WO2014210121A2 - Microscope numérique et procédé de reconnaissance d'image - Google Patents

Microscope numérique et procédé de reconnaissance d'image Download PDF

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Publication number
WO2014210121A2
WO2014210121A2 PCT/US2014/044043 US2014044043W WO2014210121A2 WO 2014210121 A2 WO2014210121 A2 WO 2014210121A2 US 2014044043 W US2014044043 W US 2014044043W WO 2014210121 A2 WO2014210121 A2 WO 2014210121A2
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WO
WIPO (PCT)
Prior art keywords
digital microscope
image
display
imaging device
microscope according
Prior art date
Application number
PCT/US2014/044043
Other languages
English (en)
Other versions
WO2014210121A3 (fr
Inventor
Hong Shen
Jie Zou
Ning Liu
Ke Lin
Trevor ALLISON
Original Assignee
Siemens Healthcare Diagnostics Inc.
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 Siemens Healthcare Diagnostics Inc. filed Critical Siemens Healthcare Diagnostics Inc.
Publication of WO2014210121A2 publication Critical patent/WO2014210121A2/fr
Publication of WO2014210121A3 publication Critical patent/WO2014210121A3/fr

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Classifications

    • G—PHYSICS
    • G02—OPTICS
    • G02B—OPTICAL ELEMENTS, SYSTEMS OR APPARATUS
    • G02B21/00—Microscopes
    • G02B21/24—Base structure
    • G—PHYSICS
    • G02—OPTICS
    • G02B—OPTICAL ELEMENTS, SYSTEMS OR APPARATUS
    • G02B21/00—Microscopes
    • G02B21/0004—Microscopes specially adapted for specific applications
    • G02B21/0008—Microscopes having a simple construction, e.g. portable microscopes
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
    • G01N33/48—Biological material, e.g. blood, urine; Haemocytometers
    • G01N33/483—Physical analysis of biological material
    • G01N33/487—Physical analysis of biological material of liquid biological material
    • G01N33/493—Physical analysis of biological material of liquid biological material urine

Definitions

  • the present invention relates to a digital microscope used for urine sediment analysis, and in particular, to a digital microscope integrated with a display.
  • Urine is one of important excretions of a human body, and is a medium reflecting pathological changes of kidney.
  • Urine sediment inspection as an indispensible component of complete urinalysis, is important in diagnosis, location, recognition, prognosis, therapeutic drug monitoring and checkups of diseases of the urinary system.
  • the urine sediment refers to shaped components in urine, which is sediment formed after centrifugation of initial urine.
  • the urine sediment is a combination of quality and quantity of shaped components in the urine, and includes cells, casts, crystals, bacterium, sperms and the like.
  • the conventional method of inspecting urine sediment by using a manual microscope is not only labor-intensive and easily pollutes the environments, but also depends on skills and experience of an operator.
  • AUSA automatic urine sediment analyzer
  • the AUSA adopts the automatic recognition technology of microscopic image to perform automatic location and capturing of shaped components in urine, and performs automatic recognition and counting for the shaped components in the urine by using a morphological method.
  • the AUSA is mainly applied to routine urinalysis in a clinical examination laboratory, a nephropathy laboratory and the like, and is an expensive analytical instrument.
  • the AUSA mainly includes a urine sediment host, a microscope, a charge coupled device (CCD) image collecting system, a computer (including a display and a printer), and corresponding urine sediment recognition and analysis software.
  • the urine sediment instrument host sends, by using a disk-type automatic sample injector configured in the host, a urine sediment sample to a counting chamber which is disposed on a stage of the microscope for the urine sediment to flow for counting.
  • the urine sediment sample within a certain visual range of the counting chamber is amplified by the microscope, and shaped components of the urine sediment are imaged on the CCD.
  • the automatic microscope searches for visual field and automatically focuses to automatically collect a clear image of the urine sediment under the microscope to the computer, and the software for recognizing urine sediment shaped components automatically recognizes the number of the shaped components in the urine sediment.
  • the AUSA is expensive, and is generally applied in large-scale hospitals. Remote areas, especially areas with poor medical conditions, generally cannot afford the AUSA. However, the AUSA has poor image quality, which easily causes errors in automatic recognition results.
  • the present invention is directed to provide a digital microscope used for detecting urine sediment.
  • An embodiment of the present invention provides a digital microscope used for detecting urine sediment, which includes:
  • an optical microscopic device used to form an amplified image of a to-be-detected sample
  • an imaging device including an image chip used to collect the image formed by the optical microscopic device, where the size of the image chip is between 1/4 inches and 1 inch, and the image chip has the frame rate greater than 25 frames per second;
  • a display used to display the image collected by the imaging device; and [0010] a controlling device, used to control the imaging device and the display, receive image data collected by the imaging device, and transmit the data to the display.
  • the digital microscope provided in the embodiment of the present invention can improve the quality of a real-time image of a sample, avoid a trailing phenomenon, improve the quality of the collected image, and present various shaped components in the sample in a clear manner, thereby being capable of performing accurate recognition, and expanding an observation zone.
  • the optical microscopic device is an upright optical microscopic device, and has a deeper depth of field.
  • an optical transmission device is disposed between the optical microscopic device and the imaging device, where the optical transmission device is in a shape of an orthogonal L-shaped tube, and can reduce the overall height of the digital microscope, and improve the portability thereof.
  • the resolution of the imaging chip is greater than or equal to 2048x 1536.
  • the resolution of the display is greater than or equal to 1024x768.
  • the display is a touch screen display.
  • the controlling device is further used to recognize types of various shaped components in the sample based on the image data collected by the imaging device.
  • the imaging chip is a charge coupled device (CCD) or a complementary metal-oxide-semiconductor transistor (CMOS).
  • CCD charge coupled device
  • CMOS complementary metal-oxide-semiconductor transistor
  • the controlling device and the imaging device are connected through a low voltage differential signaling (LVDS) port.
  • LVDS low voltage differential signaling
  • the controlling device and the display are connected through an LVDS port.
  • Another embodiment of the present invention further provides an image recognition method for a digital microscope, which includes the following steps:
  • step 3) includes modifying a shaped component type that is automatically recognized wrongly, and manually recognizing a shaped component type that is not automatically recognized.
  • the digital microscope is the type of digital microscope described above.
  • the digital microscope provided in another embodiment of the present invention has a good imaging effect, accurate component recognition, and a low price, so that the digital microscope can meet medical requirements of remote areas.
  • FIG. 1 is a schematic structural diagram of a digital microscope according to an embodiment of the present invention
  • FIG. 2 is a schematic structural diagram of an optical transmission device in a digital microscope according to another embodiment of the present invention.
  • FIG. 3 is a beam path diagram of a digital microscope according to another embodiment of the present invention.
  • FIG. 4 is a flowchart of a working method of a digital microscope according to another embodiment of the present invention.
  • FIG. 5 is an image shown by a display before the manual correction step in the method shown in FIG. 4;
  • FIG. 6 is an image shown by a display in a manual correction step in the method shown in FIG. 4.
  • This embodiment provides a digital microscope used for urine sediment detection.
  • the digital microscope as shown in FIG. 1, includes an upright optical microscopic device, a CCD imaging device 9, an optical transmission device 8, a controlling device 10 and an LCD touch screen display 1 1.
  • the upright optical microscopic device including from bottom to top: a microscope stand 1, a focusing device 2, a lighting device 3, a light condenser 4, a sample stage 5, an objective lens 6, a revolving nosepiece 7, and a tube lens (not shown), where the microscope stand 1 is used to support other parts of the digital microscope; the lighting device 3 is located under the sample stage 5; the light condenser 4 is located between the lighting device 3 and the sample stage 5, and is used to converge light emitted by the lighting device 3 to the sample stage 5 so as to light a urine sediment sample on the sample stage 5; the revolving nosepiece 7 is located above the sample stage 5, and has multiple objective lenses 5 with different amplification factors mounted thereon, and the revolving nosepiece 7 is used to switch the objective lens 6 with the required amplification factor to the location of the observed sample; the focusing device 2 is used to focus the optical microscopic device; and the light emitted by the lighting device 3 is converged by the light condenser 4 to the
  • the optical transmission device 8 is used to receive the light passing through the objective lens 6 and the tube lens in sequence, and transmit the light to the CCD chip in the CCD imaging device 9.
  • the optical transmission device 8, as shown in FIG. 2, is in a shape of an orthogonal L-shaped tube, and a prism 37 is provided at the bent of the right angle and is used to change the direction of the light propagated in the optical transmission device 8.
  • the LCD touch screen display 1 1, fixed on the microscope stand 1, has the resolution of 1024x768, and is used to display a microscopic image of the urine sediment sample to an operator and inputs a control command of the operator for the digital microscope.
  • the controlling device 10, fixed on the microscope stand 1, is used to control the CCD imaging device 9 and the LCD display 1 1, and receive image data collected by the CCD imaging device 9 and transmit the data to the display 1 1 for display, the controlling device 10 is pre-installed with image recognition software, so that the controlling device can recognize, types of various shaped components in the urine sediment sample based on the image data collected by the controlling device,, and can count different shaped components separately.
  • the controlling device 10 is connected to the CCD imaging device 9 and the LCD display 11 through a low voltage differential signaling (LVDS) port, so as to carry out data transmission.
  • LVDS low voltage differential signaling
  • FIG. 3 A beam path diagram in the digital microscope used for urine sediment detection provided in this embodiment is shown in FIG. 3.
  • Light emitted by a light source 31 in the lighting device is converged by a collecting lens 32 in the lighting device 3, and then enters a light condenser 33, the light condenser 33 converges the light to a sample plane 34, the light transmits the sample plane 34, passes through an objective lens 35 and a tube lens 36, enters the optical transmission device 8, and then is reflected by a prism 37 in the optical transmission device 8 to a CCD chip 38 in a CCD imaging device 39, so that the CCD chip 38 collects an image of a sample in the sample plane 34.
  • the CCD imaging device 9 may be used to collect a real-time image of a urine sediment sample in real time, and because the minimum frame rate of the CCD chip in the CCD imaging device 9 is up to above 25 frames per second, the quality of the real-time image of the sample can be improved, and the trailing phenomenon is avoided.
  • the CCD chip having a large area being 2/3 inches is used, and therefore, the quality of the collected image is improved, and various shaped components in the sample can be presented more clearly, thereby being capable of performing precise recognition on shaped components in urine sediment by using the image recognition software more accurately.
  • the observation area may be further expanded.
  • the digital microscope used for urine sediment detection In the digital microscope used for urine sediment detection provided in this embodiment, data transmission between the controlling device and the CCD imaging device and data transmission between the controlling device and the display use the high-speed LVDS port, so that data can be transmitted in a high speed, so as to meet transmission requirements of the CCD chip having the resolution being 2048x 1536 and the frame rate being greater than 25 frames per second.
  • the optical transmission device 8 is in a shape of an orthogonal L-shaped tube, which can reduce the overall height of the digital microscope, and improve the portability thereof.
  • the digital microscope used for urine sediment detection provided in this embodiment uses the upright optical microscopic device, and compared with an inverted optical microscopic device, the upright optical microscopic device has a deeper depth of field, which is conductive to detection of the sample.
  • the optical microscopic device and the LCD display are integrated. Compared with a common digital microscope connected to a computer, the digital microscope is easy to carry, and the operator can observe the detection results more conveniently, without the need of moving frequently between a computer screen and the microscope.
  • the digital microscope provided in this embodiment may be operated according to the following method:
  • controlling device may also be used to recognize types of various shaped components in the sample according to the image data collected by the imaging device.
  • the area of the CCD chip is not limited to 2/3 inches, and may be, for example, 1/4 inches, 1 inch, and the like.
  • the resolution of the CCD chip is not limited to 2048x1536, and higher resolution is also available.
  • the data transmission between the controlling device and the CCD imaging device and the data transmission between the controlling device and the display is not limited to using the LVDS port, and another high-speed port capable of meeting transmission requirements of a CCD chip having the resolution greater than or equal to 2048x 1536 and the frame rate greater than 25 frames per second is also available.
  • the resolution of the display is preferably greater than or equal to 1024x768.
  • the CCD chip may also be replaced with a CMOS chip.
  • a working method of a digital microscope is further provided, and a working flowchart is shown in FIG. 4.
  • an objective lens is selected (step 202), and one of the following 4 working modes is selected: a preview mode 211, a diagnosis mode 221, a train mode 231 and a test mode 241.
  • the user focuses first and selects a visual field (step 211).
  • pre-viewing the user may operate like operating a conventional microscope; different from the prior art, an image in the visual field is not transmitted to human eyes through an eyepiece, but is displayed on the LCD display in real time, and the user observes the image of the sample in the visual field by using the LCD display.
  • the working process ends.
  • the diagnosis mode 221 includes the following steps: [0061] focusing and selecting a visual field (step 222), where in this step, the user focuses before selecting a required visual field range;
  • step 223 taking an image
  • step 224 performing machine recognition
  • step 224 the microscope automatically recognizes, by using a built-in algorithm, various shaped components in the image taken in step 223, and counts the numbers of various shaped components
  • step 225 performing manual correction (step 225), where the results of machine recognition are corrected manually, and the results of machine recognition are checked manually, if types of some shaped components are found to be wrong or some shaped components are not recognized, manual correction is performed, and the numbers of the various shaped components are counted;
  • step 226) determining whether the sample image can obtain a detection result (step 226), if a result can be obtained, printing a detection report (step 229) or sending a report to a hospital information system (HIS) through a network and ending the process; and if no result can be obtained, changing a visual field or changing an objective lens with a greater amplification factor (step 227), if a visual field is to be changed, returning to step 222 to select another visual field, and if an objective lens with a greater amplification factor is to be changed, performing step 228, and returning to step 222 of focusing and selecting a visual field.
  • HIS hospital information system
  • step 225 A specific method for manual correction in step 225 is shown in FIG. 5.
  • the microscope recognizes, by using the built-in algorithm, the types of various shaped components, identifies different types of shaped components by using different marks, and displays the different shaped components on the display shown in FIG. 5.
  • Red blood cells are identified by broken circles
  • white blood cells are identified by solid circles
  • various shaped components are respectively counted. As shown at the upper right corner of FIG. 5, there are 8 red blood cells and 3 white blood cells.
  • the machine recognition may be erroneous, for example, a white blood cell W at the lower left corner in FIG.
  • the correct result should be 7 red blood cells and 4 white blood cells.
  • the error caused by machine recognition can be corrected, as shown in FIG. 6; the type of the shaped component may be corrected manually, so that the white blood cell W is corrected to be identified by a solid circle, thereby correcting the result (as shown at the upper right corner of FIG. 6, there are 7 red blood cells and 4 white blood cells).
  • FIG. 5 and FIG. 6 For clarity, only two shaped components including white blood cells and red blood cells are shown in FIG. 5 and FIG. 6, and persons skilled in the art should understand that, the detection process for the red blood cells and white blood cells may also be applied to other shaped components in urine, such as bacterium, crystals, casts, and yeasts.
  • a urine sediment sample image that is completely recognized may be input to the microscope as a training sample, so as to improve the correctness and precision of machine recognition of the microscope.
  • the microscope may provide a urine sediment sample image in a microscope database, where the image includes various shaped components that have been recognized, for an operator to learn or testing the operation ability of an operator.
  • the step of manual correction is added, both the rapidness of machine recognition and the correctness of manual inspection can be achieved by the method, thereby ensuring obtaining of a more accurate inspection result while ensuring the speed.
  • a "complete display” manner is used, that is, the image taken is completely displayed on the LED display, which differs from the "partial display” manner used in the existing AUSA system. Only shaped components required to be detected are displayed in the partial display manner. Because the present invention uses the complete display manner, none of the shaped components in a urine sediment sample is omitted, and in combination with the subsequent manual correction step, incorrectness of a detection result caused by misdetection can be avoided. In addition, because the complete display manner is used, a detection result may further be tracked back.
  • the manual correction in step 225 is implemented by using a touch screen, and persons skilled in the art should understand that, in other embodiments according to the present invention, other input devices may also be used to implement the manual correction.
  • the marks used to identify different types of shaped components are not limited to the broken circles and solid circles, and other marks may also be used for identifying different types of shaped components, such as circles with different colors.

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  • Physics & Mathematics (AREA)
  • Chemical & Material Sciences (AREA)
  • Analytical Chemistry (AREA)
  • General Physics & Mathematics (AREA)
  • Optics & Photonics (AREA)
  • Microscoopes, Condenser (AREA)
  • Investigating Or Analysing Biological Materials (AREA)

Abstract

La présente invention concerne un microscope numérique, utilisé pour une détection de sédiment urinaire, et un procédé pour effectuer une reconnaissance d'image à l'aide d'un microscope numérique. Le microscope numérique comprend : un dispositif microscopique optique, utilisé pour former une image amplifiée d'un échantillon; un dispositif d'imagerie, utilisé pour capter l'image formée par le dispositif microscopique optique, et ayant une puce d'imagerie, la dimension de la puce d'imagerie étant comprise entre 1/4 pouce et 1 pouce, et ayant une fréquence d'image supérieure à 25 images par seconde; un dispositif d'affichage, utilisé pour afficher l'image captée par le dispositif d'imagerie; un dispositif de commande, utilisé pour commander le dispositif d'imagerie et le dispositif d'affichage, pour recevoir des données d'image captées par le dispositif d'imagerie et pour transmettre les données au dispositif d'affichage.
PCT/US2014/044043 2013-06-28 2014-06-25 Microscope numérique et procédé de reconnaissance d'image WO2014210121A2 (fr)

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CN201310269556.6A CN104251811A (zh) 2013-06-28 2013-06-28 一种数字显微镜及其图像识别方法
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CN114509561A (zh) * 2021-12-31 2022-05-17 攸太科技(台州)有限公司 基于显微图像的尿液检测方法

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