Calculation method of animal transfer behavior and application thereof

A calculation method and animal technology, applied in the field of circle-circling behavior identification and calculation, can solve the problems of equipment cost and hardware threshold, the influence of natural behavior of animals, and the inability to accurately identify drugs, so as to avoid qualitative subjective judgment, overcome the individual differences of animals, Manpower saving effect

Active Publication Date: 2019-09-27
安徽中盛溯源生物科技有限公司
View PDF4 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Early monitoring of animal rotation behavior was mainly based on direct observation and manual recording. These methods have many problems such as qualitative subjectivity, time-consuming and labor-intensive.
Most of the existing automatic counting devices need to paste or bind magnets or paste color marks on the surface of animals, which has a certain impact on the natural behavior of animals and also brings certain difficulties to experimental operations.
At the same time, the most common magnet-type counter needs to be equipped with a specific magnetic rotor sensing device, so there are thresholds in equipment cost and hardware
Devices that adopt machine vision recognition and video camera tracking have lower hardware requirements, but the algorithms used in existing commercial products are based on the calculation of the center of mass motion trajectory, which cannot accurately identify specific drugs and diseases driven by more intense diseases. Small wheelbase circling behavior, for example, when unilateral Parkinson's disease model mice have strong lesions, they often show the behavior of circling in situ with a wheelbase smaller than the body axis length or even zero after being stimulated by drugs

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Calculation method of animal transfer behavior and application thereof
  • Calculation method of animal transfer behavior and application thereof
  • Calculation method of animal transfer behavior and application thereof

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0058] The present embodiment discloses a calculation method for mouse circle behavior, comprising the following steps:

[0059] S1: After putting the unilateral Parkinson's disease model mouse into the container, start to record the image;

[0060] S2: Select a frame in the image, and count the gray distribution;

[0061] S3: Calculate the threshold that can distinguish the mouse from the background, and binarize each frame of image with the threshold;

[0062] S4: After the morphology of the animal is filled, calculate the normalized second-order central moment, obtain the angle of the mouse in each frame, and obtain an array of angles;

[0063] S5: Take the first derivative of the angle array, and count the total number of positive peaks and negative peaks respectively. By ignoring the number after the decimal point, half of the difference between the total number of positive peaks and the total number of negative peaks is the net number of turns of the animal .

[0064]...

Embodiment 2

[0082] This embodiment involves a comparison between the manual counting method and the algorithm disclosed in Embodiment 1 for the same video file within 30 minutes. Except that the calculation method of the number of circles is different, other test conditions are exactly the same. The test results are shown in Table 1. The difference between the automatic counting and the manual counting net rotations was compared by paired t-test, and the p-value was 0.2956, which can be regarded as no statistical difference. Looking at the specific numerical difference again, the absolute value of the largest difference is 2, which does not exclude the error of manual counting, and when calculating the net number of revolutions per minute, the difference is 0.06 circles per minute, which is not considered a significant difference in animal experiments. Therefore, this algorithm can be used as an accurate substitute for manual counting in animal rotation experiments.

[0083] Table 1 The c...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention relates to the field of video acquisition and image analysis and identification, in particular to a method for identifying and calculating a transfer behavior of a tested animal under the driving of a specific disease and a drug by using machine vision. The calculation method of the animal transfer behavior comprises the following steps of recording an image; selecting one frame from the image, and counting the gray level distribution; calculating a threshold value capable of distinguishing an animal from a background, and binarizing each frame of image by taking the threshold value as a boundary; calculating a normalized second-order central moment, obtaining the angle of the animal in each frame, and obtaining an angle array; taking a first-order derivative of the angle array, respectively counting the total number of the positive peaks and the negative peaks, and obtaining a half of the difference value between the total number of the positive peaks and the total number of the negative peaks as the net transfer number of the animal through a method of not counting digits after decimal points. The method is small in error and accurate in data, is completely free of intervention to the animals and is capable of replacing the manual counting.

Description

technical field [0001] The invention relates to the fields of video acquisition and image analysis and recognition, in particular to a recognition and calculation method for the circle behavior of tested animals driven by specific diseases and drugs by using machine vision. Background technique [0002] There are about 600 million patients with nervous system diseases such as Parkinson's disease, cerebral ischemia, brain tumor and spinal cord injury in the world, and with the acceleration of population aging and the influence of multiple factors such as economy, society and environment, The number of patients with these diseases is increasing year by year, which has caused a huge burden on the development of society and economy. [0003] For years, neuroscientists and neurologists have sought new research tools and treatments for the nervous system, including Parkinson's disease, cerebral ischemia, brain tumors and spinal cord injuries. In order to study the relationship be...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00
CPCG06V40/20G06V40/10
Inventor 许晗
Owner 安徽中盛溯源生物科技有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products