Bacterium inhibition level identification method based on plate experiment and deep learning

A technology of deep learning and recognition methods, applied in character and pattern recognition, instruments, biological neural network models, etc., can solve the problems of occupying the working time of operators and consuming energy, so as to reduce the difficulty of production, easy to operate, and reliable results Effect

Active Publication Date: 2018-05-29
SOUTH CHINA AGRI UNIV
View PDF5 Cites 8 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

These operations are cumbersome manual operations, occupying the working time of the operator and consuming a lot of energy

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
  • Bacterium inhibition level identification method based on plate experiment and deep learning
  • Bacterium inhibition level identification method based on plate experiment and deep learning
  • Bacterium inhibition level identification method based on plate experiment and deep learning

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0077] Such as Figure 6 As shown, the present embodiment is based on the plate experiment and the bacteriostatic degree identification method of deep learning, comprises the following steps:

[0078] S1. Determine the position of the drug-sensitive paper: preprocess the original image, determine the position of the drug-sensitive paper, facilitate the measurement of the size of the inhibition zone, and cut into a single image of the drug-sensitive paper as the input of the deep learning model;

[0079] The above-mentioned original image contains a whole plate, so it is necessary to find the position of each drug-sensitive paper in the plate in order to carry out subsequent corresponding identification of the inhibition zone and paper identification. The specific method can use image processing techniques such as Hough transform to find the circular area where the drug-sensitive paper is located. After the area is determined, it can be used to identify the size of the inhibiti...

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 bacterium inhibition level identification method based on a plate experiment and deep learning. The method comprises the following steps of: S1, determining the position of amedicine sensitive paper sheet; S2, measuring the size of an inhibition zone; S3, constructing a sample set: constructing a sample set having a label through using a deep learning model, wherein thesample set can be used for training a model; S4, constructing and training a model: constructing a model that can be used for identifying the medicine sensitive paper sheet, and training the model byusing the sample set; S5, adopting the model to identify the medicine sensitive paper sheet; and S6, judging the bacterium inhibition level of a medicine: identifying the type of the medicine by usingmodel, inquiring a corresponding bacterium inhibition standard from a database, determining an interval to which the diameter of the inhibition zone belongs in the standard, and obtaining the bacterium inhibition level of the medicine. With the method of the invention adopted, an operator only needs to photograph a plate image so that the operator can identify the medicine type to which the medicine sensitive paper sheet belongs and the size of the inhibition zone corresponding to the medicine type from the image, and therefore, the automatic identification of bacterium inhibition levels canbe possible.

Description

technical field [0001] The present invention relates to the technical field of bacteriostasis identification, in particular to a bacteriostasis identification method based on plate experiments and deep learning. Background technique [0002] A petri dish, also called a petri dish, is a laboratory vessel used for microorganism or cell culture, consisting of a flat disc-shaped bottom and a cover, generally made of glass or plastic. The materials of petri dishes are basically divided into two categories, mainly plastic and glass. Glass can be used for plant materials, microbial culture and animal cell adherent culture. The plastic ones may be made of polyethylene materials, and there are disposable and multiple-use ones, which are suitable for laboratory inoculation, streaking, and isolation of bacteria, and can be used for the cultivation of plant materials. [0003] Drug susceptibility test is referred to as drug susceptibility test (or drug resistance test). A microbiologi...

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 Applications(China)
IPC IPC(8): G06K9/62G06N3/04
CPCG06N3/045G06F18/2415G06F18/214
Inventor 孙坚李西明翁佳林刘雅红郭玉彬崔泽华廖晓萍杜治国
Owner SOUTH CHINA AGRI 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