Unlock instant, AI-driven research and patent intelligence for your innovation.

Automatic plaque assay method based on virus plaque image

A virus plaque and determination method technology, applied in the field of medical image processing and application, can solve the problems of increasing the work intensity of researchers, making mistakes, prolonging work time, etc., and achieving the effect of good interaction mechanism, good adaptability and simple operation

Active Publication Date: 2015-07-22
FUDAN UNIV
View PDF3 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This manual measurement method not only increases the researcher's work intensity, prolongs the working time, but also is prone to errors in the recording and entry process
[0004] Up to now, image processing technology has rarely been applied in the analysis of plaque experiment results, and automatic plaque determination has not been reported. The inventors of the present application intend to provide an automatic plaque determination method, especially based on multilinear Automated plaque assay method for supervised segmentation of plaque culture dish images to fill this gap in the art

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
  • Automatic plaque assay method based on virus plaque image
  • Automatic plaque assay method based on virus plaque image
  • Automatic plaque assay method based on virus plaque image

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0036]In this method, it is assumed that the color image of the petri dish as a result of the plaque experiment represents I(x, y, k), and its size is M×N×K, where K is the total number of channels, x and y are the pixel positions, and k is the The number of channels, then, after the following three steps to realize the details of the specific method, the automatic plaque determination can be carried out:

[0037] 1) Correction of image inconsistent brightness illumination,

[0038] Since I(x, y, k) has inconsistent brightness illumination, and the four corners of the image, i.e. upper left, upper right, lower left, and lower right, can reflect changes in brightness, therefore, it is necessary to use the blank parts of the four corners to estimate the uneven illumination field , so as to correct the original image illumination;

[0039] In this method, for each channel image, its brightness values ​​on the upper left, upper right, lower left, and lower right are obtained, tha...

Embodiment 2

[0066] In this example, the average plaque diameter calculated for each plaque assay image provided by three different virologists was compared with the manual results of experts, the results of Logistic regression and Ridge regression, and the results showed that, The precision of this method is similar to the result of manual measurement by experts, but the time spent by this method to process a plaque culture dish image is not more than 20 seconds.

[0067] Table 1 is the average diameter of plaques calculated on each plaque assay image provided by three different virologists. The manual results of experts, the results of Logistic regression and Ridge regression are compared here, (unit: pixel ).

[0068] Table 1.

[0069]

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 belongs to the field of medical image processing and applying, and relates to an automatic analysis method for the diameter of virus plaques. The method comprises the following steps: firstly, the illumination non-uniformity of an original image is corrected according to brightness data of the four corners of an obtained plaque image to obtain an enhanced image; then, making a small number of manual marks on the enhanced image to sample plaques and the background, and performing multi-linear regression prediction on the enhanced image in an image color space; classifying the image by pixel as a binary image according to a regression result; and carrying out morphological close operation smoothing on the binary image, and counting and making a statistical analysis of the area and other attributes of a connected region to realize automatic plaque image analysis. The method is simple to operate, efficient and fast, the assay accuracy is similar to the result of manual measurement by experts, and the time for processing a plaque culture dish image is no more than 20 seconds. The work efficiency of the experiment operation personnel can be effectively improved.

Description

technical field [0001] The invention belongs to the field of medical image processing and application. The invention relates to a virus plaque assay method, in particular to an automatic plaque assay method based on a virus plaque image, in particular to an automatic plaque assay method based on multi-linear degeneration supervised segmentation of a plaque culture dish image. This method is suitable for qualitative and quantitative analysis of petri dish images obtained from virus plaque experiments in virology or immunology, and then realizes accurate automatic plaque determination, including automatic calculation of statistical data such as area, diameter and number of plaques . Background technique [0002] Plaque assay is a widely used experimental method in virology. The principle is that after the virus infects cells, due to the limitation of the solid medium, the released virus can only expand from the initially infected cells to the periphery. After several prolif...

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): G06T5/00G06T7/00
Inventor 宋志坚史勇红叶荣王子龙刘红
Owner FUDAN UNIV
Features
  • R&D
  • Intellectual Property
  • Life Sciences
  • Materials
  • Tech Scout
Why Patsnap Eureka
  • Unparalleled Data Quality
  • Higher Quality Content
  • 60% Fewer Hallucinations
Social media
Patsnap Eureka Blog
Learn More