Myocardial cell mechanical beating detection method based on optical image analysis

A cardiomyocyte and optical image technology, applied in the field of cell optical image detection and analysis, can solve the problems of complex operation, high cost, complex chip processing technology, etc., and achieve the effect of simple operation steps and low cost

Inactive Publication Date: 2015-01-07
ZHEJIANG UNIV
View PDF4 Cites 5 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Therefore, the operation is complicated and there are limitations in drug application
Micromechanical methods, such as silicon micro-cantilever arrays an

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
  • Myocardial cell mechanical beating detection method based on optical image analysis
  • Myocardial cell mechanical beating detection method based on optical image analysis
  • Myocardial cell mechanical beating detection method based on optical image analysis

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0026] The present invention will be described in further detail below in conjunction with the accompanying drawings and specific embodiments, but the present invention is not limited.

[0027] The present invention is based on the cardiac muscle cell mechanical beating detection method of optical image analysis, and this method is realized on the cardiac muscle cell mechanical beating detection system, such as figure 1 As shown, the cardiomyocyte mechanical beating detection system includes: a computer 1, a CCD camera 3, an upright microscope 4 and a 96-well cell culture plate 5; wherein, the computer 1 and the CCD camera 3 are electrically connected by a USB connection line 2; the CCD camera 3 is fixed on the top of the upright microscope 4 by threads; the 96-well cell culture plate 5 is fixed on the stage of the upright microscope 4; the method includes the following steps:

[0028] (1) Cardiomyocyte culture: place the apex of the rat heart in pre-cooled high-glucose medium...

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 discloses a myocardial cell mechanical beating detection method based on optical image analysis. The method comprises the following steps: detecting the change of beating images of myocardial cells in mechanical beating by adopting image treatment and analysis techniques such as image acquisition, RGB (Red, Green, Blue) image-to-gray-image, image binaryzation and image matrixing by virtue of a myocardial cell mechanical beating detection system, and quantizing myocardial cell mechanical beating by adopting a beating image difference value to achieve the detection of a mechanical beating curve of the myocardial cells; and according to the obtained mechanical beating curve of the myocardial cells, calculating the beating rate and amplitude of the myocardial cells by virtue of a peak detection algorithm, and analyzing a mechanical beating state of the myocardial cells. Compared with an existing myocardial cell mechanical beating detection method, the myocardial cell mechanical beating detection method based on optical image analysis disclosed by the invention has the advantages that the method is mark-free and nondestructive, is low in cost and simple in operation step, and can be used for synchronously and directly detecting a cell beating image and analyzing the cell beating state, and the like.

Description

technical field [0001] The invention relates to cell optical image detection and analysis technology, in particular to a method for detecting cardiac muscle cell mechanical beating based on optical image analysis. Background technique [0002] In recent years, it has become a hot topic in the field of cardiology to study changes in the contractile function of cardiomyocytes induced by heart disease or drugs. Rhythmic contraction is the basic feature of cardiomyocytes and the source of power for the whole body's blood circulation system. It is closely related to the basic components of cardiomyocytes, such as microtubules, sarcoplasmic reticulum, and actin, and is an important reflection of cardiac function. In addition, drugs can also cause changes in the contractile function of cardiomyocytes. The detection of cardiomyocyte mechanical beating is of great significance in the field of medicine and drug research. At present, laser confocal microscopy calcium imaging technol...

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
IPC IPC(8): C12Q1/02G06T7/00
Inventor 王平苏凯麒胡宁王琴黎洪波邹玲曹端喜邹瞿超
Owner ZHEJIANG UNIV
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