes the three-point multiple method, and the experimental data is extremely repeatable; the interaction frequency, interaction time, and interaction mode: head-head interaction, head-body interaction, head-tail interaction;
20. The synchronization accuracy of software and all TTL signal hardware is less than or equal to 10 milliseconds; no delay is realized
21. Labmaze real-time dynamic scene multiple three-point data analysis function method; the software has strong anti-interference ability and filtering ability, even if there are more cables to interfere with the picture, it is necessary to ensure that two animals can be accurately distinguished;
22. Labmaze’s external conditions control the experimental process function infinitely; the AI algorithm can be upgraded. In the initial stage of the software, the classification, integration and convolution algorithm is learned through no less than 60,000 pictures of animal poses, and a database of animal social behaviors is obtained.
Some published articles
1.The Effects of 4-Methylethcathinone on Conditioned Place Preference, Locomotor Sensitization, and Anxiety-Like Behavior: A Comparison with Methamphetamine
2.Intranasal tetrandrine temperature-sensitive in situ hydrogels for the treatment of microwave-induced brain injury
3.Erythropoietin improves hypoxic-ischemic encephalopathy in neonatal rats after short-term anoxia by enhancing angiogenesis
4.Establishment of the concurrent experimental model of osteoporosis combined with Alzheimer's disease in rat and the dual-effects of echinacoside and acteoside from Cistanche tubulosa
5.Amelioration of Alzheimer’s disease pathology by mitophagy inducers identified via machine learning and a cross-species workflow
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