Inclined preclinical research treadmill
for rodentsfor rabbitsindirect calorimetry

Inclined preclinical research treadmill - Shanghai TOW Intelligent Technology - for rodents / for rabbits / indirect calorimetry
Inclined preclinical research treadmill - Shanghai TOW Intelligent Technology - for rodents / for rabbits / indirect calorimetry
Inclined preclinical research treadmill - Shanghai TOW Intelligent Technology - for rodents / for rabbits / indirect calorimetry - image - 2
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Characteristics

Type
inclined
Animal type
for rodents, for rabbits
Other characteristics
indirect calorimetry

Description

The small animal treadmill is mainly used for training and metabolic research on mice, rats, rabbits, and other animals. Its use can make training quantification more accurate, and it is also necessary experimental equipment for animal physical fitness/endurance/sports injury/running nutritional drugs/sports physiology and pathology research. The device is controlled by a 7-inch touch screen, which can turn the power on or off, adjust the current size of electrical stimulation, shield the corresponding channel, and preset the number or time of electric shocks to determine when the small animal is exhausted. The treadmill tilt angle is adjustable from 0 to 30 °. Product Features Operation mode: Touch screen manual operation Number of channels: 5 runways, modular design, adjust the number of runways as needed, each runway opens independently, and the length can be adjusted independently (30-60cm); Motor: The system adopts imported servo motors with high accuracy (1/115200), fast response speed (1ms), and low noise (<30dB) Motor control: Adopting closed-loop feedback control. High control accuracy, strong real-time performance, and speed control range of 0-100m/min. Electrical stimulation: Using a DC constant current adjustable stimulation method, the stimulation range is 0-4.5mA, with a step of 0.05mA Signal detection: The system adopts current detection to detect the number of electric shocks, solving a series of problems in previous tube detection, including slow response, blind spots, poor anti-interference ability, and poor signal accuracy, which have been effectively solved.

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