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Machine Vision Identification Analysis and Drug Sensitivity Identification System

A machine vision and drug-sensitivity technology, applied in the field of medical devices, to achieve the effects of improved recognition accuracy, compact structure, and clear imaging

Active Publication Date: 2017-09-01
北京浩辰星月科技有限公司 +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Observing the minimum inhibitory concentration of antifungal drugs with the naked eye (showing no color change) to obtain drug sensitivity results is a new method that is currently rarely used in hospitals

Method used

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  • Machine Vision Identification Analysis and Drug Sensitivity Identification System
  • Machine Vision Identification Analysis and Drug Sensitivity Identification System
  • Machine Vision Identification Analysis and Drug Sensitivity Identification System

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Experimental program
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Effect test

Embodiment 1

[0054] Machine vision identification analysis and drug sensitivity identification system based on XMVision, such as figure 1 As shown, it includes: an optical and digital image acquisition device 101, a digital image processing device 102 and a drug susceptibility identification analysis device 103, wherein,

[0055] The optical and digital image acquisition device 101 is coupled with the digital image processing device 102 for providing a light source and collecting a digital image, sending it to the digital image processing device 102, and using the polarizer and detector provided therein The polarizer enhances the digital image of the measured object, and uses the lens to correct the stereoscopic aberration of the digital image;

[0056] The digital image processing device 102 is respectively coupled with the optical and digital image acquisition device 101 and the drug susceptibility identification analysis device 103, and is used to receive the digital image and perform m...

Embodiment 2

[0083] The machine vision identification analysis and drug sensitivity identification system provided by the present invention is suitable for the drug sensitivity of the paper diffusion method and the drug sensitivity test of the microporous plate, and mainly includes: an optical and digital image acquisition device 101, a digital image processing device 102, and a drug sensitivity identification and analysis system. The device 103 has three parts.

[0084] In the optical and digital image acquisition device 101, the polarizer 205 and the analyzer 207 are used to enhance the image of the measured object, and the lens is used to correct the stereoscopic aberration; the digital image processing device 102 includes: a digital image processing module 301, drug-sensitive paper The pattern recognition control module 302 of sheet and culture medium type, the machine learning control module 303 of new paper sheet and new medium, the clustering algorithm of image form and drug sensitiv...

Embodiment 3

[0114] This embodiment is an application example, using the XMVision-based machine vision identification analysis and drug sensitivity identification system provided by the present invention to perform KB method drug sensitivity test inhibition zone measurement and paper type identification and training:

[0115] 1) Turn on the upper fill light and the lower fill light; clean up the items on the stage;

[0116] 2) After 60 seconds, enter the XMVision-YM workstation; scan the barcode and enter the isolated strain number; enter the microbial code;

[0117] 3) Place the petri dish, measure, obtain the measurement result, and judge the measurement result.

[0118] 4) When the diameter of the antibacterial zone needs to be adjusted, adjust the size of the antibacterial zone; when it is judged that the text is clear, conduct text recognition training, and when the text is not clear, it is necessary to correct the error and the adjustment is completed;

[0119] 5) The detection data...

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Abstract

The invention discloses a machine vision identification analysis and drug sensitivity identification system, comprising: an optical and digital image acquisition device, a digital image processing device and a drug sensitivity identification analysis device. The optical and digital image acquisition device is used to provide the light source and collect the digital image, send it to the digital image processing device, use the polarizer and analyzer set in it to enhance the digital image of the measured object, and use the lens to correct the stereoscopic image of the digital image Poor; the digital image processing device is used to receive digital images and perform motion capture. When the target object is perceived to be stacked, the image is filtered and the feature is enhanced. After the target sample image is obtained, the target sample type is determined according to the target sample characteristics and barcode information. The detection method is selected, the detection results are obtained, processed and then sent to the drug sensitivity identification analysis device; the drug sensitivity identification analysis device performs drug sensitivity identification through the pattern recognition algorithm combined with the preset CLIS identification standards, and gives the identification conclusion.

Description

technical field [0001] The invention relates to the field of medical devices, in particular to an XMVision-based machine vision identification analysis and drug sensitivity identification system. Background technique [0002] The disc diffusion method (Kindy-Bauer, KB method) is the most widely used routine drug susceptibility testing method in the medical field. A dry filter paper soaked with a certain concentration of antibacterial drugs is placed on an agar plate that has been inoculated with a certain amount of certain bacteria. . After incubation, a zone free of bacterial growth can appear around the disc. Measuring the size of the bacteria-free growth zone (inhibition zone) can determine the sensitivity of the bacteria to a certain drug. The KB method is simple and economical. It has been applied since 1976 and has accumulated a large amount of data. It has become the main basis for antibiotic use and the most commonly used method for drug resistance monitoring. [...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01N21/84G01N21/01G01N35/00
Inventor 徐英春杨启文孙宏莉王贺尹相龙
Owner 北京浩辰星月科技有限公司
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