CN102359939A - Method for detecting tubercle bacillus in sputamentum - Google Patents

Method for detecting tubercle bacillus in sputamentum Download PDF

Info

Publication number
CN102359939A
CN102359939A CN2011101530904A CN201110153090A CN102359939A CN 102359939 A CN102359939 A CN 102359939A CN 2011101530904 A CN2011101530904 A CN 2011101530904A CN 201110153090 A CN201110153090 A CN 201110153090A CN 102359939 A CN102359939 A CN 102359939A
Authority
CN
China
Prior art keywords
tubercle bacillus
sputum
slide
dyeing
detects
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN2011101530904A
Other languages
Chinese (zh)
Inventor
孙小蓉
黄么姑
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
WUHAN LANDING MEDICAL HI-TECH Ltd
Original Assignee
WUHAN LANDING MEDICAL HI-TECH Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by WUHAN LANDING MEDICAL HI-TECH Ltd filed Critical WUHAN LANDING MEDICAL HI-TECH Ltd
Priority to CN2011101530904A priority Critical patent/CN102359939A/en
Publication of CN102359939A publication Critical patent/CN102359939A/en
Pending legal-status Critical Current

Links

Images

Abstract

The invention relates to a method for detecting tubercle bacillus in sputamentum, which is characterized in that a thin sputamentum layer is uniformly coated on two to three slides, the fixation and dyeing are carried out, then, the decoloration and the re-dyeing are carried out through acid alcohol, a camera is used for scanning images on the slides and cutting the images, the shape features of cut cells are extracted, and the calculated feature value is used for automatically classifying the cells, so whether the tubercle bacillus exists in the sputamentum or not is detected. The method is used for automatically identifying the tubercle bacillus in the sputamentum, specimens are dyed through fluorescence dyeing agents, then, an image analysis system is used for detecting the tubercle bacillus in the sputamentum, simultaneously, the system can position the located view field of the tubercle bacillus according to the detected position of the tubercle bacillus on the slides, and great convenience is provided for the reinspection by doctors.

Description

A kind of method that detects tubercle bacillus in the sputum
Technical field
The invention belongs to the microorganism detection field, be specifically related to a kind of method that detects tubercle bacillus in the sputum.
Background technology
Pulmonary tuberculosis is a kind of common infectious disease in China, and its incidence of disease and number of the infected are all higher in the world.Except that images such as CT, tubercle bacillus is the most common and reliable diagnostic method in the inspection sputum, is used in clinical at present widely.The method of inspection sputum tubercle bacillus is modal to have two kinds, and a kind of is auramine dyeing, the row fluorescence microscopy; Another kind is acidophilia dyeing, bright field microscopy.Before the susceptibility of a kind of method inspection tubercle bacillus a kind of method in back is high.
Because every routine sputum sample originally needs 2-3 to open slide, every slide need be checked 100 more than the visual field, and therefore, the inspection doctor need check every routine sample for a long time, can only accomplish the sputum sample inspection originally about 20 examples every day.Doctor's level height, the content of tubercle bacillus in phlegm what etc. factor all can influence the positive rate of inspection.The positive rate of the general microexamination tubercle bacillus of external report in order to improve the recall rate of tubercle bacillus, has fewer companies researching and developing susceptibility and specificity that full-automatic image analysis system improves tubercle bacillus abroad about 20~60%.
But full-automatic sputum tubercle bacillus recognition system autoscan, automatic focus, automatic camera and automatic identification tubercle bacillus.The artificial diagnosis of contrast, susceptibility and the specificity of this system identification sputum tubercle bacillus reach more than 90%, and simple and efficient to handle, and repeatability and Quality Control property are stronger.This system will be more accurately, sensitivity diagnostic method efficiently more, can a kind of reliably diagnostic method easily be provided for the lunger.Thereby reduce mortality ratio lungy, saved a large amount of medical treatment costs, created huge economic and social benefit.
Summary of the invention
The object of the present invention is to provide a kind of method that detects tubercle bacillus in the sputum, the workload when this method can reduce diagnosis significantly, the while is more accurately, more sensitivity is diagnosed tubercle bacillus efficiently.
In order to realize the object of the invention, the inventor provides following technical scheme:
A kind of method that detects tubercle bacillus in the sputum comprises the steps:
(1) the sputum thin layer is evenly coated in 2-3 and opens on the slide, air dry adds behind the heat fixation with Auramine O dyeing, then through the acid alcohol decolouring with redye;
(2) slide after will dyeing is placed on microscopically, with camera slide is carried out scan image;
(3) gather and to focus on distinct image, image is carried out pre-service, pretreated image is cut apart;
(4) extract the shape facility of cutting apart the back cell, utilize the calculated feature values pair cell to classify automatically, thereby detect whether there is tubercle bacillus in the sputum.
Described a kind of method that detects tubercle bacillus in the sputum, wherein the camera described in the step (2) is high clear colorful fluorescence 1,400,000 pixel camera heads.
Described a kind of method that detects tubercle bacillus in the sputum wherein when the tubercle bacillus in the sputum being detected identification, utilizes the more smooth characteristic of strip characteristic and edge of tubercle bacillus that tubercle bacillus is discerned.
Described a kind of method that detects tubercle bacillus in the sputum, wherein if system detects tubercle bacillus is arranged on the slide, the doctor can reset through slide and carry out checking of microscopically.
Described a kind of method that detects tubercle bacillus in the sputum is wherein carried out acidophilia dyeing to the cell in the sputum, and the slide after will redying then is placed on microscopically, and the doctor checks the detected tubercle bacillus of system through double check function under the mirror.
Compared with prior art, the present invention has following advantage and obvious improvement: the workload when method provided by the invention can reduce diagnosis significantly, the while more accurately, more sensitivity is diagnosed tubercle bacillus efficiently.Be embodied in; The present invention at first carries out pre-service to the image of camera collection; Then image is cut apart, the feature of image shape after the computed segmentation utilizes the method for machine learning that the image after cutting apart is classified according to these eigenwerts; At last, detected tubercle bacillus image is arranged out by system.This system also provides the function of checking at microscopically simultaneously, and the doctor can carry out checking under the mirror to suspicious target.In addition, if system has detected tubercle bacillus, then can carry out normal dyeing to this sample, automatic platform can move to the slide after redying the position of tubercle bacillus automatically, and the doctor can directly examine the result that system detects at microscopically.
Description of drawings
Fig. 1 is the image after with fluorescent dye the sputum sample being dyeed, and square frame is detected tubercle bacillus among the figure.
Fig. 2 is the image after with fluorescent dye the sputum sample being dyeed, and square frame is non-tubercle bacillus among the figure.
Embodiment
Because tubercle bacillus demonstrates the characteristic of strip under fluorescent microscope, and other foreign material are not obvious like the characteristic of residual etc. the strip of: the impurity in the sputum, coloring agent, and out-of-shape.So; The present invention at first carries out pre-service to the image of camera collection; Then image is cut apart, the feature of image shape after the computed segmentation utilizes the method for machine learning that the image after cutting apart is classified according to these eigenwerts; At last, detected tubercle bacillus image is arranged out by system.This system also provides the function of checking at microscopically simultaneously, and the doctor can carry out checking under the mirror to suspicious target.In addition, if system has detected tubercle bacillus, then can carry out normal dyeing to this sample, automatic platform can move to the slide after redying the position of tubercle bacillus automatically, and the doctor can directly examine the result that system detects at microscopically.
Below be specific embodiment of the present invention, technical scheme of the present invention is done further the description, but protection scope of the present invention is not limited to these embodiment.Every do not deviate from the change of the present invention design or be equal to substitute include within protection scope of the present invention.
Embodiment 1
1. the sputum thin layer is evenly coated in 2-3 and opens on the slide, air dry adds behind the heat fixation with Auramine O (auramine O) dyeing, then through the acid alcohol decolouring with redye;
2. the slide after will dyeing is placed on microscopically, with high clear colorful fluorescence 1,400,000 pixel camera heads slide is scanned, and system will focus on automatically;
3. gather and focus on distinct image, image is carried out pre-service;
4. pretreated image is cut apart;
5. extract the shape facility of the target after cutting apart;
6. utilize calculated feature values that target is classified automatically;
7. if system detects tubercle bacillus is arranged on the slide, the doctor can reset through slide and carry out checking of microscopically;
8. can carry out normal dyeing (acidophilia dyeing) to sample where necessary, the slide after will redying then is placed on microscopically, and the doctor checks the detected tubercle bacillus of system through double check function under the mirror;
9. system prints diagnosis report automatically.

Claims (5)

1. a method that detects tubercle bacillus in the sputum comprises the steps:
(1) the sputum thin layer is evenly coated in 2-3 and opens on the slide, air dry adds behind the heat fixation with Auramine O dyeing, then through the acid alcohol decolouring with redye;
(2) slide after will dyeing is placed on microscopically, with camera slide is carried out scan image;
(3) gather and to focus on distinct image, image is carried out pre-service, pretreated image is cut apart;
(4) extract the shape facility of cutting apart the back cell, utilize the calculated feature values pair cell to classify automatically, thereby detect whether there is tubercle bacillus in the sputum.
2. a kind of method that detects tubercle bacillus in the sputum as claimed in claim 1 is characterized in that: the camera described in the step (2) is high clear colorful fluorescence 1,400,000 pixel camera heads.
3. a kind of method that detects tubercle bacillus in the sputum as claimed in claim 1 is characterized in that: when the tubercle bacillus in the sputum being detected identification, utilize the more smooth characteristic of strip characteristic and edge of tubercle bacillus that tubercle bacillus is discerned.
4. a kind of method that detects tubercle bacillus in the sputum as claimed in claim 1 is characterized in that: if system detects tubercle bacillus is arranged on the slide, the doctor can reset through slide and carry out checking of microscopically.
5. a kind of method that detects tubercle bacillus in the sputum as claimed in claim 1; It is characterized in that: the cell in the sputum is carried out acidophilia dyeing; Slide after will redying then is placed on microscopically, and the doctor checks the detected tubercle bacillus of system through double check function under the mirror.
CN2011101530904A 2011-06-08 2011-06-08 Method for detecting tubercle bacillus in sputamentum Pending CN102359939A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN2011101530904A CN102359939A (en) 2011-06-08 2011-06-08 Method for detecting tubercle bacillus in sputamentum

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN2011101530904A CN102359939A (en) 2011-06-08 2011-06-08 Method for detecting tubercle bacillus in sputamentum

Publications (1)

Publication Number Publication Date
CN102359939A true CN102359939A (en) 2012-02-22

Family

ID=45585300

Family Applications (1)

Application Number Title Priority Date Filing Date
CN2011101530904A Pending CN102359939A (en) 2011-06-08 2011-06-08 Method for detecting tubercle bacillus in sputamentum

Country Status (1)

Country Link
CN (1) CN102359939A (en)

Cited By (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104297038A (en) * 2014-10-10 2015-01-21 丁昊 Mycobacterium tuberculosis fluorescent acid-fast staining dye liquid
CN104897633A (en) * 2015-06-01 2015-09-09 宁波江丰生物信息技术有限公司 Automatic mycobacterium tuberculosis screening system for mycobacterium tuberculosis sputum smear
CN107246988A (en) * 2017-06-06 2017-10-13 珠海贝索生物技术有限公司 A kind of acid-resisting bacterium colouring method
CN108333178A (en) * 2018-02-07 2018-07-27 爱威科技股份有限公司 Clinical samples analysis method and clinical samples analyzer
CN112098383A (en) * 2020-09-21 2020-12-18 郑州中普医疗器械有限公司 Method for identifying microorganism bacteria and electronic device
CN113866096A (en) * 2021-11-05 2021-12-31 北京艾科瑞医学生物技术有限公司 Pretreatment pipe and method for generating tubercle bacillus liquid-based detection sample

Cited By (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104297038A (en) * 2014-10-10 2015-01-21 丁昊 Mycobacterium tuberculosis fluorescent acid-fast staining dye liquid
CN104297038B (en) * 2014-10-10 2017-05-31 丁昊 Mycobacterium tuberculosis fluorescence acid-fast stain dye liquor
CN104897633A (en) * 2015-06-01 2015-09-09 宁波江丰生物信息技术有限公司 Automatic mycobacterium tuberculosis screening system for mycobacterium tuberculosis sputum smear
CN107246988A (en) * 2017-06-06 2017-10-13 珠海贝索生物技术有限公司 A kind of acid-resisting bacterium colouring method
CN108333178A (en) * 2018-02-07 2018-07-27 爱威科技股份有限公司 Clinical samples analysis method and clinical samples analyzer
CN112098383A (en) * 2020-09-21 2020-12-18 郑州中普医疗器械有限公司 Method for identifying microorganism bacteria and electronic device
CN113866096A (en) * 2021-11-05 2021-12-31 北京艾科瑞医学生物技术有限公司 Pretreatment pipe and method for generating tubercle bacillus liquid-based detection sample

Similar Documents

Publication Publication Date Title
CN101339185B (en) Automatic microscopic imager for detecting cast-off cells and detection method
CN102359939A (en) Method for detecting tubercle bacillus in sputamentum
JP6031513B2 (en) Identification and measurement of reticulocytes
Forero et al. Identification of tuberculosis bacteria based on shape and color
Quinn et al. Automated blood smear analysis for mobile malaria diagnosis
TWI379248B (en) Methods and systems for processing biological specimens utilizing multiple wavelengths
Colin et al. Quantitative 3D-imaging for cell biology and ecology of environmental microbial eukaryotes
US9064304B2 (en) Image quality assessment of microscopy images
CN102590330A (en) Image processing-based magnetic particle inspection defect intelligent identification detection system
CN110378885B (en) WSI focus area automatic labeling method and system based on machine learning
Fu et al. Medicine glass bottle defect detection based on machine vision
JP2011027542A (en) Cell image analyzing apparatus
CN112432902A (en) Automatic detection system and method for judging cell number through peripheral blood cell morphology
CN102297833A (en) Method for determination of content of various cells in human blood or bone marrow
CN107735838A (en) It is used for the abnormality detection of medical sample under a variety of settings
WO2012126346A1 (en) Method for rapidly determining dna content in cell nucleus
CN114387596A (en) Automatic interpretation system for cytopathology smear
CN109214433A (en) A kind of method that convolutional neural networks distinguish liver cancer differentiation grade
EP2347296B1 (en) Procedure for preparing a processed virtual analysis image
RU2010153685A (en) METHOD FOR CELLULAR ANALYSIS OF A SAMPLE WITH THE VIRTUAL ANALYTICAL PLATE
CN105259095A (en) Negative-exclusion-method intelligent screening system for cervical cancer cellpathology
US20120264110A1 (en) Automated pap screening using a plurality of biomarkers and multi-spectral imaging
PP et al. Automated quality assessment of cocoons using a smart camera based system
CN113853607A (en) System and method for monitoring bacterial growth and predicting colony biomass of colonies
CN111492064A (en) Method for identifying yeast or bacteria

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
C12 Rejection of a patent application after its publication
RJ01 Rejection of invention patent application after publication

Application publication date: 20120222