CN115308129A - Method and device for automatically determining focusing position of fluorescent dark field camera - Google Patents

Method and device for automatically determining focusing position of fluorescent dark field camera Download PDF

Info

Publication number
CN115308129A
CN115308129A CN202210773283.8A CN202210773283A CN115308129A CN 115308129 A CN115308129 A CN 115308129A CN 202210773283 A CN202210773283 A CN 202210773283A CN 115308129 A CN115308129 A CN 115308129A
Authority
CN
China
Prior art keywords
immunofluorescence
picture
information
information set
immunofluorescence picture
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
CN202210773283.8A
Other languages
Chinese (zh)
Inventor
咸涛
磨国鑫
肖漓
赵小琼
张兴全
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.)
Jiangsu Nuoge Biotechnology Co ltd
Original Assignee
Jiangsu Nuoge Biotechnology Co 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 Jiangsu Nuoge Biotechnology Co ltd filed Critical Jiangsu Nuoge Biotechnology Co ltd
Priority to CN202210773283.8A priority Critical patent/CN115308129A/en
Publication of CN115308129A publication Critical patent/CN115308129A/en
Pending legal-status Critical Current

Links

Images

Classifications

    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/01Arrangements or apparatus for facilitating the optical investigation
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/62Systems in which the material investigated is excited whereby it emits light or causes a change in wavelength of the incident light
    • G01N21/63Systems in which the material investigated is excited whereby it emits light or causes a change in wavelength of the incident light optically excited
    • G01N21/64Fluorescence; Phosphorescence
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/62Systems in which the material investigated is excited whereby it emits light or causes a change in wavelength of the incident light
    • G01N21/63Systems in which the material investigated is excited whereby it emits light or causes a change in wavelength of the incident light optically excited
    • G01N21/64Fluorescence; Phosphorescence
    • G01N21/6402Atomic fluorescence; Laser induced fluorescence

Landscapes

  • Health & Medical Sciences (AREA)
  • Physics & Mathematics (AREA)
  • Biochemistry (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Chemical & Material Sciences (AREA)
  • Analytical Chemistry (AREA)
  • General Health & Medical Sciences (AREA)
  • General Physics & Mathematics (AREA)
  • Immunology (AREA)
  • Pathology (AREA)
  • Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
  • Optics & Photonics (AREA)
  • Studio Devices (AREA)

Abstract

The invention provides a method and a device for automatically determining a focusing position of a fluorescent dark field camera, wherein the method comprises the following steps: obtaining immunofluorescence pictures of different focusing positions of the glass slide; carrying out gray processing on the immunofluorescence picture to form a first information set of the immunofluorescence picture; carrying out fuzzy processing and gray processing on the immunofluorescence picture to form a second information set of the immunofluorescence picture; and calculating the MSE value of the immunofluorescence picture based on the first information set and the second information set, wherein the MSE value is used as the definition value of the immunofluorescence picture. The method for automatically determining the focusing position of the fluorescent dark field camera can effectively and quickly determine the focusing position of the fluorescent dark field camera, has high focusing speed and high efficiency, and is convenient for automatic operation.

Description

Method and device for automatically determining focusing position of fluorescent dark field camera
Technical Field
The invention relates to the technical field of fluorescent dark field detection, in particular to a method and a device for automatically determining a focusing position of a fluorescent dark field camera.
Background
The immunofluorescence staining picture is generally formed by collecting fluorescence of a specific wave band by a fluorescence dark field camera so as to find the position and the quantity of the focus cells or focus bacteria.
The traditional fluorescent dark field detection device has the following flow of obtaining an immunofluorescence staining picture: the distance between the microscope objective and the glass slide (namely the focusing position of the fluorescence dark field camera) is manually adjusted, when clear focus cells or focus bacteria are observed, the adjustment of the distance between the microscope objective and the glass slide is stopped, and the fluorescence dark field camera shoots the clear focus cells or focus bacteria observed by the microscope to obtain an immunofluorescence picture. In the traditional process of obtaining the immunofluorescence picture, the distance between the microscope objective and the glass slide needs to be manually adjusted (namely, the focusing position of the fluorescence dark field camera is manually adjusted), the adjusting speed is low, the efficiency is low, and automatic operation is not used.
Disclosure of Invention
Therefore, the technical problem to be solved by the present invention is to overcome the problems of slow speed and low efficiency of obtaining a clear immunofluorescence picture in the prior art, so as to provide a method and an apparatus for automatically determining a focusing position of a fluorescent dark field camera.
In one aspect of the present invention, there is provided a method for automatically determining a focus position of a fluorescent dark field camera, comprising the steps of:
obtaining immunofluorescence pictures of different focusing positions of the glass slide;
carrying out gray level processing on the immunofluorescence picture, and then calculating horizontal information, vertical information and diagonal information of the immunofluorescence picture by using two-dimensional first-level wavelet change to form a first information set of the immunofluorescence picture;
fuzzy processing and gray processing are carried out on the immunofluorescence picture, and then the horizontal information, the vertical information and the diagonal information of the immunofluorescence picture are calculated through haar wavelets to form a second information set of the immunofluorescence picture;
and calculating the MSE value of the immunofluorescence picture based on the first information set and the second information set, wherein the MSE value is used as the definition value of the fluorescence picture, and the focusing plane position or the focusing position is determined according to the definition value of the immunofluorescence picture.
Preferably, the two-dimensional one-level wavelet transform is one of Daubechies wavelet and haar wavelet.
Preferably, the blurring process is a gaussian blurring process or a laplacian blurring process.
Further, the MSE value is calculated using the following calculation formula:
Figure BDA0003725138930000021
wherein, y i Represents the values in v1, h1, c1,
Figure BDA0003725138930000022
represents the value in v2, h2, c2, w i Equal to 1,SSE as a total difference; n is the number of pixel points of the immunofluorescence picture; and m is the number of pixel points of the immunofluorescence picture.
Another technical problem to be solved by the present invention is to overcome the defect of inaccurate focusing position of a fluorescent dark field camera in the prior art, and thereby provide an apparatus for automatically determining the focusing position of the fluorescent dark field camera, comprising:
the acquisition module is used for acquiring immunofluorescence pictures of different focusing positions of the glass slide;
the first information set acquisition module is used for carrying out gray processing on the immunofluorescence picture, and then calculating first horizontal information, first vertical information and first diagonal information of the immunofluorescence picture by utilizing two-dimensional one-level wavelet change to form a first information set of the immunofluorescence picture;
the second information set acquisition module is used for carrying out fuzzy processing and gray processing on the immunofluorescence picture, and then calculating second horizontal information, second vertical information and second diagonal information of the immunofluorescence picture by using haar wavelets to form a second information set of the immunofluorescence picture;
and the immunofluorescence picture definition value calculating module is configured to calculate an MSE value of the immunofluorescence picture based on the first information set and the second information set, the MSE value serves as the definition value of the immunofluorescence picture, and the focusing position is judged according to the definition value.
In another aspect of the present invention, an electronic device is further provided, which includes a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the above method for automatically determining the focus position of an immunofluorescence dark field camera.
In a further aspect of the invention, a non-transitory computer-readable storage medium is provided, on which a computer program is stored which, when being executed by a processor, carries out the method for automatically determining a focus position of a fluorescent dark-field camera.
The technical scheme of the invention has the following advantages:
1. according to the method for automatically determining the focusing position of the immunofluorescence dark field camera, the first information set is calculated after the immunofluorescence picture is subjected to gray scale processing, the second information set is calculated after the immunofluorescence picture is subjected to fuzzy processing and gray scale processing, the MSE value of the immunofluorescence picture is calculated through the first information set and the second information set, and whether the focusing position of the immunofluorescence dark field camera is at the optimal position or not is judged according to the MSE value.
2. The method for automatically determining the focusing position of the immunofluorescence dark field camera can be realized by adopting various two-dimensional one-level wavelet transforms, preferably adopts Daubechies wavelets or haar wavelets, has simple algorithms and can effectively reduce the hardware load.
3. The method for automatically determining the focusing position of the immunofluorescence dark field camera can be realized by adopting various fuzzy processing, preferably, the fuzzy processing adopts Gaussian fuzzy processing or Laplace fuzzy processing, and the two processing methods can effectively reduce hardware load.
4. According to the method for automatically determining the focusing position of the immunofluorescence dark field camera, provided by the invention, the MSE value is simple in algorithm, the hardware load can be effectively reduced, and the efficiency is improved.
5. According to the device for automatically determining the focusing position of the immunofluorescence dark field camera, the immunofluorescence picture is obtained through the obtaining module, the first information set is calculated after the grayscale processing is carried out on the immunofluorescence picture through the first information set obtaining module, the second information set is calculated after the fuzzy processing and the grayscale processing are carried out on the immunofluorescence picture through the second information set obtaining module, the MSE value of the immunofluorescence picture is calculated through the first information set and the second information set, the focusing position of the immunofluorescence dark field camera is judged according to the MSE value, the focusing speed is high, the efficiency is high, and the automatic operation is facilitated.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the embodiments or the prior art descriptions will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and other drawings can be obtained by those skilled in the art without creative efforts.
FIG. 1 is a flowchart of a method for automatically determining a focus position of a fluorescent dark field camera in embodiment 1 of the present invention;
FIG. 2 is a schematic view of a focusing path for obtaining an immunofluorescent-stained image in example 1 of the present invention;
FIG. 3 is a first photograph of immunofluorescent staining taken in example 1;
FIG. 4 is a schematic view of an immunofluorescent staining picture processed by Haler wavelet in example 1;
FIG. 5 is 9 pictures after the treatment of example 1;
FIG. 6 is an apparatus for automatically determining a focus position of a fluorescent dark field camera in embodiment 3;
fig. 7 is a schematic block diagram of an electronic device in embodiment 5 of the present invention.
Reference numerals:
1-cover glass; 2-air bubbles; 3-normal saline; 4-target sample; 5-glass slide.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the accompanying drawings, and it should be understood that the described embodiments are some, but not all embodiments of the present invention. All other embodiments, which can be obtained by a person skilled in the art without making any creative effort based on the embodiments in the present invention, belong to the protection scope of the present invention.
In the description of the present invention, it should be noted that the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", etc., indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, and are only for convenience of description and simplicity of description, but do not indicate or imply that the device or element being referred to must have a particular orientation, be constructed and operated in a particular orientation, and thus, should not be construed as limiting the present invention. Furthermore, the terms "first," "second," and "third" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
In the description of the present invention, it should be noted that, unless otherwise explicitly specified or limited, the terms "mounted," "connected," and "connected" are to be construed broadly and may be, for example, fixedly connected, detachably connected, or integrally connected; can be mechanically or electrically connected; the two elements may be directly connected or indirectly connected through an intermediate medium, or may be communicated with each other inside the two elements, or may be wirelessly connected or wired connected. The specific meanings of the above terms in the present invention can be understood in specific cases to those skilled in the art.
In addition, the technical features involved in the different embodiments of the present invention described below may be combined with each other as long as they do not conflict with each other.
Example 1
The embodiment provides a method for automatically determining the focusing position of a fluorescent dark field camera, as shown in fig. 1, comprising the following steps:
step 101, obtaining immunofluorescence pictures of different focusing positions of the slide, as shown in fig. 2, collecting the immunofluorescence pictures of different focusing positions of the slide from top to bottom by a fluorescence dark field camera (for example, a CCD camera), wherein a focusing path is in a stepping manner. For ease of understanding, the present embodiment assumes that a total of 9 images are acquired from top to bottom, and since the focus path is stepped, each image has a z-axis distance corresponding thereto.
The sharpness evaluation was performed on 9 images. The clarity evaluation was started for 9 pictures in the order of acquisition from top to bottom, and the clarity evaluation procedure for each picture was as follows:
102, performing gray processing on a first immunofluorescence picture (shown in fig. 3), and then calculating horizontal information h1, vertical information v1 and diagonal information c1 of the immunofluorescence picture by using two-dimensional first-level wavelet change (haar wavelet is adopted in the embodiment) to form a first information set of the immunofluorescence picture;
step 103, performing a blurring process (in this embodiment, gaussian blurring) on the first immunofluorescence image to obtain a blurred image, wherein the size of the gaussian kernel function is determined according to the resolution of the input image, and if the input resolution is relatively high, the size of the blur kernel can be correspondingly increased, in this case, the resolution of the input image is 912 × 618, and the size of the blur kernel is 7; performing gray processing on the first image after the Gaussian module, and calculating horizontal information h2, vertical information v2 and diagonal information c2 of the first immunofluorescence image by using the haar wavelet shown in FIG. 4 to form a second information set of the first immunofluorescence image;
step 104, calculating an MSE value of the first immunofluorescence picture based on the first information set and the second information set, where the MSE value is used as a sharpness value of the first fluorescence picture, where a calculation method of the MES value is not limited, and the MSE value is calculated by using the following calculation formula in this embodiment:
Figure BDA0003725138930000071
wherein, y i Represents the values in v1, h1, c1,
Figure BDA0003725138930000072
represents the values in v2, h2, c 2. And w i Then isEqual to 1.
The above-described sharpness evaluation process was repeated to obtain sharpness evaluation values of 9 immunofluorescence pictures, as shown in fig. 5. The picture in fig. 4 is named by using a method of Img + sequence number + sharpness value, that is: the first number after Img is the serial number and the second number is the sharpness value the sharpness estimate for the first picture shown in fig. 4 is: 0.000348; where the sharpness evaluation value of image Img _5_0.0473679.Jpg of serial number 5 is the largest, the z-axis position corresponding to the picture of serial number 5 is the ideal focus position.
The principle of evaluating whether the focusing position is accurate by using the image definition value in the embodiment of the invention is as follows: the clearer the image is, the larger the information entropy (representing that the picture contains more information); after Gaussian blur processing, the larger the information entropy loss, and the information entropy loss difference (MSE value) before and after blur is used as the definition value of the immunofluorescence picture. The more fuzzy the picture is, the less information entropy loss is before and after the Gaussian blur processing; the clearer the picture is, the greater the information entropy loss before and after gaussian blurring processing.
According to the method for automatically determining the focusing position of the immunofluorescence dark field camera, the first information set is calculated after the immunofluorescence picture is subjected to gray scale processing, the second information set is calculated after the immunofluorescence picture is subjected to fuzzy processing and gray scale processing, the MSE value of the immunofluorescence picture is calculated through the first information set and the second information set, the focusing position of the immunofluorescence dark field camera is judged according to the MSE value, the focusing speed is high, the efficiency is high, and automatic operation is facilitated.
Example 2
The present embodiment is different from embodiment 1 in that: in step 102, the two-dimensional one-level wavelet change adopts a Daubechies wavelet; in step 103, laplace blur processing is used for the blur processing of the immunofluorescence picture.
The pictures are processed by using Daubechies wavelets and Laplace fuzzy algorithm, so that on one hand, a more diversified processing method is provided for picture processing, and the universality of the technical scheme of the invention is effectively improved; on the other hand, the two algorithms are simple in structure, the calculation efficiency can be effectively improved, and the hardware load is reduced.
Example 3
The embodiment provides an apparatus for automatically determining a focus position of a fluorescent dark field camera, as shown in fig. 6, comprising:
an acquisition module 201 for acquiring fluorescence pictures of different focusing positions of the slide glass;
the first information set acquisition module 202 is used for performing gray level processing on the immunofluorescence picture, and then calculating first low latitude information, first horizontal information, first vertical information and diagonal information of the immunofluorescence picture by using two-dimensional one-level wavelet change to form a first information set of the immunofluorescence picture;
the second information set acquisition module 203 is used for performing fuzzy processing and gray processing on the immunofluorescence picture, and then calculating second low latitude information, second horizontal information, second vertical information and second diagonal information of the immunofluorescence picture by using haar wavelets to form a second information set of the immunofluorescence picture;
an immunofluorescence picture sharpness value calculation module 204 configured to calculate MSE values of the immunofluorescence picture based on the first set of information and the second set of information, the MSE values being used as sharpness values for evaluating the immunofluorescence picture.
According to the device for automatically determining the focusing position of the immunofluorescence dark field camera, the immunofluorescence picture is obtained through the obtaining module, the first information set is calculated after the grayscale processing is carried out on the immunofluorescence picture through the first information set obtaining module, the second information set is calculated after the fuzzy processing and the grayscale processing are carried out on the immunofluorescence picture through the second information set obtaining module, the MSE value of the immunofluorescence picture is calculated through the first information set and the second information set, the accuracy of the focusing position of the immunofluorescence dark field camera is judged according to the MSE value, the focusing speed is high, the efficiency is high, and the automatic operation is facilitated.
Example 4
Based on the same inventive concept, the present embodiment provides an electronic device, see fig. 7, including a memory 302, a processor 301, a communication interface 303, a communication bus 304, and a computer program stored in the memory and running on the processor, wherein the processor 301, the communication interface 303, and the memory 302 complete communication with each other through the communication bus 304; the communication interface 303 is used for realizing information transmission between related devices such as modeling software, an intelligent equipment module library and the like; the processor 301 is configured to call the computer program in the memory 302, and when the processor executes the computer program, the processor implements the method provided by the above method embodiments, for example, when the processor executes the computer program, the processor performs the following operations:
obtaining immunofluorescence pictures of different focusing positions of the glass slide;
carrying out gray level processing on the immunofluorescence picture, and then calculating horizontal information, vertical information and diagonal information of the immunofluorescence picture by using two-dimensional first-level wavelet change to form a first information set of the immunofluorescence picture;
fuzzy processing and gray processing are carried out on the immunofluorescence picture, and then horizontal information, vertical information and diagonal information of the immunofluorescence picture are calculated by using haar wavelets to form a second information set of the immunofluorescence picture;
and calculating an MSE value of the immunofluorescence picture based on the first information set and the second information set, wherein the MSE value is used as a definition value of the immunofluorescence picture, and the immunofluorescence camera focusing position is determined according to the definition value of the immunofluorescence picture.
Example 5
The present embodiments provide a non-transitory computer readable storage medium having stored thereon a computer program that, when executed by a processor, performs the following:
obtaining immunofluorescence pictures of different focusing positions of the glass slide;
carrying out gray level processing on the immunofluorescence picture, and then calculating horizontal information, vertical information and diagonal information of the immunofluorescence picture by using two-dimensional first-level wavelet change to form a first information set of the immunofluorescence picture;
fuzzy processing and gray processing are carried out on the immunofluorescence picture, and then horizontal information, vertical information and diagonal information of the immunofluorescence picture are calculated by using haar wavelets to form a second information set of the immunofluorescence picture;
and calculating the MSE value of the immunofluorescence picture based on the first information set and the second information set, wherein the MSE value is used as the definition value of the immunofluorescence picture, and the focusing plane position or the focusing position is determined according to the definition value of the immunofluorescence picture.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
It should be understood that the above examples are only for clarity of illustration and are not intended to limit the embodiments. Other variations and modifications will be apparent to persons skilled in the art in light of the above description. And are neither required nor exhaustive of all embodiments. And obvious variations or modifications derived therefrom are intended to be within the scope of the invention.

Claims (7)

1. A method for automatically determining a focus position of a fluorescent dark field camera, comprising the steps of:
obtaining immune immunofluorescence pictures of different focusing positions of the glass slide;
carrying out gray level processing on the immunofluorescence picture, and then calculating horizontal information, vertical information and diagonal information of the immunofluorescence picture by using two-dimensional first-level wavelet change to form a first information set of the immunofluorescence picture;
fuzzy processing and gray processing are carried out on the immunofluorescence picture, and then horizontal information, vertical information and diagonal information of the immunofluorescence picture are calculated by using a haar wavelet to form a second information set of the immunofluorescence picture;
and calculating the MSE value of the immunofluorescence picture based on the first information set and the second information set, wherein the MSE value is used as the definition value of the immunofluorescence picture.
2. The method of claim 1, wherein the two-dimensional one-level wavelet transform is a Daubechies wavelet or a haar wavelet.
3. The method of claim 1, wherein the blurring process is a gaussian blurring process or a laplacian blurring process.
4. The method of claim 1, wherein the MSE value is calculated using the following equation:
Figure FDA0003725138920000011
wherein, y i Represents the values in v1, h1, c1,
Figure FDA0003725138920000021
represents the value in v2, h2, c2, w i Equal to 1,SSE as the total difference; n is the number of pixel points of the immunofluorescence picture; and m is the number of pixel points of the immunofluorescence picture.
5. An apparatus for automatically determining a focal position of a fluorescent dark field camera, comprising:
the acquisition module is used for acquiring immunofluorescence pictures of different focusing positions of the glass slide;
the first information set acquisition module is used for carrying out gray processing on the immunofluorescence picture, and then calculating first horizontal information, first vertical information and diagonal information of the immunofluorescence picture by utilizing two-dimensional one-level wavelet change to form a first information set of the immunofluorescence picture;
the second information set acquisition module is used for carrying out fuzzy processing and gray processing on the immunofluorescence picture, and then calculating second horizontal information, second vertical information and second diagonal information of the immunofluorescence picture by using a haar wavelet to form a second information set of the immunofluorescence picture;
and the immunofluorescence picture definition value calculating module is configured to calculate the MSE value of the fluorescence picture based on the first information set and the second information set, and the MSE value is used as the definition value of the immunofluorescence picture.
6. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor when executing the program implements the method for automatically determining a focus position of a fluorescent dark field camera according to any one of claims 1 to 4.
7. A non-transitory computer readable storage medium having stored thereon a computer program, which when executed by a processor, performs the method of automatically determining a focus position of a fluorescent dark field camera according to any one of claims 1 to 4.
CN202210773283.8A 2022-07-01 2022-07-01 Method and device for automatically determining focusing position of fluorescent dark field camera Pending CN115308129A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202210773283.8A CN115308129A (en) 2022-07-01 2022-07-01 Method and device for automatically determining focusing position of fluorescent dark field camera

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202210773283.8A CN115308129A (en) 2022-07-01 2022-07-01 Method and device for automatically determining focusing position of fluorescent dark field camera

Publications (1)

Publication Number Publication Date
CN115308129A true CN115308129A (en) 2022-11-08

Family

ID=83857207

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202210773283.8A Pending CN115308129A (en) 2022-07-01 2022-07-01 Method and device for automatically determining focusing position of fluorescent dark field camera

Country Status (1)

Country Link
CN (1) CN115308129A (en)

Citations (13)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20090129674A1 (en) * 2007-09-07 2009-05-21 Yi-Chun Lin Device and method for obtaining clear image
WO2009108050A1 (en) * 2008-02-27 2009-09-03 Aleksey Nikolaevich Simonov Image reconstructor
US20120249833A1 (en) * 2011-03-31 2012-10-04 Sony Corporation Motion robust depth estimation using convolution and wavelet transforms
CN104285175A (en) * 2012-05-02 2015-01-14 法国国家科学研究中心 Method and apparatus for single-particle localization using wavelet analysis
CN105227810A (en) * 2015-06-01 2016-01-06 西北大学 A kind of automatic focus helmet video camera based on BIBAVR algorithm
CN110214290A (en) * 2017-01-24 2019-09-06 堀场(法国)有限公司 Microspectrum measurement method and system
CN111083365A (en) * 2019-12-24 2020-04-28 陈根生 Method and device for rapidly detecting optimal focal plane position
CN112861958A (en) * 2021-02-02 2021-05-28 中国人民解放军总医院第一医学中心 Method and device for identifying and classifying kidney disease immunofluorescence pictures
CN113219622A (en) * 2021-03-19 2021-08-06 哈工大机器人(中山)无人装备与人工智能研究院 Objective lens focusing method, device and system for panel defect detection
CN113777040A (en) * 2021-09-14 2021-12-10 京东方科技集团股份有限公司 Focusing method and device of linear array camera and automatic optical detection equipment
CN113933981A (en) * 2020-06-29 2022-01-14 深圳辉煌耀强科技有限公司 Automatic focusing method based on optical image definition and related equipment
CN114113115A (en) * 2021-11-29 2022-03-01 哈尔滨工业大学 High-precision automatic positioning method for micro-defects on surface of large-diameter element
CN114324278A (en) * 2021-12-29 2022-04-12 常州奥创医疗科技有限公司 Fluorescent dark field automatic focusing method based on self-adaptive grid

Patent Citations (13)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20090129674A1 (en) * 2007-09-07 2009-05-21 Yi-Chun Lin Device and method for obtaining clear image
WO2009108050A1 (en) * 2008-02-27 2009-09-03 Aleksey Nikolaevich Simonov Image reconstructor
US20120249833A1 (en) * 2011-03-31 2012-10-04 Sony Corporation Motion robust depth estimation using convolution and wavelet transforms
CN104285175A (en) * 2012-05-02 2015-01-14 法国国家科学研究中心 Method and apparatus for single-particle localization using wavelet analysis
CN105227810A (en) * 2015-06-01 2016-01-06 西北大学 A kind of automatic focus helmet video camera based on BIBAVR algorithm
CN110214290A (en) * 2017-01-24 2019-09-06 堀场(法国)有限公司 Microspectrum measurement method and system
CN111083365A (en) * 2019-12-24 2020-04-28 陈根生 Method and device for rapidly detecting optimal focal plane position
CN113933981A (en) * 2020-06-29 2022-01-14 深圳辉煌耀强科技有限公司 Automatic focusing method based on optical image definition and related equipment
CN112861958A (en) * 2021-02-02 2021-05-28 中国人民解放军总医院第一医学中心 Method and device for identifying and classifying kidney disease immunofluorescence pictures
CN113219622A (en) * 2021-03-19 2021-08-06 哈工大机器人(中山)无人装备与人工智能研究院 Objective lens focusing method, device and system for panel defect detection
CN113777040A (en) * 2021-09-14 2021-12-10 京东方科技集团股份有限公司 Focusing method and device of linear array camera and automatic optical detection equipment
CN114113115A (en) * 2021-11-29 2022-03-01 哈尔滨工业大学 High-precision automatic positioning method for micro-defects on surface of large-diameter element
CN114324278A (en) * 2021-12-29 2022-04-12 常州奥创医疗科技有限公司 Fluorescent dark field automatic focusing method based on self-adaptive grid

Non-Patent Citations (4)

* Cited by examiner, † Cited by third party
Title
刘智勇: "《卫生信息学教程》", vol. 1, 31 October 2021, 华中科技大学出版社 *
张德丰: "《Matlab小波分析与工程应用》", vol. 1, 29 February 2008, 国防工业出版社 *
耿则勋等: "《小波变换及在遥感图像处理中的应用》", vol. 1, 30 November 2016, 测绘出版社 *
高敬鹏: "《深度学习 卷积神经网络技术与实践》", vol. 1, 30 June 2020, 机械工业出版社 *

Similar Documents

Publication Publication Date Title
CN110149482B (en) Focusing method, focusing device, electronic equipment and computer readable storage medium
JP7003238B2 (en) Image processing methods, devices, and devices
CN108898567B (en) Image noise reduction method, device and system
EP3480784B1 (en) Image processing method, and device
US9036032B2 (en) Image pickup device changing the size of a blur kernel according to the exposure time
CN107493432B (en) Image processing method, image processing device, mobile terminal and computer readable storage medium
JP5766077B2 (en) Image processing apparatus and image processing method for noise reduction
US20140211045A1 (en) Image processing apparatus and image pickup apparatus
WO2021057294A1 (en) Method and apparatus for detecting subject, electronic device, and computer readable storage medium
US20130307966A1 (en) Depth measurement apparatus, image pickup apparatus, and depth measurement program
CN107481186B (en) Image processing method, image processing device, computer-readable storage medium and computer equipment
CN107563979B (en) Image processing method, image processing device, computer-readable storage medium and computer equipment
CN110796041A (en) Subject recognition method and device, electronic equipment and computer-readable storage medium
CN113313626A (en) Image processing method, image processing device, electronic equipment and storage medium
Lee et al. Color shift model-based image enhancement for digital multifocusing based on a multiple color-filter aperture camera
CN115278103B (en) Security monitoring image compensation processing method and system based on environment perception
KR20240128930A (en) Method, device and storage medium for removing image noise
CN111105370B (en) Image processing method, image processing apparatus, electronic device, and readable storage medium
CN116051391A (en) Image processing method and electronic equipment
CN114140481A (en) Edge detection method and device based on infrared image
CN113938578B (en) Image blurring method, storage medium and terminal equipment
CN115308129A (en) Method and device for automatically determining focusing position of fluorescent dark field camera
CN116320792A (en) Method for enhancing resolution and reducing noise in multi-frame image
KR20150032764A (en) Method and image capturing device for generating artificially defocused blurred image
CN114972084A (en) Image focusing accuracy evaluation method and system

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination