CN112098277A - Method for detecting type and activity of high-concentration microparticles based on three-wavelength lens-free holographic imaging - Google Patents
Method for detecting type and activity of high-concentration microparticles based on three-wavelength lens-free holographic imaging Download PDFInfo
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Abstract
The invention provides a method for detecting the type and activity of high-concentration microparticles based on three-wavelength lens-free holographic imaging, which comprises the following steps: s1, acquiring a holographic image of the sample to be detected based on the three-wavelength lens-free holographic imaging device; recovering the three-dimensional shape and analyzing the characteristics of the holographic image to obtain the three-dimensional shape of the sample to be detected; s2, processing the obtained three-dimensional morphology of the sample to be detected by adopting a three-wavelength iterative algorithm to obtain the accurate three-dimensional morphology of the sample to be detected; s3, defining a sample area to be detected by adopting a gray value-based method, calculating the gray value of each pixel point in the image, obtaining the length and width information of the sample to be detected according to the gray value of each pixel point, and realizing the activity detection of the high-concentration microparticles; and S4, identifying and classifying the high-concentration microparticle image processed by the three-wavelength iterative algorithm by using a classifier, and performing morphological processing on the classified high-concentration microparticle by using a threshold segmentation method to realize counting of the high-concentration microparticle.
Description
Technical Field
The invention relates to the technical field of detection and counting of high-concentration microparticles, in particular to a method for detecting the type and activity of high-concentration microparticles based on three-wavelength lensless holographic imaging.
Background
The micro-particles are widely present in natural environments and medical fields, such as marine micro-plastics, microalgae cells in ship ballast water and cancer cells in the medical field, once a large amount of the micro-plastics are present in the sea, the original ecological balance of the sea is destroyed, and even the micro-plastics threaten the life health of other organisms and human bodies in the sea, once the microalgae cells in the ship ballast water are discharged into the sea, the micro-algae cells have extremely strong environmental adaptation capability and cover the surface of a water body to cause the phenomenon that fishes in the sea die due to oxygen deficiency, and the cancer cells in the medical field damage the life health of human bodies, so that the detection of the micro-particles has important significance for the natural environments and the medical field.
With the increasing living conditions of people, plastics exist in various aspects of human life, such as plastic bags for containing articles, and a large amount of cosmetics also have micro plastics, so the micro plastics affect various aspects of human life, plastic products mainly comprise polyethylene, polystyrene and the like, the plastics cannot be completely degraded, the micro plastics flow into the ocean after long-term accumulation, the ecological environment of the ocean is seriously damaged due to the fact that the micro plastics are small in size, part of the micro plastics are even in the micron level, and the micro plastics cannot be treated by a sewage treatment system, if fish schools eat the micro plastics, not only the fish die, but also organisms of various food chains are killed once the micro plastics are eaten by the upper food chains, the balance of the original food chains is damaged, and the top ends of the food chains are human beings, once the micro plastics are put into the human bodies, the method can seriously harm the life health of human beings, at present, the related problems generated by the micro-plastic are paid attention to a certain degree, the detection of the micro-plastic is very important to the ecological balance of the sea and the life health of human bodies, so that the detection of whether the micro-plastic is contained in the sewage discharged to the sea is necessary, and at present, a detection device and a method which are accurate in measurement, simple and portable are required to be developed.
With the increasing internationalization of economic development, the ship transportation is rapidly developed as a communication and trade transportation mode in various regions of the world, and the ship ballast water plays a crucial role in ensuring normal navigation. Ship ballast water refers to water and suspended matter added to a ship during transportation to control ship heeling, trim, draft, stability or stress. When ballast water is loaded on a ship, various microorganisms such as plankton, bacteria and algae cells can be loaded on the ship along with the ballast water and spread to all over the world, the ballast water is discharged after the ballast water reaches a destination, harmful microorganisms carried in the ballast water of the ship can be discharged in local oceans if the discharged ballast water is not detected and treated, the harmful microorganisms can rapidly spread, and therefore the local sea ecosystem is damaged, for example, harmful algae can be bred in a large area to cause death of other animals and plants, and the diversity of local species is influenced; viral random transmission endangers the health of humans. Ship ballast water is considered to be one of the main carriers for the global transfer of harmful aquatic organisms and pathogens. Ballast water is transferred with ships on a large scale every year, and since ballast water may carry harmful microorganisms, mainly including bacteria, harmful algae and other microorganisms, if discharged at all, it may cause damage to the ecosystem, socioeconomic and public health of the area. The transfer of foreign microorganisms to the local sea area is considered a great hazard. Thus, regulations relating to the concentration of plankton in discharged ballast water have been made, and it has been required that ballast water treatment is required for all ships up to 2016, and the mechanism is intended to protect the marine environment from ballast water. As the microalgae occupies a large proportion in the ship ballast water and has strong adaptability to the environment, once harmful algae are discharged into the local sea along with the ballast water, the algae can be propagated in a large area, so that other aquatic organisms cannot normally live, red tide and water bloom are caused, and the detection of the microalgae in the ship ballast water is very important. At present, the maritime law enforcement department in China cannot detect the microalgae in the ship ballast water quickly and accurately, so that the research on the detection of the microalgae is urgent.
In the medical field, the influence of various diseases on human life health is not negligible, wherein cancer is one of the main diseases threatening human health, cancer cells are widely present in the medical field, the human body detects that cancer indicates that cancer cells exist in the human body, the cancer cells exist in the blood of the human body, and are mutated from normal cells, the cancer cells have three characteristics, respectively, can proliferate indefinitely, are easy to transform, and can realize metastasis, which is also different from normal cells of the human body, carcinogenic factors of the normal cells can cause the mutation of protooncogenes or cancer suppressor genes in the human body due to external factors such as physical, chemical, virus, and the like, and are transformed into cancer cells, the cancer cells can invade into the blood of the normal cells or peripheral lymphatic system and then are transferred to other places of the body, because the propagation speed of the cancer cells is extremely fast, and the demand for proteins is also increased, so that cancer tissues will take away the protein decomposition products required by normal tissues for the cancer tissues themselves, and as a result, the cancer patients can be in a state of severe protein consumption, and normal cells cannot absorb enough nutrients, thereby causing a situation of losing their lives. The number of normal cells in a body is relatively reduced due to the influence of cancer cells, so that more cancer cells are transferred to each tissue in the body, once the cancer cells spread to the whole body, the cancer has already developed to a late stage, the current medical field has a corresponding treatment scheme and ideal treatment effect for early stage cancer, but has no complete treatment scheme for late stage cancer treatment, so that once the cancer develops to the late stage, the life health of a human body is greatly threatened, and if the cancer cells can be detected as early as possible, the best result can be obtained for the life health of the human body, so that the detection of the cancer cells has great significance in the medical field.
In summary, the microparticles are ubiquitous in natural environments and medical fields, so the detection of microparticles is particularly important for the ecological balance of the ocean, the life health of human bodies and the medical field.
At present, the detection method of the micro-plastic comprises a microscopic observation method, a Fourier transform-infrared spectroscopy analysis method, a Raman spectroscopy method, a scanning electron microscope, an energy spectrometer method and the like; the microalgae cell detection method mainly comprises an optical microscopy method, a fluorescence microscopy method, a flow cytometry counting method, a coulter counting method, an image analysis method, a molecular and biochemical method and the like; methods for cancer cell detection include X-ray examination, percutaneous lung biopsy, PET-CT, and the like. At present, methods for detecting marine micro-plastics, microalgae cells in ship ballast water and cancer cells are various, but the traditional detection equipment is complicated in steps, large in size and expensive, is easily influenced by subjective judgment, needs researchers to have high professional knowledge and abundant practical experience, cannot be brought to the site for rapid detection due to large size, cannot meet market requirements at present, and is not suitable for rapid detection on the site. Therefore, the portable and accurate detection and counting of the types and activities of the high-concentration microparticles are the focus of the current research.
Disclosure of Invention
In view of the above-mentioned problems, a method for detecting the type and activity of high-concentration microparticles by three-wavelength lensless holographic imaging is provided. The invention can realize the detection and counting of the variety and activity of various high-concentration microparticles such as micro-plastics, microalgae cells, cancer cells and the like, and can also realize the on-site rapid detection and counting of the high-concentration microparticles, and has the advantages of simple operation process, wide application range, low cost and stable identification index.
The technical means adopted by the invention are as follows:
a kind and activity detection method of high-concentration microparticles based on three-wavelength lens-free holographic imaging comprises the following steps:
s1, acquiring a holographic image of the sample to be detected based on the three-wavelength lens-free holographic imaging device; recovering the three-dimensional shape and analyzing the characteristics of the holographic image to obtain the three-dimensional shape of the sample to be detected;
s2, processing the obtained three-dimensional morphology of the sample to be detected by adopting a three-wavelength iterative algorithm to obtain the accurate three-dimensional morphology of the sample to be detected;
s3, based on the accurate three-dimensional shape of the sample to be detected, a gray value-based method is adopted to define the area of the sample to be detected, the gray value of each pixel point in the image is calculated, the length and width information of the sample to be detected is obtained according to the gray value information of each pixel point, and the activity detection of the high-concentration microparticles is realized;
and S4, identifying and classifying the high-concentration microparticle image processed by the three-wavelength iterative algorithm by using a classifier, and performing morphological processing on the classified high-concentration microparticle by using a threshold segmentation method to realize counting of the high-concentration microparticle.
Further, the three-wavelength lens-free holographic imaging device in the step S1 includes: the device comprises a light source driving component, a light source, a micropore component, a light propagation component, a sample stage component, an image acquisition component and an image processing component which are connected in sequence;
the light source driving assembly controls the light source to respectively emit red light, green light and blue light, the light penetrates through the micropore assembly to disperse partial coherent light into spherical waves, the spherical waves are transmitted for a distance through the light transmission assembly and reach the sample stage assembly, transmitted light of an object is used as reference light waves, scattered light is used as object light waves, the reference light waves and the object light waves are mutually interfered to form a holographic image in the image acquisition assembly, the image processing assembly performs three-dimensional shape recovery and characteristic analysis on the holographic image, and high-concentration microparticles are detected and counted.
Further, the light source driving assembly is a 51 single chip microcomputer, the light source is an LED light source, the sample stage assembly comprises a polydimethylsiloxane sheet and a glass slide, a detection area is formed in the polydimethylsiloxane sheet in a concave mode, sample grooves and waste liquid grooves are symmetrically connected to two ends of the detection area, the image acquisition assembly is a COMS image sensor, and the image processing assembly is a PC.
Further, in the step S2, a three-wavelength iterative algorithm is used to process the obtained three-dimensional topography of the sample to be measured, including weakening a conjugate image in a reproduced image, which specifically includes:
s21, setting the red light wavelength as lambda1With green wavelength set to λ2With blue light wavelength set to λ3The complex amplitude of the recording surface under red light is set at lambda1Carrying out numerical simulation and transmitting to a sample plane;
s22, multiplying the phase by the original phase1/λ2Amplitude of vibrationThe change is not changed;
s23, updating the wavefront of the plane wave of the sample at lambda2Back propagating to the CMOS image sensor plane;
s24, replacing the amplitude with the amplitude of the holographic image in green light;
s25, making the complex amplitude of the recording surface under blue light at lambda3Carrying out numerical simulation and transmitting to a sample plane;
s26, multiplying the phase by the original phase3/λ2The amplitude is unchanged;
s27, updating the wavefront of the plane wave of the sample at lambda3Back propagating to the CMOS image sensor plane;
s28, replacing the amplitude with the amplitude of the holographic image under the blue light;
s29, making the complex amplitude of the recording surface under blue light at lambda2Carrying out numerical simulation and transmitting to a sample plane;
s30, multiplying the phase by the original phase2/λ1The amplitude is unchanged;
s31, updating the wavefront of the plane wave of the sample at lambda1Back propagating to the CMOS image sensor plane;
s32, replacing the amplitude with the amplitude of the holographic image under red light;
s33, repeating the steps S21-S33 until reaching the convergence state.
Further, in the step S3, the step of dividing the region of the sample to be tested by using a gray value-based method includes dividing the region of the sample to be tested according to the gray value difference between the sample to be tested and other regions.
Compared with the prior art, the invention has the following advantages:
1. the method for detecting the variety and activity of the high-concentration microparticles based on three-wavelength lens-free holographic imaging can realize the detection and counting of the variety and activity of the high-concentration microparticles such as micro-plastics, microalgae cells and cancer cells, can also realize the on-site rapid detection and counting of the activity of the high-concentration microparticles, and has the advantages of simple operation process, wide application range, low cost and stable identification index.
2. According to the method for detecting the type and activity of the high-concentration microparticles based on three-wavelength lens-free holographic imaging, the type of the high-concentration microparticles is detected by adopting a classifier method, and compared with the original method for directly matching the microparticles according to cell length, width and thickness information, the method can classify the cells of the same type with different sizes in different periods, and improves the accuracy of the final classification result.
3. The method for detecting the type and activity of the high-concentration microparticles based on the three-wavelength lens-free holographic imaging, provided by the invention, is used for defining the area of a sample to be detected based on a gray value method, and calculating and dividing the gray value of each pixel point in the area according to the rule that the difference between the gray value of the sample to be detected and the gray value of other areas is larger, so that the length and width information of the sample to be detected can be more accurately obtained according to the gray value information of the pixel points.
4. The three-wavelength lens-free holographic imaging device is suitable for rapid field detection and has the advantages of low price, light weight and small volume.
5. Compared with other holographic three-dimensional morphology technologies, the method for detecting the variety and activity of the high-concentration microparticles based on three-wavelength lens-free holographic imaging does not need a unwrapping step when the three-dimensional morphology is restored, greatly simplifies the data processing step and saves time.
Based on the reasons, the invention can be widely popularized in the fields of detection and counting of high-concentration microparticles and the like.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without creative efforts.
FIG. 1 is a flow chart of the method of the present invention.
FIG. 2 is a schematic structural diagram of a three-wavelength lensless holographic imaging device of the present invention.
FIG. 3 is a schematic diagram of a sample stage assembly of the three-wavelength lensless holographic imaging apparatus of the present invention.
In the figure: 1. a light source driving assembly; 2. a light source assembly; 3. a microporous component; 4. a light propagating assembly; 5. a sample stage assembly; 6. an image acquisition component; 7. an image processing assembly, 8, a polydimethylsiloxane sheet; 9. a glass slide; 10. a sample tank; 11. detecting a region; 12. a waste liquid tank.
Detailed Description
It should be noted that the embodiments and features of the embodiments may be combined with each other without conflict. The present invention will be described in detail below with reference to the embodiments with reference to the attached drawings.
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, 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 it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. The following description of at least one exemplary embodiment is merely illustrative in nature and is in no way intended to limit the invention, its application, or uses. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It is noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of exemplary embodiments according to the invention. As used herein, the singular forms "a", "an" and "the" are intended to include the plural forms as well, and it should be understood that when the terms "comprises" and/or "comprising" are used in this specification, they specify the presence of stated features, steps, operations, devices, components, and/or combinations thereof, unless the context clearly indicates otherwise.
The relative arrangement of the components and steps, the numerical expressions and numerical values set forth in these embodiments do not limit the scope of the present invention unless specifically stated otherwise. Meanwhile, it should be understood that the sizes of the respective portions shown in the drawings are not drawn in an actual proportional relationship for the convenience of description. Techniques, methods, and apparatus known to those of ordinary skill in the relevant art may not be discussed in detail but are intended to be part of the specification where appropriate. Any specific values in all examples shown and discussed herein are to be construed as exemplary only and not as limiting. Thus, other examples of the exemplary embodiments may have different values. It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, further discussion thereof is not required in subsequent figures.
In the description of the present invention, it is to be understood that the orientation or positional relationship indicated by the directional terms such as "front, rear, upper, lower, left, right", "lateral, vertical, horizontal" and "top, bottom", etc., are generally based on the orientation or positional relationship shown in the drawings, and are used for convenience of description and simplicity of description only, and in the absence of any contrary indication, these directional terms are not intended to indicate and imply that the device or element so referred to must have a particular orientation or be constructed and operated in a particular orientation, and therefore should not be considered as limiting the scope of the present invention: the terms "inner and outer" refer to the inner and outer relative to the profile of the respective component itself.
Spatially relative terms, such as "above … …," "above … …," "above … …," "above," and the like, may be used herein for ease of description to describe one device or feature's spatial relationship to another device or feature as illustrated in the figures. It will be understood that the spatially relative terms are intended to encompass different orientations of the device in use or operation in addition to the orientation depicted in the figures. For example, if a device in the figures is turned over, devices described as "above" or "on" other devices or configurations would then be oriented "below" or "under" the other devices or configurations. Thus, the exemplary term "above … …" can include both an orientation of "above … …" and "below … …". The device may be otherwise variously oriented (rotated 90 degrees or at other orientations) and the spatially relative descriptors used herein interpreted accordingly.
It should be noted that the terms "first", "second", and the like are used to define the components, and are only used for convenience of distinguishing the corresponding components, and the terms have no special meanings unless otherwise stated, and therefore, the scope of the present invention should not be construed as being limited.
As shown in fig. 1, the present invention provides a method for detecting the type and activity of high-concentration microparticles based on three-wavelength lens-free holographic imaging, comprising the following steps:
s1, acquiring a holographic image of the sample to be detected based on the three-wavelength lens-free holographic imaging device; recovering the three-dimensional shape and analyzing the characteristics of the holographic image to obtain the three-dimensional shape of the sample to be detected;
as shown in fig. 2, the three-wavelength lensless holographic imaging device includes: the device comprises a light source driving component 1, a light source 2, a micropore component 3, a light transmission component 4, a sample stage component 5, an image acquisition component 6 and an image processing component 7 which are connected in sequence; the light source driving assembly 1 controls the light source 2 to respectively emit red light, green light and blue light, the light source 2 penetrates through the micropore assembly 3 to disperse partial coherent light into spherical waves, the spherical waves are transmitted to the sample stage assembly 5 through the light transmission assembly 4 for a distance without independently introducing reference light waves, the transmitted light of an object is used as reference light waves, scattered light is used as object light waves, the reference light waves and the object light waves are mutually interfered to form a holographic image in the image acquisition assembly 6, the image processing assembly 7 is used for recovering the three-dimensional morphology and analyzing the characteristics of the holographic image, and high-concentration microparticles are detected and counted. During specific implementation, preferably, the light source driving component 1 is a 51-chip microcomputer, the light source 2 is an LED light source, the 51-chip microcomputer controls on and off of the LED light source, and red light, green light and blue light are respectively turned on through keys. The sample stage assembly 5 comprises a polydimethylsiloxane sheet 8 and a glass slide 9, a detection area 11 is concavely engraved on the polydimethylsiloxane sheet 8, two ends of the detection area 11 are symmetrically connected with a sample groove 10 and a waste liquid groove 12, the image acquisition assembly 6 is a COMS image sensor, and the image processing assembly 7 is a PC.
S2, processing the obtained three-dimensional morphology of the sample to be detected by adopting a three-wavelength iterative algorithm to obtain the accurate three-dimensional morphology of the sample to be detected;
in the step S2, the three-wavelength iterative algorithm is used to process the obtained three-dimensional topography of the sample to be measured, including weakening a conjugate image in a reproduced image, the phase obtained by the method does not need to be unwrapped, and length and width information of the sample to be measured can be obtained, which specifically includes:
s21, setting the red light wavelength as lambda1With green wavelength set to λ2With blue light wavelength set to λ3The complex amplitude of the recording surface under red light is set at lambda1Carrying out numerical simulation and transmitting to a sample plane;
s22, multiplying the phase by the original phase1/λ2The amplitude is unchanged;
s23, updating the wavefront of the plane wave of the sample at lambda2Back propagating to the CMOS image sensor plane;
s24, replacing the amplitude with the amplitude of the holographic image in green light;
s25, making the complex amplitude of the recording surface under blue light at lambda3Carrying out numerical simulation and transmitting to a sample plane;
s26, multiplying the phase by the original phase3/λ2The amplitude is unchanged;
s27, updating the wavefront of the plane wave of the sample at lambda3Back propagating to the CMOS image sensor plane;
s28, replacing the amplitude with the amplitude of the holographic image under the blue light;
s29, making the complex amplitude of the recording surface under blue light at lambda2Carrying out numerical simulation and transmitting to a sample plane;
s30, multiplying the phase by the original phase2/λ1The amplitude is unchanged;
s31, updating the wavefront of the plane wave of the sample at lambda1Back propagating to the CMOS image sensor plane;
s32, replacing the amplitude with the amplitude of the holographic image under red light;
s33, repeating the steps S21-S33 until reaching the convergence state.
S3, based on the accurate three-dimensional shape of the sample to be detected, a gray value-based method is adopted to define the area of the sample to be detected, the gray value of each pixel point in the image is calculated, the length and width information of the sample to be detected is obtained according to the gray value of each pixel point, and the activity detection of the high-concentration microparticles is realized;
in the step S3, the area of the sample to be tested is defined by using a gray value-based method, including dividing the area of the sample to be tested according to the difference between the gray values of the sample to be tested and other areas.
And S4, identifying and classifying the high-concentration microparticle image processed by the three-wavelength iterative algorithm by using a classifier, and performing morphological processing on the classified high-concentration microparticle by using a threshold segmentation method to realize counting of the high-concentration microparticle.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present invention.
Claims (5)
1. A kind and activity detection method of high-concentration microparticles based on three-wavelength lens-free holographic imaging is characterized by comprising the following steps:
s1, acquiring a holographic image of the sample to be detected based on the three-wavelength lens-free holographic imaging device; recovering the three-dimensional shape and analyzing the characteristics of the holographic image to obtain the three-dimensional shape of the sample to be detected;
s2, processing the obtained three-dimensional morphology of the sample to be detected by adopting a three-wavelength iterative algorithm to obtain the accurate three-dimensional morphology of the sample to be detected;
s3, based on the accurate three-dimensional shape of the sample to be detected, a gray value-based method is adopted to define the area of the sample to be detected, the gray value of each pixel point in the image is calculated, the length and width information of the sample to be detected is obtained according to the gray value of each pixel point, and the activity detection of the high-concentration microparticles is realized;
and S4, identifying and classifying the high-concentration microparticle image processed by the three-wavelength iterative algorithm by using a classifier, and performing morphological processing on the classified high-concentration microparticle by using a threshold segmentation method to realize counting of the high-concentration microparticle.
2. The method for detecting the type and activity of the high-concentration microparticles based on three-wavelength lens-free holographic imaging according to claim 1, wherein the three-wavelength lens-free holographic imaging apparatus in step S1 comprises: the device comprises a light source driving component, a light source, a micropore component, a light propagation component, a sample stage component, an image acquisition component and an image processing component which are connected in sequence;
the light source driving assembly controls the light source to respectively emit red light, green light and blue light, the light penetrates through the micropore assembly to disperse partial coherent light into spherical waves, the spherical waves are transmitted to the sample stage assembly through the light transmission assembly for a distance, transmitted light of an object is used as reference light waves, scattered light is used as object light waves, the reference light waves and the object light waves are mutually interfered to form a holographic image in the image acquisition assembly, the image processing assembly performs three-dimensional shape recovery and characteristic analysis on the holographic image, and detects high-concentration microparticles and performs type and activity detection on the high-concentration microparticles.
3. The method for detecting the type and activity of the high-concentration microparticles based on the three-wavelength lens-free holographic imaging, as claimed in claim 2, wherein the light source driving component is a 51-chip microcomputer, the light source is an LED light source, the sample stage component comprises a polydimethylsiloxane sheet and a glass slide, a detection region is engraved in the polydimethylsiloxane sheet, two ends of the detection region are symmetrically connected with a sample slot and a waste liquid slot, the image acquisition component is a cmos image sensor, and the image processing component is a PC.
4. The method for detecting the types and activities of the high-concentration micro-particles based on the three-wavelength lens-free holographic imaging of claim 1, wherein the step S2 is performed by using a three-wavelength iterative algorithm to process the three-dimensional morphology of the obtained sample to be detected, and the three-wavelength iterative algorithm includes weakening a conjugate image in a reconstructed image, and specifically includes:
s21, setting the red light wavelength as lambda1With green wavelength set to λ2With blue light wavelength set to λ3The complex amplitude of the recording surface under red light is set at lambda1Carrying out numerical simulation and transmitting to a sample plane;
s22, multiplying the phase by the original phase1/λ2The amplitude is unchanged;
s23, updating the wavefront of the plane wave of the sample at lambda2Back propagating to the CMOS image sensor plane;
s24, replacing the amplitude with the amplitude of the holographic image in green light;
s25, making the complex amplitude of the recording surface under blue light at lambda3Carrying out numerical simulation and transmitting to a sample plane;
s26, multiplying the phase by the original phase3/λ2The amplitude is unchanged;
s27, updating the wavefront of the plane wave of the sample at lambda3Back propagating to the CMOS image sensor plane;
s28, replacing the amplitude with the amplitude of the holographic image under the blue light;
s29, making the complex amplitude of the recording surface under blue light at lambda2Carrying out numerical simulation and transmitting to a sample plane;
s30, multiplying the phase by the original phase2/λ1The amplitude is unchanged;
s31, updating the wavefront of the plane wave of the sample at lambda1Lateral CMOS imageSensor plane back propagation;
s32, replacing the amplitude with the amplitude of the holographic image under red light;
s33, repeating the steps S21-S33 until reaching the convergence state.
5. The method for detecting the types and activities of the high-concentration micro-particles based on three-wavelength lens-free holographic imaging of claim 1, wherein the step S3 of defining the sample area to be tested by using a gray-scale value-based method comprises defining the sample area to be tested according to the gray-scale value difference between the sample to be tested and other areas.
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