CN110895963A - Cell DNA quantitative determination system based on artificial intelligence - Google Patents
Cell DNA quantitative determination system based on artificial intelligence Download PDFInfo
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- CN110895963A CN110895963A CN201911049221.7A CN201911049221A CN110895963A CN 110895963 A CN110895963 A CN 110895963A CN 201911049221 A CN201911049221 A CN 201911049221A CN 110895963 A CN110895963 A CN 110895963A
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- G—PHYSICS
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- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
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- G16B20/00—ICT specially adapted for functional genomics or proteomics, e.g. genotype-phenotype associations
- G16B20/20—Allele or variant detection, e.g. single nucleotide polymorphism [SNP] detection
Abstract
The invention discloses a cell DNA quantitative detection system based on artificial intelligence, which comprises a detection imaging system, a cell DNA quantitative detection system and a cell DNA quantitative detection system, wherein the detection imaging system is used for quantitatively detecting the cancer number of the cell DNA; the result processing system receives and processes the detection data and transmits the processed detection data to the doctor terminal and the user terminal; the detection imaging system performs data interaction with the result processing system through the Internet, and the doctor terminal is in real-time communication with the user terminal; the cell DNA quantitative detection system adopts the multispectral imaging technology for detection, has accurate detection result, avoids errors caused by manual judgment, can transmit a user detection order generated in a doctor terminal to a result processing system, matches detection order information with a detection result report detected by a user in the result processing system, and directly transmits the detection order information to the doctor terminal and the user terminal so as to be convenient for a patient and the doctor to check and facilitate the patient to see.
Description
Technical Field
The invention relates to a quantitative detection system, in particular to a cell DNA quantitative detection system based on artificial intelligence, and belongs to the technical field of cell DNA detection.
Background
Cervical cancer is the 3 rd most common malignancy among women worldwide after breast and colorectal cancers, the 2 nd most common malignancy in developing countries after breast cancer, and the most common malignancy of the female reproductive tract. There are estimated 52.98 million new cases of cervical cancer and 25.51 million deaths globally in 2008, with 85% of new cases in developing countries (Jemal, 2011). With the development of cervical cancer screening, the incidence and mortality of cervical cancer in developed countries are obviously reduced. The incidence of cervical cancer has obvious regional difference, the distribution of the cervical cancer in China is mainly in the middle region, rural areas are higher than cities, mountain areas are higher than plains, and the high-incidence areas in China have Jiangxi bronze drum, Hubei Wufeng and Shaanxi slight yang.
For cervical cancer examination, the traditional detection method is to use the pap smear method for detection to facilitate diagnosis of doctors, but the traditional pap smear method mainly comprises the steps of smearing a detected cell specimen on a glass slide, immediately fixing the cell specimen for 15-20 minutes by using an alcohol reagent with a volume fraction of 95% to keep the cell shape, and then performing pap stain detection analysis for detection, but in the detection process of the pap smear method, the degree of canceration needs to be judged by relying on subjective judgment and experience accumulation of pathologists and cytologists, the human factor judgment error is large, the result judgment error is easy to cause, once the result judgment error occurs, the hospitalization time of a patient is delayed, in severe cases, the hospitalization of the patient is delayed, the life of the patient cannot be saved, and the detection result detected by the traditional pap smear method needs to be manually input into a computer, then transmitted to the computer of the doctor so that the doctor can check or print the cell DNA and send the cell DNA to the corresponding patient, the intelligent degree is low, the efficiency is low, the output effect of the detection result is seriously influenced, the patient can not be helped to seek medical advice and the doctor diagnosis, and aiming at the problems, the cell DNA quantitative detection system based on artificial intelligence is provided.
Disclosure of Invention
The invention provides a cell DNA quantitative detection system based on artificial intelligence, which solves the problems in the prior art.
In order to solve the technical problems, the invention provides the following technical scheme:
the invention provides a cell DNA quantitative detection system based on artificial intelligence, which comprises:
a detection imaging system for quantitatively detecting the number of the DNA canceration of the cells;
the result processing system receives and processes the detection data and transmits the processed detection data to the doctor terminal and the user terminal;
the detection imaging system performs data interaction with the result processing system through the Internet, and the doctor terminal is in real-time communication with the user terminal.
As a preferred technical scheme of the present invention, the detection imaging system includes a detection host, a real-time imaging and de-aliasing module and a microscopic imaging module, the microscopic imaging module performs microscopic amplification on a cell to be detected, and performs de-aliasing real-time imaging in the real-time imaging and de-aliasing module, the detection host is electrically connected to the real-time imaging and de-aliasing module through a USB interface, and receives image data after de-aliasing transmitted by the real-time imaging and de-aliasing module for processing and analysis.
As a preferred technical solution of the present invention, the real-time imaging and de-aliasing module includes an FPGA chip, a double data rate synchronous dynamic random access memory, an image sensor, a CY7C68013A interface chip, and a power supply chip, and the image processor acquires a cell image displayed by the microscopic imaging module in real time.
As a preferred technical scheme of the invention, the microscopic imaging module comprises a light source, a multi-channel narrowband optical filter, a cell smear and a microscopic imaging unit, wherein the light source provides illumination for the cell smear through the multi-channel narrowband optical filter, the cell smear is subjected to fine amplification in the microscopic imaging unit, the microscopic imaging unit is a biological microscope, and the real-time imaging and de-aliasing module acquires images in the microscopic imaging unit in real time.
As a preferred technical solution of the present invention, the result processing system includes a processing host, a database, and a detection report printing module, wherein the processing host receives and processes the detection data, generates a detection report, matches the detection report with the received user detection order information, and then transmits the matched detection report to the doctor terminal and the user terminal, the database receives and stores the data transmitted by the processing host, and the processing host further transmits the detection report to the detection report printing module.
As a preferred technical scheme of the invention, the doctor terminal is a computer, and the doctor terminal generates a user detection order after receiving the user information of the user terminal and sends the user detection order to the user terminal and the processing host.
As a preferred technical solution of the present invention, the user terminal may be a mobile phone, a computer, a tablet computer, or a notebook computer.
The invention has the following beneficial effects: compared with the prior art, the cell DNA quantitative detection system based on artificial intelligence has the following beneficial effects:
1. the cell DNA quantitative detection system provided by the invention adopts a multispectral imaging technology for detection, can convert a cell image under a microscope into a curve image so as to facilitate judgment, has good intuition and accurate detection result, avoids errors caused by artificial judgment, can directly generate a detection result and send the detection result to a doctor terminal and a user terminal for checking, and has high efficiency.
2. The cell DNA quantitative detection system transmits the user detection order generated in the doctor terminal to the result processing system, the detection order information is matched with the detection result report detected by the user in the result processing system and is directly sent to the doctor terminal and the user terminal, so that the patient can conveniently store the detection result, the doctor can conveniently check and diagnose, the diagnosis result is sent to the patient to check, the patient can conveniently see a doctor, the intelligentization degree is high, and the patient seeing speed is favorably improved.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:
FIG. 1 is a schematic view of the subjective structure of an artificial intelligence-based quantitative detection system for cellular DNA provided by the present invention;
FIG. 2 is a schematic block diagram of an artificial intelligence-based quantitative detection system for cellular DNA provided by the invention;
FIG. 3 is a schematic structural diagram of a microscopic imaging module of an artificial intelligence-based quantitative detection system for cellular DNA provided by the invention;
FIG. 4 is a block diagram of imaging and de-aliasing module hardware of an artificial intelligence-based quantitative detection system for cellular DNA provided by the invention;
in the figure: 1. detecting an imaging system; 2. a result processing system; 3. a doctor terminal; 4. a user terminal; 5. detecting a host; 6. an imaging and de-aliasing module; 7. a microscopic imaging module; 71. a light source; 72. a multi-channel narrow-band filter; 73. cell smear; 74. a microscopic imaging unit; 8. processing the host; 9. a database; 10. and a detection report printing module.
Detailed Description
The preferred embodiments of the present invention will be described in conjunction with the accompanying drawings, and it will be understood that they are described herein for the purpose of illustration and explanation and not limitation.
Example 1
As shown in fig. 1 to 4, the present invention provides an artificial intelligence-based quantitative cellular DNA detection system, which includes:
the detection imaging system 1 is used for quantitatively detecting the cell DNA canceration number;
the result processing system 2 receives and processes the detection data, and transmits the processed detection data to the doctor terminal 3 and the user terminal 4;
the detection imaging system 1 carries out data interaction with the result processing system 2 through the internet, and the doctor terminal 3 carries out real-time communication with the user terminal 4.
The detection imaging system 1 comprises a detection host 5, a real-time imaging and de-aliasing module 6 and a microscopic imaging module 7, the microscopic imaging module 7 is used for carrying out microscopic amplification on cells to be detected and carrying out de-aliasing real-time imaging in the real-time imaging and de-aliasing module 6, the detection host 5 is electrically connected with the real-time imaging and de-aliasing module 6 through a USB interface and receives image data transmitted by the real-time imaging and de-aliasing module 6 after de-aliasing for processing and analysis.
The microscopic imaging unit 74 is used for carrying out fine amplification on the cell smear 73 in the microscopic imaging module 7, meanwhile, the real-time imaging and de-aliasing module 6 collects images, processes and analyzes the images, transmits the image data after processing and analysis to the detection host 5, and directly analyzes and processes the image data into a curve image in the detection host 5 so as to facilitate transmission.
The microscopic imaging module 7 comprises a light source 71, a multi-channel narrow-band optical filter 72, a cell smear 73 and a microscopic imaging unit 74, wherein the light source 71 provides illumination for the cell smear 73 through the multi-channel narrow-band optical filter 72, the cell smear 73 is subjected to fine amplification in the microscopic imaging unit 74, the microscopic imaging unit 74 is a biological microscope, and the real-time imaging and anti-aliasing module 6 acquires images in the microscopic imaging unit 74 in real time.
The result processing system 2 comprises a processing host 8, a database 9 and a detection report printing module 10, wherein the processing host 8 receives and processes the detection data to generate a detection report, matches the detection report with the received user detection order information, and then transmits the matched detection report to the doctor terminal 3 and the user terminal 4, the database 9 receives and stores the data transmitted by the processing host 8, and the processing host 8 further transmits the detection report to the detection report printing module 10.
The doctor terminal 3 is a computer, and the doctor terminal 3 generates a user detection order after receiving the user information of the user terminal 4 and sends the user detection order to the user terminal 4 and the processing host 8.
The user terminal 4 may be a mobile phone, a computer, a tablet computer or a notebook computer.
Specifically, the patient can adopt the electronic medical card in the user terminal 4 to see a doctor in the doctor terminal 3, the doctor generates detection order information through the doctor terminal 3 and sends the detection order information to the processing host 8 and the electronic medical card in the user terminal 4, the processing host 8 processes the received detection order information, the detection order information is stored in the database 9 in a classified manner, and then the patient uses the electronic medical card in the user terminal 4 to detect;
during detection, the detection host 5 obtains user detection order information in the user terminal 4, DNA quantitative detection is carried out through the microscopic imaging module 7 and the real-time imaging and de-aliasing module 6 according to the user detection order information, whether the cell NDA is cancerated or not is analyzed, the real-time imaging and de-aliasing module 6 sends a detection image to the detection host 5, a final detection report is formed in the detection host 5, then the detection host 5 also transmits the detection report and detection image data used during processing to the processing host 8, the detection report is matched with the user order information after processing of the processing host 8, after matching is successful, the processing host 8 stores the detection report and the detection image data used during analysis in the database 9, then the detection report is transmitted to the detection report printing module 10 for printing and is transmitted to the user terminal 4, so as to be read by the patient, and transmits the detection report to the doctor terminal 3 together with the detection data used in the analysis process, so as to be read by the doctor and further analyze the condition of the patient by looking at the detection image data.
Example 2
As shown in fig. 3, the microscopic imaging module 7 includes a light source 71, a multi-channel narrow-band filter 72, a cell smear 73 and a microscopic imaging unit 74, the light source 71 provides light to the cell smear 73 through the multi-channel narrow-band filter 72, the cell smear 73 is slightly enlarged in the microscopic imaging unit 74, the microscopic imaging unit 74 is a biological microscope, and the real-time imaging and antialiasing module 6 acquires images in the microscopic imaging unit 74 in real time.
As shown in fig. 4, the real-time imaging and de-aliasing module 6 includes an FPGA chip, a double data rate synchronous dynamic random access memory, an image sensor, a CY7C68013A interface chip, and a power supply chip, the graphics processor performs real-time acquisition on the cell image displayed by the microscopic imaging module 7, and the image sensor adopts an MT9T031 chip.
The power chip supplies power to the real-time imaging and de-aliasing module 6, the CY7C68013A interface chip is electrically connected with the detection host 5 through a USB transmission line, the image sensor collects images in the microscopic imaging unit 74, transmits the images to the FPGA chip for de-aliasing processing, processes the image data into a curve image, transmits the processed curve image data to the detection host 5 through the CY7C68013A interface chip, the detection host 5 converts the curve image data into a detection report through processing, and meanwhile, the double-data-rate synchronous dynamic random access memory stores the received image data.
When the microscopic imaging module 7, the real-time imaging and de-aliasing module 6 and the detection host 5 are used for detecting the quantity of the cell DNA, the DNA index operation needs to be carried out, and the principle of the DNA index operation is as follows:
according to Lambert-Beer's law, the absorbance is proportional to the content of a substance, and the more the substance is, the more light is absorbed, the lower the light transmission, and the expression is:
in the formula I0Parallel, uniform incident beam intensity at wavelength λ; i is the transmitted beam intensity after transmission through the target, A is the absorbance; epsilon is the molar absorption coefficient of the component to be detected; b is the optical path; c is the mass concentration of the substance of the component to be measured.
When analyzing, a relative measurement strategy is generally adopted, and the incident light beam intensity is I0The intensity of transmitted beam of normal cell smear is InThe amount concentration of DNA of normal cells is CnThe absorbance of DNA of normal cells is AnThe transmitted light beam intensity of the cell smear to be measured is IdQuantitative concentration C of DNA of test celldThe absorbance of the DNA of the test cell is AdHaving the same incident beam intensity I for the same test system0And the same optical path b, and the same detection substance has the same molar absorptivity epsilon, then according to Lambert-Beer's law:
two equations in the formula (2) are transformed into
In formula (3), DI is a DNA index and is a medical parameter for characterizing the degree of canceration, and the expression is DI ═ Cd/CnWhen the tested cells are in the G0/G1 phase, the DI is about 1, when the cells are in the G2/M phase, the DI is about equal to 2, and the DI of the abnormal cancer cells is far more than 2.
Therefore, the DNA content measured by the cellular DNA quantitative analysis method is a relative value, not an absolute value of the measured DNA content, and since the DNA content and morphology in lymphocytes are stable, the IOD value of lymphocytes is generally measured and compared with the DNA of cells to be measured using it as a reference for the DNA of normal cells.
The cell DNA quantitative detection system adopts the multispectral imaging technology for detection, can convert cell images under a microscope into curve images so as to facilitate judgment, has good intuition and accurate detection results, avoids errors caused by manual judgment, can transmit user detection orders generated in the doctor terminal 3 to the result processing system 2, matches detection order information with detection result reports detected by users in the result processing system 2, and directly transmits the detection order information to the doctor terminal 3 and the user terminal 4 so as to facilitate the patients to store the detection results, facilitate the doctors to check for diagnosis and transmit the diagnosis results to the patients for checking, thereby facilitating the patients to see medical advice, having high intelligent degree and being beneficial to improving the patient seeing speed.
Finally, it should be noted that: although the present invention has been described in detail with reference to the foregoing embodiments, it will be apparent to those skilled in the art that changes may be made in the embodiments and/or equivalents thereof without departing from the spirit and scope of the invention. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (7)
1. A cell DNA quantitative detection system based on artificial intelligence is characterized by comprising:
a detection imaging system (1), wherein the detection imaging system (1) is used for quantitatively detecting the DNA canceration number of the cells;
the result processing system (2) receives and processes the detection data, and transmits the processed detection data to the doctor terminal (3) and the user terminal (4);
the detection imaging system (1) performs data interaction with the result processing system (2) through the Internet, and the doctor terminal (3) is in real-time communication with the user terminal (4).
2. The cell DNA quantitative detection system based on artificial intelligence is characterized in that the detection imaging system (1) comprises a detection host (5), a real-time imaging and de-aliasing module (6) and a microscopic imaging module (7), the microscopic imaging module (7) is used for carrying out microscopic amplification on a cell to be detected and carrying out de-aliasing real-time imaging in the real-time imaging and de-aliasing module (6), the detection host (5) is electrically connected with the real-time imaging and de-aliasing module (6) through a USB interface and is used for receiving de-aliasing image data transmitted by the real-time imaging and de-aliasing module (6) for processing and analysis.
3. The artificial intelligence based quantitative cell DNA detection system according to claim 2, wherein the real-time imaging and de-aliasing module (6) comprises an FPGA chip, a double data rate synchronous dynamic random access memory, an image sensor, a CY7C68013A interface chip and a power supply chip, and the graphics processor acquires the cell image displayed by the microscopic imaging module (7) in real time.
4. The artificial intelligence based quantitative cell DNA detection system according to claim 2, wherein the microscopic imaging module (7) comprises a light source (71), a multi-channel narrow-band filter (72), a cell smear (73) and a microscopic imaging unit (74), the light source (71) provides light to the cell smear (73) through the multi-channel narrow-band filter (72), the cell smear (73) is finely magnified in the microscopic imaging unit (74), the microscopic imaging unit (74) is a biological microscope, and the real-time imaging and de-aliasing module (6) acquires images in the microscopic imaging unit (74) in real time.
5. The system for quantitative cell DNA detection based on artificial intelligence as claimed in claim 1, wherein the result processing system (2) comprises a processing host (8), a database (9) and a detection report printing module (10), the processing host (8) receives and processes the detection data, generates a detection report, matches the detection report with the received user detection order information, and then transmits the matched detection report to the doctor terminal (3) and the user terminal (4), the database (9) receives and stores the data transmitted by the processing host (8), and the processing host (8) further transmits the detection report to the detection report printing module (10).
6. The system for quantitative cell DNA detection based on artificial intelligence as claimed in claim 1, wherein the doctor terminal (3) is a computer, and the doctor terminal (3) receives the user information of the user terminal (4) to generate a user detection order and send the user detection order to the user terminal (4) and the processing host (8).
7. The system for quantitative detection of cellular DNA based on artificial intelligence as claimed in claim 1, wherein the user terminal (4) can be a mobile phone, a computer, a tablet computer or a notebook computer.
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