Rat sports ability detecting method and system

Abstract

The present invention is a detection method and detecting system for the rodent sports ability, which is characterized in that the detecting system comprises an experimental box made by a metal grid bottom plate and an organic glass plate, a video camera, a computer, a computer system and detecting software. Through the video camera arranged outside the experimental box, the rodent is placed in the experimental box and the rodent is able to walk on the metal grid bottom plate. Number that the rodent fall from the metal grid bottom plate of the experimental box is counted. Therefore damage degree of the rodent sports ability is reflected. Image data of the rodent walking process is input into the computer through the video camera. The detecting software of the computer can perform the automatic identification, detection, analysis and record. The present invention improves experimental condition and provides an urgently required detection method and detecting system in the field for a long period. The present invention possesses advantages of high degree in automatic control and detection, accurate record, reliable detecting data.

Description

technical field [0001] The invention relates to the fields of biology, medicine, pharmacy and digital image processing, in particular to a method and system for detecting the exercise ability of rats. technical background [0002] At present, in the fields of biology, medicine, pharmacy, etc., it is necessary to detect the exercise ability of mice used in experiments. For example, in some biological experiments, after mice are injured in a specific environment, their exercise ability will decline to a certain extent, and some experimental methods are needed to detect the damage to their exercise ability. [0003] The traditional method is to put the mouse to be tested into a sealed box with a hollow at the bottom. When the mouse's motor ability is normal, its legs will not fall out of the box; if its motor ability is impaired, its legs will fall out. Box, through manual counting, count the number of times that the legs of the mouse fall out of the box to determine the impai...

AI Technical Summary

Problems solved by technology

[0004] Traditional detection methods need to use human eyes to identify, which will bring a large degree of manual error

The main manifestations are: (1) Misjudgment: Generally, it is stipulated that the mouse leg must fall out of the box to a certain height to count as a drop, but it is difficult for the human eye to grasp this height, and it can only be judged by experience. (2) Leaked counting: During the counting process, a special person needs to keep an eye on the det

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