Caenorhabditis elegans behavioral analysis method and system based on computer vision
A Caenorhabditis elegans, computer vision technology, applied in the field of computer vision, can solve problems such as large errors and low efficiency, and achieve the effects of reducing errors, improving analysis efficiency, and reducing uncontrollable interference
Pending Publication Date: 2022-07-01
CHINA AGRI UNIV
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[0003] In view of the problems of low efficiency and large errors in the analysis of behavioral indicators of Caenorhabditis elegans in the current scientific research, the purpose of the present invention is to provide a method and system for analyzing the behavior of Caenorhabditis elegans based on computer vision, The error in the analysis of the behavioral indicators of nematodes can be lower than the result of human naked eye observation, and the analysis and calculation efficiency can also be improved compared with human naked eye observation, saving users' time
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[0032] To make the objectives, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are some, but not all, embodiments of the present invention. Based on the described embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art fall within the protection scope of the present invention.
[0033] It should be noted that the terminology used herein is for the purpose of describing specific embodiments only, and is not intended to limit the exemplary embodiments according to the present application. As used herein, unless the context clearly dictates otherwise, the singular is intended to include the plural as well, furthermore, it is to be understood that when th...
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The invention relates to a caenorhabditis elegans behavioral analysis method and system based on computer vision, and the method comprises the steps: obtaining video data of caenorhabditis elegans, the video data containing a plurality of caenorhabditis elegans; performing image segmentation and clustering on the video data, and extracting position and attitude information of each insect body; according to the position and posture information of each nematode body, behavior indexes of the nematodes are obtained through analysis, and behavior index analysis charts and reports of the nematodes are generated and output. The nematode behavior index analysis error can be lower than the result of human eye observation, the analysis and calculation efficiency can be improved compared with human eye observation, and the time of a user is saved. The method can be applied to the field of computer vision.
Description
technical field [0001] The invention relates to the field of computer vision, in particular to a method and system for analyzing the behavior of Caenorhabditis elegans based on computer vision. Background technique [0002] Caenorhabditis elegans is an important model organism with clear genetic background, short life cycle and easy observation, so it has been used in a large number of experimental studies. The behavioral indicators of C. elegans are important indicators to measure the state of the worm, including movement speed, head swing frequency, body bending frequency, Omega bending frequency, etc. In scientific research, the observation of behavioral indicators of Caenorhabditis elegans often adopts the method of visual observation of the experimenter, which is inefficient and cannot observe a large number of worms at one time; and the error is high, and it is easily disturbed by the external environment. Computer vision technology refers to the recognition, tracking...
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IPC IPC(8): G06V40/20G06V20/40G06V10/26G06V10/82G06N3/04
CPCG06N3/045
Inventor 李平兰王世博尚楠
Owner CHINA AGRI UNIV