Check patentability & draft patents in minutes with Patsnap Eureka AI!

Protein spot matching method between two gel images based on multidimensional features of protein spots

A gel image and multi-dimensional feature technology, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve problems such as unsatisfactory matching accuracy, and achieve the effects of guaranteed accuracy, low false matching rate, and high matching accuracy

Inactive Publication Date: 2017-02-08
NANCHANG HANGKONG UNIVERSITY
View PDF5 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The accuracy of automatic protein spot matching between gel images is affected by factors such as background brightness, image deformation, and protein spot density. However, current protein spot matching methods usually only consider simple feature information such as the average gray level and position of protein spots, and the matching accuracy is not ideal. ,Room for improvement

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
  • Protein spot matching method between two gel images based on multidimensional features of protein spots
  • Protein spot matching method between two gel images based on multidimensional features of protein spots
  • Protein spot matching method between two gel images based on multidimensional features of protein spots

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0016] The present invention adopts such as figure 1 The flow chart of the method for matching protein spots between two gel images based on the multidimensional features of protein spots is shown to realize the matching of protein spots between two gel images. The specific implementation steps are as follows:

[0017] 1. Detection and quantification of protein spots in gel images

[0018] In the present invention, protein spot detection is performed on image A and image B respectively by using the labeling watershed method, and the protein spot set {P Ai |0≤i≤N A} and the protein point set of image B {P Bi |0≤i≤N B}, where N A and N B are the number of protein points detected in images A and B respectively, and each protein point includes information such as coordinates and range (edge ​​point set).

[0019] 2. Normalization of two gel images

[0020] 1) Grayscale normalization, calculate the mean value E and variance σ of pixels in images A and B respectively 2 , nor...

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

A method for matching protein spots between two gel images based on the multidimensional features of protein spots, comprising steps: 1) detection and quantification of protein spots in gel images; 2) normalization of two gel images; 3) extraction of multidimensional features of protein spots; 4) Coarse matching of protein spots between two gel images based on multidimensional feature matching; 5) Fine matching of protein spots between two gel images. The invention has the advantages of extracting multi-dimensional feature information of protein spots from the normalized gel images, utilizing the multi-dimensional features of protein spots to complete rough matching of protein spots between two gel images, and having high matching accuracy and low error matching rate. Advantages, effectively guarantee the accuracy of subsequent fine matching.

Description

technical field [0001] The invention relates to an image registration method, in particular to a protein point matching method between two gel images based on the multidimensional features of protein points. Background technique [0002] Differential protein spot extraction is one of the important research methods of proteomics, which can provide important basis for disease diagnosis, drug development and environmental pollution analysis. The matching of protein spots between gel images is a key step in the extraction of differential protein spots, and the accuracy of matching directly affects subsequent analysis and disease diagnosis. In the process of gel image acquisition, due to the influence of factors such as different time, illumination, sensor position, etc., there are some problems such as deformation and inconsistent background illumination among different images collected in the same experiment, which brings difficulties to the precise matching of protein spots. ...

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 Patents(China)
IPC IPC(8): G06F19/18
Inventor 熊邦书张郝东欧巧凤
Owner NANCHANG HANGKONG UNIVERSITY
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

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2025 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com