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Three-dimensional culture human myocardial cell pulsation detection method based on image edge extraction

A technology for cardiomyocytes and three-dimensional culture, applied in image analysis, image enhancement, image data processing, etc., can solve the problems of complex operation and slow processing speed, and achieve the effect of improving computing efficiency

Active Publication Date: 2020-03-06
ANHUI NORMAL UNIV
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This method has the disadvantages of complicated operation and slow processing speed.

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  • Three-dimensional culture human myocardial cell pulsation detection method based on image edge extraction
  • Three-dimensional culture human myocardial cell pulsation detection method based on image edge extraction
  • Three-dimensional culture human myocardial cell pulsation detection method based on image edge extraction

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[0024] The specific implementation of the present invention will be described in further detail below by describing the embodiments with reference to the accompanying drawings, so as to help those skilled in the art have a more complete, accurate and in-depth understanding of the inventive concepts and technical solutions of the present invention.

[0025] figure 1 The flow chart of the three-dimensionally cultured human cardiomyocyte pulsation intelligent detection method based on image entropy provided by the embodiment of the present invention, the method specifically includes the following steps:

[0026] S1. Read the frame of the cardiomyocyte beating video sequence, and use the first frame of the cardiomyocyte beating video sequence frame as a reference image;

[0027] In the embodiment of the present invention, the video frame of the cardiomyocyte beating image is an image extracted frame by frame from the cardiomyocyte beating video, which is obtained by shooting three...

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Abstract

The invention discloses a three-dimensional culture human myocardial cell pulsation detection method based on image edge extraction. The three-dimensional culture human myocardial cell pulsation detection method specifically comprises the following steps: taking a first frame of a myocardial cell pulsation video sequence frame as a reference image; converting the reference image into a grayscale image; obtaining a sub-image of each myocardial cell cluster; extracting coordinates and gray values of edge position points of each myocardial cell group, and calculating a gray average value of reference edge points of each myocardial cell group; taking a sequence frame of a subsequently acquired myocardial cell pulsation video as a real-time image, and carrying out parallel graying processing; according to the coordinate positions of the reference edge points in the reference image, calculating a gray average value of the reference edge points of each myocardial cell group in the real-time image; drawing a myocardial cell pulsation curve of each myocardial cell cluster; and detecting the cardiac muscle cell pulsation frequency and amplitude in the cardiac muscle cell pulsation curve. Thecardiac muscle cell pulsation characteristics are automatically detected based on the image edge extraction technology, and the three-dimensional culture human myocardial cell pulsation detection method has the advantages of being intelligent, non-invasive, low in cost, repeatable and real-time in processing.

Description

technical field [0001] The invention belongs to the technical field of beating characteristic detection of cardiomyocytes, and more specifically, the invention relates to a three-dimensional cultured human cardiomyocyte beating detection method based on image edge extraction. Background technique [0002] Cardiomyocytes differentiated from human stem cells play an important role in the study of heart disease, toxicology, and new drug creation. The three-dimensional culture of human cardiomyocytes is a new culture system, which overcomes the single-layer limitation of traditional two-dimensional adherent cell culture. By simulating the microenvironment of cell growth in the body, it has the advantages of intuitive cell culture and controllable conditions. . Detecting the beating frequency and intensity of cardiomyocytes can intuitively reflect whether the heart is diseased, which is of great value to medical and pharmaceutical research. In terms of detecting the beating fre...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06T7/12G06T7/181
CPCG06T7/0012G06T7/12G06T7/181G06T2207/10061G06T2207/10016G06T2207/10024G06T2207/30048
Inventor 陈浩刘锐冯友宏
Owner ANHUI NORMAL UNIV
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