CN215828780U - Circulating tumor cell intelligent sorting system - Google Patents
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Abstract
The utility model provides an intelligent sorting system for circulating tumor cells, which comprises a microfluidic module with a microfluidic pipeline, a microscopic image acquisition module arranged at the periphery of the microfluidic pipeline, and an image identification module electrically connected with the microscopic image acquisition module, wherein the microfluidic module is used for enabling peripheral blood of a human body after pretreatment to continuously flow in the microfluidic pipeline, the microscopic image acquisition module is used for continuously acquiring cell images in the microfluidic pipeline, and the image identification module is used for identifying the cell images and controlling the flow direction of liquid in the microfluidic pipeline so as to screen out the circulating tumor cells from the blood cells. The intelligent sorting system for circulating tumor cells provided by the utility model has the advantages of low cost, simple operation, short detection time and high accuracy, does not need to use medicines or other medical equipment, is friendly to medical care and patients, and has wide applicability.
Description
Technical Field
The utility model relates to the technical field of medical diagnosis, in particular to an intelligent sorting system for circulating tumor cells.
Background
In the field of medical diagnosis, Circulating Tumor Cells (CTCs) are a general term for various Tumor cells existing in peripheral blood of a human body, and most CTCs are apoptotic or phagocytized after entering peripheral blood due to shedding from solid Tumor foci (primary foci and metastatic foci) during spontaneous or diagnosis and treatment operations, and a small number of CTCs can escape and develop into metastatic foci, so that the death risk of malignant Tumor patients is increased. The detection of CTC related information from human peripheral blood has great clinical significance in the applications of early diagnosis, auxiliary diagnosis, prognosis evaluation, rapid judgment of chemotherapy effect, in-vivo drug resistance detection, tumor recurrence and metastasis monitoring and the like.
Patients with tumor metastases usually contain only very few CTCs per ml of whole blood (of the order of up to 10, respectively)9Red blood cells and 106Only 1-100 CTCs are present in leukocytes), accurate detection of CTCs is very difficult to achieve, and omission is very easy, making it more difficult to separate circulating tumor cells from blood.
At present, the main separation technology of CTC is a separation method (such as a density gradient centrifugation method, a microporous filtration method and the like) based on physical differences, and CTC is screened out according to the physical characteristics of the CTC, such as size, density, mechanics, dielectric property and the like. The operation is simple, but due to the heterogeneity of CTC and more overlap with the size of the white blood cells, a large amount of white blood cells are mixed in the classified sample, and the loss rate of the CTC is high; and secondly, based on a biological property difference separation method (such as affinity sorting based on magnetic nanoparticles), target cells are separated according to protein biomarkers specifically expressed on the cell surfaces, and the method is low in capture rate and sensitivity, complex in operation and high in cost of using specific antibodies.
In addition, based on the flow cytometry technology, single cell detection and sorting can be realized through a fluorescence detection method, and the method has wide application in medical clinical research and application, and is used for intracellular gene expression identification, drug screening, early diagnosis of diseases such as tumors and the like. However, in the flow cytometry method, when cells are detected, the cells need to be arranged in a single line, and the cells pass through the detection system one by one, so that the detection time is long. The application of flow cytometry to circulating tumor detection requires several circulating tumor cells to be detected and sorted out from tens of millions of blood cells, and is not feasible in time.
Although the detection technology of the circulating tumor has made great progress and some practical products are already in clinical application, the current circulating tumor detection products still have the problems of high price, complex operation, long detection time, low accuracy, low sensitivity and the like.
SUMMERY OF THE UTILITY MODEL
The embodiment of the utility model aims to provide an intelligent sorting system for circulating tumor cells, which aims to solve the technical problems of high price, complex operation, long detection time, low accuracy and low sensitivity of circulating tumor detection products in the prior art.
In order to achieve the purpose, the utility model adopts the technical scheme that: the system comprises a microfluidic module with a microfluidic pipeline, a microscopic image acquisition module arranged on the periphery of the microfluidic pipeline, and an image identification module electrically connected with the microscopic image acquisition module, wherein the microfluidic module is used for enabling the preprocessed human peripheral blood to continuously flow in the microfluidic pipeline, the microscopic image acquisition module is used for continuously acquiring cell images in the microfluidic pipeline, and the image identification module is used for identifying the cell images and controlling the flow direction of liquid in the microfluidic pipeline so as to screen out circulating tumor cells from blood cells.
Optionally, the microfluidic module includes a microfluidic chip having the microfluidic channel, an injection component in communication with the microfluidic channel and configured to inject the pretreated peripheral blood of the human body into the microfluidic channel, a collector in communication with the microfluidic channel and configured to collect the sorted circulating tumor cells, and a waste liquid tank in communication with the microfluidic channel and configured to collect waste liquid.
Optionally, the injection assembly comprises a first injector, a first injection pump connected to the first injector and used for pumping the pretreated peripheral blood of the human body in the first injector into the microfluidic pipeline, and a first injection hose used for communicating the first injector and the microfluidic pipeline.
Optionally, the injection assembly further includes a second injector arranged in parallel with the first injector, a second injection pump connected to the second injector and configured to pump a sheath fluid in the second injector into the microfluidic channel, and a second injection hose configured to communicate the second injector with the microfluidic channel.
Optionally, the micro-fluidic pipeline includes the trunk line, the trunk line have be located the pipeline upper reaches and with the viscoelastic blood sample liquid inlet of first injection hose intercommunication, be located the pipeline lower reaches and with the sorting channel of collector intercommunication to and be located the pipeline lower reaches and with the waste liquid export of waste liquid jar intercommunication, still have in the trunk line with the image acquisition region that microscopic image acquisition module corresponds, the pipeline lower reaches of trunk line are provided with and are used for control the solenoid valve of the flow direction of the fluid in the trunk line.
Optionally, the micro-fluidic pipeline includes the trunk line, the trunk line have be located the pipeline upper reaches and with the blood sample liquid inlet of first injection hose intercommunication, be located the pipeline upper reaches and with the sheath liquid entry of second injection hose intercommunication, be located the pipeline low reaches and with the sorting channel of collector intercommunication to and be located the pipeline low reaches and with the waste liquid export of waste liquid jar intercommunication, still have in the trunk line with the image acquisition region that microscopic image acquisition module corresponds, the pipeline low reaches of trunk line are provided with and are used for control the solenoid valve of the flow direction of the fluid in the trunk line.
Optionally, the collector is communicated with the sorting channel through a sorting hose, and the waste liquid cylinder is communicated with the waste liquid outlet through an outflow hose.
Optionally, the microscopic image acquisition module includes an object stage provided with a through hole, a microscopic objective lens disposed below the through hole, a light source disposed above the through hole, a camera disposed above the through hole, and a focusing device for focusing, the through hole is used for accommodating the microfluidic chip, and the camera is used for shooting images of flowing cells flowing into the microfluidic pipeline in real time.
Optionally, the image recognition module is connected to the camera via a transmission line and is configured to recognize the flow cell image.
Optionally, the image recognition module is electrically connected to the solenoid valve and is configured to control the solenoid valve to open or close.
The intelligent sorting system for circulating tumor cells provided by the utility model has the beneficial effects that: compared with the prior art, the intelligent sorting system for the circulating tumor cells comprises a microfluidic module with a microfluidic pipeline, a microscopic image acquisition module arranged on the periphery of the microfluidic pipeline and an image recognition module electrically connected with the microscopic image acquisition module, wherein the microfluidic module is used for enabling the peripheral blood of a human body after pretreatment to continuously flow in the microfluidic pipeline, the microscopic image acquisition module is used for continuously acquiring cell images in the microfluidic pipeline, and the image recognition module is used for recognizing the cell images and controlling the liquid flow direction of the microfluidic pipeline so as to screen out the circulating tumor cells from the blood cells.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be 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 only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without inventive exercise.
Fig. 1 is a schematic perspective view of an intelligent sorting system for circulating tumor cells according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of a front view of an intelligent sorting system for circulating tumor cells according to an embodiment of the present invention;
fig. 3 is a schematic top view of the intelligent sorting system for circulating tumor cells according to the embodiment of the present invention;
FIG. 4 is a schematic diagram of a side view of an intelligent sorting system for circulating tumor cells according to an embodiment of the present invention;
fig. 5 is a schematic perspective view of a microfluidic channel according to an embodiment of the present invention;
fig. 6 is a schematic perspective view of a microfluidic channel according to another embodiment of the present invention.
Wherein, in the figures, the respective reference numerals:
10. a microfluidic module; 11. a microfluidic chip; 111. a viscoelastic blood sample fluid inlet; 112. a sorting channel; 113. a waste liquid outlet; 114. an image acquisition area; 115. an electromagnetic valve; 116. a blood sample fluid inlet; 117. a sheath fluid inlet; 12. a collector; 121. the sorting hoses are communicated; 13. a waste liquid tank; 131. an outflow hose; 14. a first syringe; 15. a first syringe pump; 16. a first injection hose; 17. a second syringe; 18. a second syringe pump; 19. a second injection hose; 20. a microscopic image acquisition module; 21. an object stage; 211. a through hole; 22. a microscope objective; 23. a light source; 24. a camera; 25. a focusing device; 30. an image recognition module; 31. a transmission line; 40. a base.
Detailed Description
In order to make the technical problems, technical solutions and advantageous effects to be solved by the present invention more clearly apparent, the present invention is further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the utility model and are not intended to limit the utility model.
It will be understood that when an element is referred to as being "secured to" or "disposed on" another element, it can be directly on the other element or be indirectly on the other element. When an element is referred to as being "connected to" another element, it can be directly connected to the other element or be indirectly connected to the other element.
It will be understood that the terms "length," "width," "upper," "lower," "front," "rear," "left," "right," "vertical," "horizontal," "top," "bottom," "inner," "outer," and the like, as used herein, refer to an orientation or positional relationship indicated in the drawings, which is solely for the purpose of facilitating the description and simplifying the description, and 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 is therefore not to be construed as limiting the utility model.
Furthermore, the terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of the present invention, "a plurality" means two or more unless specifically defined otherwise.
In recent years, microfluidic technology has become more widely used in circulating tumor detection. The microfluidic chip 11 technology enriches CTCs based on their physical or biochemical properties or a combination of both, requires small sample size, is flow rate controllable, and is capable of capturing living cells.
Referring to fig. 1 to 4, an intelligent sorting system for circulating tumor cells according to an embodiment of the present invention will now be described. The intelligent sorting system for the circulating tumor cells comprises a microfluidic module 10, a microscopic image acquisition module 20 and an image identification module 30. The micro-fluidic module 10 is provided with a micro-fluidic pipeline and is used for enabling the preprocessed human peripheral blood to continuously flow in the micro-fluidic pipeline, the microscopic image acquisition module 20 is arranged at the periphery of the micro-fluidic pipeline and is used for continuously acquiring cell images in the micro-fluidic pipeline, the image recognition module 30 is electrically connected with the microscopic image acquisition module 20 and is used for receiving the cell images and recognizing the cell images, and the flow direction of liquid in the micro-fluidic pipeline is controlled according to the recognized cell images so as to screen out circulating tumor cells from blood cells.
Compared with the prior art, the intelligent sorting system for the circulating tumor cells, provided by the utility model, comprises a micro-fluidic module 10 with a micro-fluidic pipeline, a microscopic image acquisition module 20 arranged at the periphery of the micro-fluidic pipeline, and an image identification module 30 electrically connected with the microscopic image acquisition module 20, wherein the micro-fluidic module 10 is used for enabling the peripheral blood of a human body after pretreatment to continuously flow in the micro-fluidic pipeline, the microscopic image acquisition module 20 is used for continuously acquiring cell images in the micro-fluidic pipeline, and the image identification module 30 is used for identifying the cell images and controlling the liquid flow direction of the micro-fluidic pipeline so as to screen out the circulating tumor cells from the blood cells.
Wherein, the pretreated human peripheral blood contains a large amount of blood cells and CTCs, and the cells are subjected to nuclear staining or non-nuclear staining, and when the cells are subjected to nuclear staining and still have activity after cell sorting, a staining agent which does not influence the activity of the cells can be used and diluted by a buffer solution. The pretreatment process of the embodiment of the utility model is simple, diluted human peripheral blood or human peripheral blood subjected to initial density gradient centrifugation is used as a sample, leukocytes which are similar to the physical characteristics of circulating tumors and are extremely difficult to separate in peripheral blood do not need to be removed, and only nuclear staining or no nuclear staining is needed.
In one embodiment of the present invention, the microfluidic module 10 comprises a microfluidic chip 11, an injection assembly, a collector 12 and a waste cylinder 13. The micro-fluidic chip 11 is provided with the micro-fluidic pipeline, the injection assembly is communicated with the micro-fluidic pipeline and is used for injecting the pretreated peripheral blood of the human body into the micro-fluidic pipeline, the collector 12 is communicated with the micro-fluidic pipeline and is used for collecting the sorted circulating tumor cells, and the waste liquid cylinder 13 is communicated with the micro-fluidic pipeline and is used for collecting waste liquid, wherein the waste liquid is blood without circulating tumor cells. In this embodiment, the pretreated peripheral blood of the human body is used as a sample, and is injected into the injection module, and then is injected into the microfluidic chip 11 through the injection module.
The microfluidic chip 11 has a flat cross section (for example, 50um × 200um), because the subsequent microscopic image acquisition module 20 uses a microscope to magnify, the depth of field of the acquired image is small, and is usually only a few micrometers to a few tens of micrometers, and in order to make the acquired image on the focal plane of the microscope and make the image clear, the following two methods can be used: first, a sheath flow is formed by passing sheath fluid into the syringe assembly, thereby squeezing the blood into a thin layer, which passes through the image acquisition region 114; second, in the buffer dilution of blood, a viscoelastic buffer solution (for example, a Hyaluronic Acid (HA) solution or a polyvinylpyrrolidone (PVP) solution) is used to form a viscoelastic liquid in the sample itself, and cells are aligned in the central position plane and pass through the image capturing area 114 by using a viscoelastic focusing mechanism of the viscoelastic liquid in the flat microfluidic channel.
In one embodiment of the present invention, referring to fig. 1-4, the injection assembly includes a first syringe 14, a first syringe pump 15, and a first syringe hose 16. The first syringe pump 15 is connected to the first syringe 14, the first syringe pump 15 is used for pumping the pretreated peripheral blood of the human body in the first syringe 14 into the microfluidic pipeline, and the first syringe hose 16 is used for communicating the first syringe 14 with the microfluidic pipeline. In this embodiment, the pretreated peripheral blood of a human body, which itself can form a viscoelastic liquid, is used as a sample, injected into the first syringe 14, and injected into the microfluidic chip 11 at an appropriate speed by the first syringe pump 15.
In this embodiment, referring to fig. 5, the microfluidic conduit comprises a main conduit having a viscoelastic blood sample fluid inlet 111, a sorting channel 112 and a waste fluid outlet 113. Wherein the viscoelastic blood sample fluid inlet 111 is located upstream of the conduit and is in communication with the first injection hose 16, the sorting channel 112 is located downstream of the conduit and is in communication with the collector 12, and the waste fluid outlet 113 is located downstream of the conduit and is in communication with the waste cylinder 13. In addition, an image acquisition region 114 is also arranged in the main pipeline, and the image acquisition region 114 corresponds to the microscopic image acquisition module 20. A solenoid valve 115 for controlling the flow direction of the fluid in the main pipe is provided downstream of the main pipe. Specifically, the image recognition module 30 is electrically connected to the solenoid valve 115 and is used for controlling the opening or closing of the solenoid valve 115.
In this embodiment, when the image recognition module 30 detects that the circulating tumor cells pass through the image recognition area, the solenoid valve 115 downstream of the control channel operates to generate a suction force to change the trajectory of the fluid flow in the microfluidic chip 11, so that the circulating tumor cells enter the sorting channel 112, thereby realizing the sorting of the cells. When no circulating tumor cells are detected, the solenoid valve 115 is closed and the sample flow enters from the viscoelastic blood sample fluid inlet 111 and exits from the waste fluid outlet 113. The control channel of the solenoid valve 115 for controlling the flow direction is connected with the solenoid valve 115, when the solenoid valve 115 works, the waste liquid channel is closed, and the fluid in the channel changes the flow direction. Wherein, the waste liquid outlet 113 is connected with the waste liquid cylinder 13 for collecting waste liquid; the sorted circulating tumor cells in the sorting channel 112 flow to the collector 12 for collection.
In another embodiment of the present invention, referring to fig. 1-4, the injection assembly further comprises a second syringe 17, a second syringe pump 18 and a second syringe hose 19. Wherein, the second injector 17 is arranged in parallel with the first injector 14 to save space; the second injection pump 18 is connected with the second injector 17, the second injection pump 18 is used for pumping sheath liquid in the second injector 17 into the microfluidic pipeline, and the second injection hose 19 is used for communicating the second injector 17 and the microfluidic pipeline. In this embodiment, the pretreated peripheral blood of the human body passes through the microfluidic chip 11 by the first injection pump 15, and the sheath fluid is introduced by the second injection pump 18, so that the blood is extruded into a thin layer, and the compressed flowing state of various cells in the sample in the pipeline is maintained, thereby meeting the depth of field requirement of the microscopic imaging system.
In this embodiment, referring to fig. 6, the microfluidic channel includes a main channel having a blood sample liquid inlet 116, a sheath liquid inlet 117, a sorting channel 112, and a waste liquid outlet 113. Wherein the blood sample fluid inlet 116 is located upstream of the conduit and is in communication with the first injection hose 16, the sheath fluid inlet 117 is located upstream of the conduit and is in communication with the second injection hose 19, the sorting channel 112 is located downstream of the conduit and is in communication with the collector 12, and the waste outlet 113 is located downstream of the conduit and is in communication with the waste tank 13. In addition, an image acquisition region 114 is also arranged in the main pipeline, and the image acquisition region 114 corresponds to the microscopic image acquisition module 20. A solenoid valve 115 for controlling the flow direction of the fluid in the main pipe is provided downstream of the main pipe. Specifically, the image recognition module 30 is electrically connected to the solenoid valve 115 and is used for controlling the opening or closing of the solenoid valve 115.
In this embodiment, when the image recognition module 30 detects that the circulating tumor cells pass through the image recognition area, the solenoid valve 115 downstream of the control channel operates to generate a suction force to change the trajectory of the fluid flow in the microfluidic chip 11, so that the circulating tumor cells enter the sorting channel 112, thereby realizing the sorting of the cells. When no circulating tumor cells are detected, the solenoid valve 115 is closed and the sample flow enters from the blood sample fluid inlet 116 and the sheath fluid inlet 117 and exits from the waste fluid outlet 113. The control channel of the solenoid valve 115 for controlling the flow direction is connected with the solenoid valve 115, when the solenoid valve 115 works, the waste liquid channel is closed, and the fluid in the channel changes the flow direction. Wherein, the waste liquid outlet 113 is connected with the waste liquid cylinder 13 for collecting waste liquid; the sorted circulating tumor cells in the sorting channel 112 flow to the collector 12 for collection.
In one embodiment of the present invention, referring to fig. 1 and 3, the collector 12 is in communication with the sorting channel 112 via a sorting hose 121, and the waste liquid tank 13 is in communication with the waste liquid outlet 113 via an outflow hose 131.
In one embodiment of the present invention, referring to fig. 1 to 4, the microscopic image acquisition module 20 includes an object stage 21, a microscope objective 22, a light source 23, a camera 24 and a focusing device 25. The objective table 21 is provided with a through hole 211, the microscope objective 22 is disposed below the through hole 211, the light source 23 is disposed above the through hole 211 and opposite to the microscope objective 22, the camera 24 is disposed above the through hole 211, and the focusing device 25 is used for focusing. The through hole 211 is used for accommodating the microfluidic chip 11, and the camera 24 is used for shooting the flowing cell image flowing into the image acquisition area 114 of the microfluidic pipeline in real time.
In this embodiment, the microfluidic chip 11 is placed on the stage 21, and the light source 23 illuminates the cells in the microfluidic channel, and the light source 23 has sufficient intensity to ensure that sufficient image brightness is still obtained when the image acquisition is performed with a very small exposure time (for example, less than 10 μ s or other smaller time, so as to avoid the motion blur problem caused by a long exposure time); selecting a microscope objective lens 22 with a proper multiplying power so as to shoot a cell image in a proper microfluidic pipeline; the focusing device 25 performs focusing to capture clear images of various flowing cells (automatic focusing or manual focusing may be used), and the camera 24 captures images of various flowing cells flowing into the microfluidic chip 11 through the image capturing area 114 in real time.
In one embodiment of the present invention, referring to fig. 1 and 2, the image recognition module 30 is connected to the camera 24 via a transmission line 31 and is used to recognize the flow cell image. In the present embodiment, the flowing cell image captured by the camera 24 in real time is sent to the image recognition module 30 through the transmission line 31, and the image recognition module 30 recognizes the flowing cell image. The image recognition module 30 may adopt an artificial intelligent computing network such as a convolutional neural network model, for example, machine learning or deep learning.
In particular, the detection of CTCs in image recognition module 30 is based on cell morphological identification. Compared with normal blood cells, CTCs have structural, functional and metabolic abnormalities such as large nuclei, deep staining, malformations, high nuclear-plasma ratios, and inconsistent sizes. Prior to detection, a classifier model of CTCs needs to be trained (e.g., a CTC recognition model is trained through deep learning). The training of the model requires a large number of labeled images, but the image acquisition is carried out on the blood sample of an actual tumor patient, 1ml of blood contains only a few or dozens of CTC cells, but contains millions or even tens of millions of blood cells, the acquired images mostly do not contain circulating tumor cells, and a professional doctor can label a few or dozens of circulating tumor cells in millions or tens of millions of blood cells, so the workload is too large to realize. The embodiment of the utility model can realize the marking and training of the circulating tumor cells by adopting the following method: firstly, mixing various cultured cancer cells (such as breast cancer cells, lung cancer cells, liver cancer cells and the like, the number of which can be more than 1 ten thousand or 10 ten thousand) into 1ml of blood of a normal person, acquiring images containing a large number of cancer cells through the microfluidic module 10 and the microscopic image acquisition module 20, and labeling circulating tumor cells by a professional doctor according to the morphological difference between the circulating tumor cells and the blood cells; then, training a circulating tumor cell classification model according to the labeled images; and finally, the peripheral blood of the human body of a cancer patient to be diagnosed passes through the microfluidic module 10 and the microscopic image acquisition module 20 to acquire a series of cell images, the cell images are sent into the trained model to be detected, the judgment threshold is reduced to obtain the cell images of suspected circulating tumors, then a professional doctor is allowed to judge to remove the cell images with wrong classification, the circulating tumor cell images with correct classification are added into a training set, the training is carried out again, and the classification model is continuously updated. Therefore, the accuracy of the classification model is continuously improved finally by continuously enlarging the sample training data set.
In an embodiment of the present invention, referring to fig. 1 to 4, the circulating tumor cell intelligent sorting system further includes a base 40, and the microfluidic module 10, the microscopic image acquisition module 20 and the image recognition module 30 are sequentially disposed on the base 40.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the utility model, and any modifications, equivalents and improvements made within the spirit and principle of the present invention are intended to be included within the scope of the present invention.
Claims (10)
1. The utility model provides a circulating tumor cell intelligence sorting system which characterized in that: the micro-fluidic module is used for enabling peripheral blood of a human body after pretreatment to continuously flow in the micro-fluidic pipeline, the micro-image acquisition module is used for continuously acquiring cell images in the micro-fluidic pipeline, and the image recognition module is used for recognizing the cell images and controlling the flow direction of liquid in the micro-fluidic pipeline so as to screen out circulating tumor cells from blood cells.
2. The intelligent sorting system for circulating tumor cells of claim 1, wherein: the microfluidic module comprises a microfluidic chip with the microfluidic pipeline, an injection assembly which is communicated with the microfluidic pipeline and is used for injecting the pretreated peripheral blood of the human body into the microfluidic pipeline, a collector which is communicated with the microfluidic pipeline and is used for collecting the sorted circulating tumor cells, and a waste liquid cylinder which is communicated with the microfluidic pipeline and is used for collecting waste liquid.
3. The intelligent sorting system for circulating tumor cells of claim 2, wherein: the injection assembly comprises a first injector, a first injection pump and a first injection hose, wherein the first injection pump is connected with the first injector and is used for pumping the pretreated human peripheral blood in the first injector into the microfluidic pipeline, and the first injection hose is used for communicating the first injector with the microfluidic pipeline.
4. The intelligent sorting system for circulating tumor cells of claim 3, wherein: the injection assembly further comprises a second injector arranged in parallel with the first injector, a second injection pump connected with the second injector and used for pumping sheath fluid in the second injector into the microfluidic pipeline, and a second injection hose used for communicating the second injector with the microfluidic pipeline.
5. The intelligent sorting system for circulating tumor cells of claim 3, wherein: micro-fluidic pipeline includes the trunk line, the trunk line have be located the pipeline upper reaches and with the viscoelastic blood sample liquid inlet of first injection hose intercommunication, be located pipeline low reaches and with the sorting channel of collector intercommunication to and be located pipeline low reaches and with the waste liquid export of waste liquid jar intercommunication, still have in the trunk line with the image acquisition region that microscopic image acquisition module corresponds, the pipeline low reaches of trunk line are provided with and are used for control the solenoid valve of the flow direction of the fluid in the trunk line.
6. The intelligent sorting system for circulating tumor cells of claim 4, wherein: micro-fluidic pipeline includes the trunk line, the trunk line have be located the pipeline upper reaches and with the blood sample liquid inlet of first injection hose intercommunication, be located the pipeline upper reaches and with the sheath liquid entry of second injection hose intercommunication, be located pipeline low reaches and with the sorting channel of collector intercommunication to and be located pipeline low reaches and with the waste liquid export of waste liquid jar intercommunication, still have in the trunk line with the image acquisition region that microscopic image acquisition module corresponds, the pipeline low reaches of trunk line are provided with and are used for control the solenoid valve of the flow direction of the fluid in the trunk line.
7. The intelligent sorting system for circulating tumor cells of claim 5 or 6, wherein: the collector with select separately between the passageway through selecting separately the hose intercommunication, the waste liquid jar with through outflow hose intercommunication between the waste liquid export.
8. The intelligent sorting system for circulating tumor cells of claim 2, wherein: the microscopic image acquisition module comprises an object stage provided with a through hole, a microscopic objective arranged below the through hole, a light source arranged above the through hole, a camera arranged above the through hole and a focusing device for focusing, wherein the through hole is used for accommodating the microfluidic chip, and the camera is used for shooting images of flowing cells flowing into the microfluidic pipeline in real time.
9. The intelligent sorting system for circulating tumor cells of claim 8, wherein: the image recognition module is connected with the camera through a transmission line and is used for recognizing the flowing cell image.
10. The intelligent sorting system for circulating tumor cells of claim 5 or 6, wherein: the image recognition module is electrically connected with the electromagnetic valve and is used for controlling the electromagnetic valve to be opened or closed.
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