CN116614272A - Digital remote sharing platform for scanning electron microscope - Google Patents
Digital remote sharing platform for scanning electron microscope Download PDFInfo
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- CN116614272A CN116614272A CN202310585147.0A CN202310585147A CN116614272A CN 116614272 A CN116614272 A CN 116614272A CN 202310585147 A CN202310585147 A CN 202310585147A CN 116614272 A CN116614272 A CN 116614272A
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- 238000012545 processing Methods 0.000 claims abstract description 35
- 238000001000 micrograph Methods 0.000 claims abstract description 21
- 238000004422 calculation algorithm Methods 0.000 claims abstract description 12
- 238000013500 data storage Methods 0.000 claims abstract description 11
- 230000009467 reduction Effects 0.000 claims abstract description 6
- 230000006835 compression Effects 0.000 claims abstract description 5
- 238000007906 compression Methods 0.000 claims abstract description 5
- 238000013139 quantization Methods 0.000 claims abstract description 5
- 238000010606 normalization Methods 0.000 claims description 11
- 238000013507 mapping Methods 0.000 claims description 5
- 230000008859 change Effects 0.000 claims description 3
- 238000012937 correction Methods 0.000 claims description 3
- 238000009795 derivation Methods 0.000 claims description 3
- 239000003550 marker Substances 0.000 claims description 3
- 238000005070 sampling Methods 0.000 claims description 3
- 230000002159 abnormal effect Effects 0.000 claims 1
- 238000004364 calculation method Methods 0.000 description 5
- 230000005540 biological transmission Effects 0.000 description 4
- 238000000034 method Methods 0.000 description 4
- 230000008569 process Effects 0.000 description 3
- 230000002829 reductive effect Effects 0.000 description 3
- 230000002427 irreversible effect Effects 0.000 description 2
- 238000012549 training Methods 0.000 description 2
- 230000000007 visual effect Effects 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000006243 chemical reaction Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000006870 function Effects 0.000 description 1
- 230000010354 integration Effects 0.000 description 1
- 230000000670 limiting effect Effects 0.000 description 1
- 230000036961 partial effect Effects 0.000 description 1
- 230000002441 reversible effect Effects 0.000 description 1
- 230000005641 tunneling Effects 0.000 description 1
Classifications
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L63/00—Network architectures or network communication protocols for network security
- H04L63/02—Network architectures or network communication protocols for network security for separating internal from external traffic, e.g. firewalls
- H04L63/0272—Virtual private networks
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
- G06F21/60—Protecting data
- G06F21/602—Providing cryptographic facilities or services
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L63/00—Network architectures or network communication protocols for network security
- H04L63/10—Network architectures or network communication protocols for network security for controlling access to devices or network resources
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L9/00—Cryptographic mechanisms or cryptographic arrangements for secret or secure communications; Network security protocols
- H04L9/40—Network security protocols
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N1/00—Scanning, transmission or reproduction of documents or the like, e.g. facsimile transmission; Details thereof
- H04N1/32—Circuits or arrangements for control or supervision between transmitter and receiver or between image input and image output device, e.g. between a still-image camera and its memory or between a still-image camera and a printer device
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N1/00—Scanning, transmission or reproduction of documents or the like, e.g. facsimile transmission; Details thereof
- H04N1/44—Secrecy systems
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N1/00—Scanning, transmission or reproduction of documents or the like, e.g. facsimile transmission; Details thereof
- H04N1/46—Colour picture communication systems
- H04N1/56—Processing of colour picture signals
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N1/00—Scanning, transmission or reproduction of documents or the like, e.g. facsimile transmission; Details thereof
- H04N1/46—Colour picture communication systems
- H04N1/56—Processing of colour picture signals
- H04N1/60—Colour correction or control
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N1/00—Scanning, transmission or reproduction of documents or the like, e.g. facsimile transmission; Details thereof
- H04N1/46—Colour picture communication systems
- H04N1/56—Processing of colour picture signals
- H04N1/60—Colour correction or control
- H04N1/6077—Colour balance, e.g. colour cast correction
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/30—Computing systems specially adapted for manufacturing
Abstract
The invention relates to the field of data remote sharing, in particular to a digital remote sharing platform of a scanning electron microscope, which comprises the following components: and a scanning module: the scanning electron microscope is used for collecting images; the data processing module is used for: the scanning module is used for scanning the collected images according to the scanning module to perform data processing to obtain electron microscope image data; and a data storage module: the data processing module is used for processing data according to the data processing module, and encrypting and storing the data; and a data sharing module: the electronic microscope image data sharing platform is used for sharing the encrypted and stored electronic microscope image data on the platform; and a data reduction module: for decrypting data shared by the data sharing module on the platform. The invention reduces the storage space by carrying out quantization compression storage on the image, improves the safety of the data by an encryption and decryption algorithm, becomes meaningless even if the information is intercepted by a person with improper intention, stores the data by a database, facilitates subsequent call, and realizes real-time sharing of the remote data by VPN.
Description
Technical Field
The invention relates to the field of data remote sharing, in particular to a digital remote sharing platform of a scanning electron microscope.
Background
In the process of the rapidly developed industry and computer industry in China, the industry and the computer are combined to form industrial informatization, in particular to the aspect of big data, which is also the key point and the difficult point in the data transmission, the data is lost in the process of data transmission, the events such as data are seriously disordered, data are stolen, and the like are frequently found. The prior art mainly solves the problem by authorizing other users, using account passwords and the like. However, professionals with improper intention can crack account passwords or steal data by using other methods, but users do not know that the data are still transmitted in an original mode, so that larger loss is caused, meanwhile, the data cannot be transmitted in real time, so that the data transmission delay is larger, especially for the field of scanning electron microscope digitization, if the remote operation of operators has poor real-time property of data transmission, the time of the clients operating in different places is obviously increased. Accordingly, one skilled in the art provides a remote sharing platform for digitizing a scanning electron microscope to solve the above-mentioned problems in the background art.
Disclosure of Invention
The invention aims to solve the defects in the background technology by providing a digital remote sharing platform of a scanning electron microscope.
The technical scheme adopted by the invention is as follows:
provided is a digital remote sharing platform of a scanning electron microscope, comprising:
and a scanning module: the scanning electron microscope is used for collecting images;
the data processing module is used for: the scanning module is used for scanning the collected images according to the scanning module to perform data processing to obtain electron microscope image data;
and a data storage module: the data processing module is used for processing data according to the data processing module, and encrypting and storing the data;
and a data sharing module: the electronic microscope image data sharing platform is used for sharing the encrypted and stored electronic microscope image data on the platform;
and a data reduction module: for decrypting data shared by the data sharing module on the platform.
As a preferred technical scheme of the invention: and the information scanned in the scanning module is a gray original picture.
As a preferred technical scheme of the invention: the steps for converting the electron microscope image into the RGB image are as follows:
2.1.1: reading RAW values of the scanning electron microscope images;
2.1.2: white balance correction is carried out;
2.1.3: fusing multiple channels;
2.1.4: a color space change is performed.
As a preferred technical scheme of the invention: the data processing module uses RGB image reproduction technology to restore single pixel value into three channels RGB for more convenient calculation, meanwhile, the RGB is converted into HSV three channels for calculation processing, and compared with the common RGB, the HSV can more intuitively reflect the darkness of color, the tone can more conveniently compare with the vividness, the data processing step of the data processing module (200) is as follows:
2.2.1: the RAW value of the electron microscope image obtained by reading scanning is mapped into an RGB value through a pseudo-color algorithm:
x ′ ＝ax+b
wherein x is the original pixel value, a is a coefficient, b is a bias value, x ′ To obtain new pixel value, x is again calculated ′ Mapping to RGB space to obtain pseudo-color image;
2.2.2: obtaining RGB three-channel values of the marker picture through a computer technology;
2.2.3: converting the RGB values to HSV values:
V＝max(R′,G′,B′)
if H is less than 0 then H=H+360, finally converting the value of HSV to [0,255]
Wherein R, G, B is the three channel value under RGB channel, R ′ ,G ′ B' is the corresponding three-channel value after normalization, H, S, V is the channel value under HSV channel, H ′ ,S ′ V' is an HSV channel value having a value between 0 and 255;
2.2.4: color enhancement of HSV by color constancy algorithm:
wherein C is pixel point H ', S ', V ' is HSV three channel value after color enhancement, k h ,k s ,k v Is the gain coefficientIs the average value of the sum of HSV three channel values.
As a preferred technical scheme of the invention: to eliminate the irreversible effect that different dimensions may have on model training, therefore, to normalize the C obtained by color enhancement to eliminate outliers, if not normalize may result in model non-convergence, the normalization formula is as follows:
wherein C is max C is the maximum point of the pixel min C is the value of the original pixel point, and C' is the value of the pixel point obtained after normalization.
As a preferred technical scheme of the invention:
the data storage module (300) stores the compression codes into a network database after encryption, and the encryption algorithm is as follows:
where I' (H, S, V) is the value of HSV encrypted by derivation,derivative of HSV, ++>In order to derive a bias with respect to H,to determine the bias with respect to S->For the purpose of V bias, the values of H, S, V are all in the range of 0 to 255.
As a preferred technical scheme of the invention: the data sharing module carries out real-time remote sharing on the image data of the electronic microscope by establishing a VPN and can authorize a user allowed to use, and the VPN configuration steps are as follows:
4.1: configuring a VPN server;
4.2: configuring remote access and setting user use permission;
4.3: remote data sharing is realized.
As a preferred technical scheme of the invention: the data restoration module restores the remote shared data by decrypting the remote shared data:
I＝∫∫∫I′(H,S,V)dHdSdV。
wherein ≡ ≡dσ is integral sign.
As a preferred technical scheme of the invention: the configuration VPN configures a VPN server of Windows through routing and remote access and specifies users and user rights that can use the connection.
As a preferred technical scheme of the invention: the scanning module transmits the scanned high-precision original photo to the data processing module, the data processing module obtains coded data through sampling, quantization and coding, the accuracy rate can be improved, unnecessary information is removed, the calculated pressure and the internal memory pressure are reduced, meanwhile, the gray image originally scanned by the electronic microscope is converted into an RGB image through a color conversion technology, benefits can be brought to subsequent operation and clipping processing, the RGB image is converted into an HSV image, the HSV image can be more visual and natural after being forwarded to a sharing platform in the subsequent storage process, the coded data is transmitted to the data storage module after being encrypted, the danger brought by information leakage can be reduced, the data sharing module is used for carrying out VPN configuration to realize data sharing, the cost can be reduced and higher-quality service can be provided by using VPN for carrying out data sharing, meanwhile, the safety of the data can be conveniently managed, and finally the encrypted data can be decrypted and restored by the data restoration module.
Compared with the prior art, the scanning electron microscope digital remote sharing platform provided by the invention has the beneficial effects that:
the invention reduces the storage space by carrying out quantization compression storage on the image, can lead the stored data to be visual and natural by converting the gray level picture into the HSV picture, improves the safety of the data by an encryption and decryption algorithm, becomes meaningless even if the information is intercepted by a person with improper intention, stores the data by a database, facilitates subsequent call, and realizes the real-time sharing of the remote data by VPN.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings that are needed in the description of the embodiments or the prior art will be briefly described, and it is obvious that the drawings in the description below are some embodiments of the present invention, and other drawings can be obtained according to the drawings without inventive effort for a person skilled in the art.
Fig. 1 is a system block diagram of a preferred embodiment of the present invention.
The meaning of each label in the figure is: 100. a scanning module; 200. a data processing module; 300. a data storage module; 400. a data sharing module; 500. and a data reduction module.
Detailed Description
It should be noted that, under the condition of no conflict, the embodiments of the present embodiments and features in the embodiments may be combined with each other, and the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and obviously, the described embodiments are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1, a preferred embodiment of the present invention provides a remote sharing platform for digital scanning electron microscope, comprising:
scanning module 100: the scanning electron microscope is used for collecting images;
the data processing module 200: the scanning module 100 is used for scanning the collected images to perform data processing to obtain electron microscope image data;
data storage module 300: the data processing module 200 is used for processing data according to the data processing module;
the data sharing module 400: the electronic microscope image data sharing platform is used for sharing the encrypted and stored electronic microscope image data on the platform;
data reduction module 500: for decrypting data shared on the platform by the data sharing module 400.
The information scanned in the scanning module 100 is a gray-scale original picture.
Because the electron microscope scanning image is a gray image, the electron microscope image needs to be converted into an RGB image, and the operation steps are as follows:
2.1.1: reading RAW values of the scanning electron microscope images;
2.1.2: white balance correction is carried out;
2.1.3: fusing multiple channels;
2.1.4: and carrying out color space change to obtain RGB values.
The data processing module uses the RGB image reproduction technology to restore the single pixel value into three channels RGB for more convenient calculation, meanwhile, converts RGB into HSV three channels for calculation processing, and compared with the common RGB, HSV can more intuitively reflect the darkness and the tone of the color for more convenient comparison and comparison, and the data processing module 200 comprises the following steps:
2.2.1: the RAW value of the electron microscope image obtained by reading scanning is mapped into an RGB value through a pseudo-color algorithm:
x ′ ＝ax+b
wherein x is the original pixel value, a is a coefficient, b is a bias value, x ′ To obtain new pixel value, x is again calculated ′ Mapping to RGB space results in pseudo color image, and the value of a and b needs to ensure the mapped x because the limit of the number of computer bits needs to limit the RGB value between 0 and 255 ′ The value of (2) is between 0 and 255, in this embodiment, the original gray pixel value is obtained as x 0 Obtaining x 'from the calculated relationship' 0 ＝ax 0 +b
And then x' 0 Mapping onto RGB:
wherein ω is to be ensured 1 ω 2 />ω 3 />The value range of RGB is between 0 and 255;
2.2.2: obtaining RGB three-channel values of the marker picture through a computer technology;
2.2.3: converting the RGB values to HSV values:
because the range of RGB is 0 to 255, the normalization can be realized by directly dividing 255 to reduce the range of the original data to between 0 and 1
V＝max(R′,G′,B′)
If H is less than 0 then H=H+360, finally converting the value of HSV to [0,255]
Wherein R, G, B is the three channel value under RGB channel, R ′ ,G ′ B' is the corresponding three-channel value after normalization, H, S, V is the channel value under HSV channel, H ′ ,S ′ V' is an HSV channel value having a value between 0 and 255;
2.2.4: color enhancement of HSV by color constancy algorithm:
wherein C is the pixel point H ′ S 'and V' are HSV three channel values and k after color enhancement h ,k s ,k v Is the gain coefficientIs the average value of the sum of HSV three channel values.
To eliminate the irreversible effect that different dimensions may have on model training, therefore, to normalize the C obtained by color enhancement to eliminate outliers, if not normalize may result in model non-convergence, the normalization formula is as follows:
wherein C is max C is the maximum point of the pixel min C is the value of the original pixel point, and C' is the value of the pixel point obtained after normalization.
The data storage module 300 stores the encrypted compression codes into a network database, and a common network encryption algorithm is that a simple function is used for mapping, and the encryption and decryption difficulty is high by partial derivative calculation, and the encryption algorithm is as follows:
where I' (H, S, V) is the value of HSV encrypted by derivation,derivative of HSV, ++>In order to derive a bias with respect to H,to determine the bias with respect to S->For the purpose of V bias, the values of H, S, V are all in the range of 0 to 255.
The data sharing module 400 performs remote sharing on the image data of the electronic microscope by establishing a VPN, wherein the VPN is an encrypted tunneling technology, and a private and safe network connection can be established in the internet to define that a person who can access the electronic microscope, and the access of the electronic microscope is refused to the user who is not allowed to access the electronic microscope.
The steps for configuring VPN are as follows:
4.1: configuring a VPN server;
4.2: configuring remote access and setting user use permission;
4.3: remote data sharing is realized.
The data restoration module 500 decrypts and restores the remote shared data, and solves the reverse restored data through integration:
I＝∫∫∫I′(H,S,V)dHdSdV
wherein ≡ ≡dσ is integral sign.
The configuration VPN configures a VPN server of Windows through routing and remote access and specifies users and user rights that can use the connection.
The scanning module 100 transmits the scanned high-precision original photo to the data processing module 200, obtains encoded data through sampling, quantization and encoding, transmits the encoded data to the data storage module 300 after encryption, performs VPN configuration through the data sharing module 400 to realize data sharing, and meanwhile, a user with access authority also holds a key, and finally, decrypts and restores the encrypted data through the data restoration module 500 by using the key.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential characteristics thereof. The present embodiments are, therefore, to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned.
Furthermore, it should be understood that although the present disclosure describes embodiments, not every embodiment is provided with a separate embodiment, and that this description is provided for clarity only, and that the disclosure is not limited to the embodiments described in detail below, and that the embodiments described in the examples may be combined as appropriate to form other embodiments that will be apparent to those skilled in the art.
Claims (10)
1. A digital remote sharing platform of a scanning electron microscope is characterized in that: comprising the following steps:
scanning module (100): the scanning electron microscope is used for collecting images;
a data processing module (200): the scanning module (100) is used for scanning the collected images to conduct data processing to obtain electron microscope image data;
a data storage module (300): the data processing module (200) is used for processing data according to the data processing module, and encrypting and storing the data;
a data sharing module (400): the electronic microscope image data sharing platform is used for sharing the encrypted and stored electronic microscope image data on the platform;
data reduction module (500): for decrypting data shared on the platform by the data sharing module (400).
2. The scanning electron microscope digital remote sharing platform according to claim 1, wherein: the information scanned in the scanning module (100) is a gray original picture.
3. The scanning electron microscope digital remote sharing platform according to claim 1, wherein: the steps for converting the electron microscope image into the RGB image are as follows:
2.1.1: reading RAW values of the scanning electron microscope images;
2.1.2: white balance correction is carried out;
2.1.3: fusing multiple channels;
2.1.4: and carrying out color space change to obtain RGB values.
4. The scanning electron microscope digital remote sharing platform according to claim 1, wherein: the data processing steps of the data processing module (200) are as follows:
2.2.1: the RAW value of the electron microscope image obtained by reading scanning is mapped into an RGB value through a pseudo-color algorithm:
x ′ ＝ax+b
wherein x is the original pixel value, a is a coefficient, b is a bias value, and the values of a and b are ensured to be x ′ With a size of 0 to 255, x ′ To obtain new pixel value, x is again calculated ′ Mapping to RGB space to obtain pseudo-color image;
2.2.2: obtaining RGB three-channel values of the marker picture through a computer technology;
2.2.3: converting the RGB values to HSV values:
V＝max(R′,G′,B′)
if H is less than 0 then H=H+360, finally converting the value of HSV to [0,255]
Wherein R, G, B is the three channel value under RGB channel, R ′ ,G ′ B' is the corresponding three-channel value after normalization, H, S, V is the channel value under HSV channel, H ′ ,S ′ V' is an HSV channel value having a value between 0 and 255;
2.2.4: color enhancement of HSV by color constancy algorithm:
wherein C is pixel point H ', S ', V ' is HSV three channel value after color enhancement, k h ,k s ,k v Is the gain coefficient Is the average value of the sum of HSV three channel values.
5. A scanning electron microscope digitizing remote sharing platform according to claim 3, wherein: and C obtained by color enhancement is subjected to normalization treatment to eliminate the abnormal sample, wherein the normalization formula is as follows:
wherein C is max C is the maximum point of the pixel min C is the value of the original pixel point, and C' is the value of the pixel point obtained after normalization.
6. The scanning electron microscope digital remote sharing platform according to claim 1, wherein: the data storage module (300) stores the compression codes into a network database after encryption, and the encryption algorithm is as follows:
wherein I is ′ (H, S, V) is the value of HSV encrypted by derivation,derivative of HSV, ++>To determine the bias with respect to H->To determine the bias with respect to S->For the purpose of V bias, the values of H, S, V are all in the range of 0 to 255.
7. The scanning electron microscope digital remote sharing platform according to claim 1, wherein: the data sharing module (400) carries out remote sharing on the image data of the electron microscope by establishing VPN, and the steps of configuring VPN are as follows:
4.1: configuring a VPN server;
4.2: configuring remote access and setting user use permission;
4.3: remote data sharing is realized.
8. The scanning electron microscope digital remote sharing platform according to claim 1, wherein: the data reduction module (500) reduces by decrypting the remote shared data:
I＝∫∫∫I′(H,S,V)dHdSdV
where d is the differential sign.
9. The scanning electron microscope digital remote sharing platform according to claim 7, wherein: the configuration VPN configures a VPN server of Windows through routing and remote access and specifies users and user rights that can use the connection.
10. The scanning electron microscope digital remote sharing platform according to claim 1, wherein: the scanning module (100) transmits the scanned high-precision original photo to the data processing module (200) to obtain encoded data through sampling, quantization and encoding, the encoded data is transmitted to the data storage module (300) after being encrypted, VPN configuration is carried out through the data sharing module (400) to realize data sharing, and finally the encrypted data is decrypted and restored through the data restoring module (500) by using a secret key.
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| CN114265871A (en) * | 2021-12-30 | 2022-04-01 | 欧波同科技产业有限公司 | Database-based electron microscope data analysis method |
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2023
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| US20110228096A1 (en) * | 2010-03-18 | 2011-09-22 | Cisco Technology, Inc. | System and method for enhancing video images in a conferencing environment |
| CN104622500A (en) * | 2013-11-07 | 2015-05-20 | 深圳迈瑞生物医疗电子股份有限公司 | Quick medical image sharing device and method |
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