CN111157616A - Detection platform integrating acoustic surface standing wave cell sorting and lensless imaging - Google Patents
Detection platform integrating acoustic surface standing wave cell sorting and lensless imaging Download PDFInfo
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- CN111157616A CN111157616A CN202010070570.3A CN202010070570A CN111157616A CN 111157616 A CN111157616 A CN 111157616A CN 202010070570 A CN202010070570 A CN 202010070570A CN 111157616 A CN111157616 A CN 111157616A
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- 238000001514 detection method Methods 0.000 title claims abstract description 17
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- 235000013870 dimethyl polysiloxane Nutrition 0.000 claims description 5
- CXQXSVUQTKDNFP-UHFFFAOYSA-N octamethyltrisiloxane Chemical compound C[Si](C)(C)O[Si](C)(C)O[Si](C)(C)C CXQXSVUQTKDNFP-UHFFFAOYSA-N 0.000 claims description 5
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N29/00—Investigating or analysing materials by the use of ultrasonic, sonic or infrasonic waves; Visualisation of the interior of objects by transmitting ultrasonic or sonic waves through the object
- G01N29/02—Analysing fluids
- G01N29/022—Fluid sensors based on microsensors, e.g. quartz crystal-microbalance [QCM], surface acoustic wave [SAW] devices, tuning forks, cantilevers, flexural plate wave [FPW] devices
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/84—Systems specially adapted for particular applications
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- General Health & Medical Sciences (AREA)
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Abstract
A detection platform integrating acoustic surface standing wave cell sorting and lens-free imaging comprises an SSAW sorting unit and a lens-free imaging unit; the SSAW sorting unit comprises a pair of interdigital transducers and a microfluidic pipeline, wherein the interdigital transducers are processed and formed on a double-sided polished lithium niobate substrate, and the microfluidic pipeline is directly bonded between the interdigital transducers on the lithium niobate substrate; the lens-free imaging unit comprises an image acquisition unit and a data processing unit, the manufactured sorting device is directly attached to a pixel array surface of the image acquisition unit, and the image acquisition unit captures a shadow image of cells in the microfluidic pipeline, converts the shadow image into a digital signal and then transmits the digital signal to the data processing unit; and the data processing unit is used for analyzing the received image and quickly and automatically acquiring the cell sorting result. The invention does not use an optical lens, images the cells or particles with micron-sized dimensions, has small imaging structure volume, low cost and automatic data analysis, and can be applied to the application of on-site instant diagnosis.
Description
Technical Field
The invention relates to the technical field of microfluidic analysis, in particular to a detection platform integrating acoustic surface standing wave cell sorting and lensless imaging.
Background
In recent years, laboratory-on-chip technologies based on microfluidic chips have achieved many research results, such as cell culture, sorting, lysis, solution sample preparation, reaction, separation, detection, and the like. The method has the advantages of small reagent demand, closed operation, low system price and the like, and has great application potential in the fields of research of future biomedicine and on-site rapid detection (POC).
Optical tweezers, electrophoresis, magnetophoresis and acoustophoresis are commonly used for sorting and detecting particles in microfluidic. Optical tweezers have been successful in the medical field, however their complex focusing optical path and control system results in complex operation and expensive price. Both electrophoresis and magnetophoresis require that the sample has specific physical properties, electrical or magnetic, and therefore can only be adapted to a specific sample. Acoustophoresis, which relies on sound waves as a medium for energy transfer, has no special physical properties on samples and is suitable for most samples. The surface acoustic wave in acoustophoresis can be used for manufacturing an interdigital transducer (IDT) through MEMS, and has a simple and compact structure and high electromechanical conversion efficiency.
In data processing, the amplification of tiny samples is an indispensable step. The traditional method uses an optical microscope, which has superior performance, but uses an optical lens and a huge optical path system to limit the wide distribution of the optical lens. Imaging on the micron scale has been achieved with lensless imaging techniques, such as activity detection of yeast cells, leukocyte recognition analysis, and the like. Compared with an optical microscope, the lens-free imaging system not only has a large visual field and high automation, but also has no expensive optical lens and large volume, and is suitable for wide distribution.
Disclosure of Invention
The invention aims to provide a detection platform integrating acoustic surface standing wave cell sorting and lens-free imaging. The separation of particles with different sizes is realized by combining the acoustic surface standing wave with the microfluidic pipeline, then a lens-free imaging system is used for capturing a real-time image at the watershed position of the outlet of the microfluidic pipeline, and finally the separation efficiency of the particles is obtained by using an image processing technology.
A detection platform integrating acoustic surface standing wave cell sorting and lens-free imaging comprises an SSAW sorting unit and a lens-free imaging unit; the SSAW sorting unit comprises a pair of interdigital transducers and a sheath flow focusing module, wherein the interdigital transducers and the sheath flow focusing module are processed and formed on a double-sided polished lithium niobate substrate, the sheath flow focusing module is a microfluidic pipeline, and the microfluidic pipeline is directly bonded between the interdigital transducers on the lithium niobate substrate; the lens-free imaging unit comprises an image acquisition unit and a data processing unit, the SSAW sorting unit is directly attached to a pixel array surface of the image acquisition unit, and the image acquisition unit captures a shadow image of cells in the microfluidic pipeline, converts the shadow image into a digital signal and then transmits the digital signal to the data processing unit; and the data processing unit is used for analyzing the received image and quickly and automatically acquiring the cell sorting result.
Furthermore, the microfluidic pipeline is a PDMS pipeline with a pipeline groove characteristic, and an included angle of 5-15 degrees is formed between the microfluidic pipeline and the interdigital transducer.
Furthermore, the microfluidic pipeline has a structure with three inputs and two outputs, wherein the inputs on two sides are sheath flows, namely a first sheath flow and a second sheath flow, and the sample flow is arranged in the middle.
Further, the microfluidic channel has a laminar flow characteristic, and the first sheath flow and the second sheath flow focus the sample flow near the middle of the channel.
Further, the cross-sectional ratio of the three inlets at the confluence point is first sheath flow to sample flow to second sheath flow =1:1: 2; the two outlets are respectively a waste liquid outlet and a collection outlet, and the section ratio of the collection outlet to the waste liquid outlet is 1:3 at the output watershed.
Further, the interdigital transducer has 27 pairs of interdigital, the metal ratio is 0.5, the interdigital width is 50 μm, the interdigital aperture is 7mm, one end near the PAD is added with 6 reflecting grids, and the interval between the two interdigital transducers is 4950 um.
Further, the microfluidic pipeline and the lithium niobate substrate are bonded after being cleaned by oxygen plasma.
Furthermore, the image acquisition unit comprises an image sensor, and the image sensor corresponds to the outlet of the microfluidic pipeline.
Further, SSAW selects separately the unit and does not have and is equipped with heat dissipation mechanism between the lens imaging unit, heat radiation structure includes heat conduction aluminum plate, on the lithium niobate base passes through heat conduction silicone grease laminating to heat conduction aluminum plate, heat conduction aluminum plate rethread heat conduction silicone grease is connected with the radiating groove of platform below.
In contrast to conventional optical lens imaging analysis, lensless imaging, while not using an optical lens, still enables imaging of micron-sized cells or particles. Therefore, the whole imaging structure has the advantages of small volume, low cost and capability of automatically analyzing data, and can be applied to the field point-of-care diagnosis (POCT).
Drawings
FIG. 1 is a schematic perspective view of an inspection platform according to the present invention;
FIG. 2 is a schematic side view of the inspection platform of the present invention;
FIG. 3 is a schematic plan view of the SSAW sorting unit of the present invention;
FIG. 4 is a schematic perspective view of the SSAW sorting unit of the present invention;
FIG. 5 is a schematic side view of the SSAW sorting unit of the present invention;
FIG. 6 is a functional block diagram of a test system;
FIG. 7 is an image captured by a lensless imaging system;
FIG. 8 is a microscope capture image;
FIG. 9 is the shape of the shadow of 5 μm and 15 μm particles after morphological treatment;
wherein: a 1-interdigital transducer; 2-a microfluidic conduit; 3-a waste liquid outlet; 4-a collection outlet; 5-a lithium niobate substrate; 6-PDMS material; 7-second sheath flow; 8-sample flow; 9-primary sheath flow; 10-a thermally conductive aluminum plate; 11-terminal switching PCB; 12-an image sensor; 13-heat sink; 14-a data conversion unit; 15-RF signal interface; 16-a first window; 17-image acquisition unit.
Detailed Description
The technical scheme of the invention is further explained by combining the drawings in the specification.
As shown in fig. 1 to 2, the detection platform integrating the acoustic surface standing wave cell sorting and the lensless imaging comprises an SSAW sorting unit, a heat dissipation structure and a lensless imaging unit, wherein the SSAW sorting unit comprises a sheath flow focusing module and an interdigital transducer 1; the lens-less imaging unit includes an image pickup unit 17 and a data conversion unit 14, and the image pickup unit 17 has an image sensor 12 mounted thereon.
The SSAW sorting unit, the heat dissipation structure and the lens-free imaging circuit are assembled in a sandwich mode, as shown in fig. 1 and fig. 2, the SSAW sorting unit is located above, the heat dissipation structure is located in the middle, and the lens-free imaging unit is located below, and the SSAW sorting unit, the heat dissipation structure and the lens-free imaging circuit are fixed through bolts and nuts.
As shown in fig. 1 to 5, the sheath flow focusing module is a three-input two-output microfluidic channel 2 on a PDMS material 6, the height of the microfluidic channel 2 is 80 μm, the width of the channel is 800 μm, and the channel has 3 inputs and 2 outputs, as shown in fig. 1. The three inlets are flanked by the primary sheath flow 9 and the secondary sheath flow 7, and the central inlet is the sample flow 8. The ratio of the cross-sections of the three inlets at the junction point is primary sheath flow 9: sample flow 8: secondary sheath flow 7=1:1: 2. The two outlets are respectively a waste liquid outlet 3 and a collection outlet 4, and the section ratio of the collection outlet 4 to the waste liquid outlet 3 is 1:3 at the output watershed. The secondary sheath flow 7 is on the same side as the collecting outlet 4. The fluid in the pipeline can be calculated to be laminar flow through the Reynolds number, the streamline of the sample flow 8 can be bound between the two sheath flows, and therefore the influence of adhesion of the liquid and the wall on the sample flow trajectory can be effectively reduced, so that under the condition of no external force interference, if the input flow rate is the first sheath flow 9, the sample flow 8, the second sheath flow 7=1:1:2, the minimum lateral displacement distance from the sample solution to the collection outlet 4 is 200 μm, and through the proportion of the two outlet interfaces, all samples flow out of the waste liquid outlet 3 under the condition of no external force interference, and the separation purity is improved.
The interdigital transducer 1 is two identical interdigital transducers 1 manufactured on a 128-degree Y-X lithium niobate substrate 5 by a micro electro mechanical manufacturing process, each interdigital transducer 1 is provided with 27 pairs of interdigital, the metal ratio is 0.5, the interdigital width is 50 mu m, the interdigital aperture is 7mm, and one end close to a PAD is added with 6 reflecting grids. The spacing between the two interdigital transducers is 4950 um.
An RF signal is added to the PAD of the interdigital transducer 1, and the RF signal is applied to the PAD through an RF signal interface 15 on the terminal relay PCB 11, and a surface acoustic wave is excited by an inverse piezoelectric effect. The elastic waves excited by two interdigital transducers (IDT) are reversely propagated and superposed to form a standing wave field. The acoustic energy in the standing wave field enters the liquid through Rayleigh angle refraction and forms scattering on the surface of the particles, and then acoustic radiation force is formed. The larger the volume of the spherical particles, the greater the acoustic radiation force. The lateral displacement of the particles with large volume is larger than that of the particles with small volume in the same time, so that the particle sorting is realized.
The PDMS microfluidic pipeline 2 and the lithium niobate substrate 1 with the interdigital transducer (IDT) are subjected to pipeline bonding, the PDMS microfluidic pipeline 1 and the lithium niobate substrate 1 with the IDT are put into oxygen plasma treatment (O2 plasma Cleaner) for treatment, the treated surfaces are attached together, and the included angle between the microfluidic pipeline 2 and the IDT 1 is set to be 5-15 degrees, preferably 5 degrees, so that a sorting device based on the acoustic surface standing wave is formed. If the acoustic contrast factor of the particle is greater than 0, the particle moves along the nodal line of the standing wave field. If the acoustic contrast factor of the particle is less than 0, the particle moves along the antinode line. As long as the standing wave field is large enough, the particles can acquire a sufficient lateral offset distance.
The lithium niobate substrate 1 is installed on the heat radiation structure, and the heat radiation structure includes heat conduction aluminum plate 10, and on the lithium niobate substrate 1 laminated to heat conduction aluminum plate 10 through heat conduction silicone grease, heat conduction aluminum plate 10 rethread heat conduction silicone grease was connected with heat-dissipating groove 13 of platform below.
The image sensor 12 is used for converting an optical signal into a DVP signal, the heat conducting aluminum plate 10 is provided with a square first window 16, the microfluidic pipeline 2 is directly attached to the lithium niobate substrate 5, the transparent lithium niobate substrate 5 is placed above the image sensor 12, an outlet of the microfluidic pipeline 2 corresponds to a photosensitive area of the image sensor 12, and the center of a pixel array surface of the image sensor 12 corresponds to a watershed area of the outlet of the microfluidic pipeline 2. The data conversion unit 14 performs conversion of the DVP signal into USB packets and completes communication with the PC. The sample is placed over the image sensor 12 and under illumination from the light source, light rays not blocked by the sample form bright areas on the sensor surface. The light incident on the surface of the sample is diffracted, and the diffracted light interferes with the original light to form a gray-scale image. Since the image sensor 12 is a dense pixel array, the diameter of a single pixel may be less than 1 μm, enabling capture of shadow images of micron-sized particles. The image sensor converts the light intensity information on the pixel array into an electrical signal and finally reconstructs an image and image analysis through the data conversion unit 14.
As shown in fig. 6, the test platform integrating acoustic surface standing wave cell sorting with lensless imaging was tested:
obtaining S11 of the SSAW analysis device by using a network analyzer (E5071C), and obtaining the optimal working frequency f of the device0。
The flow rate of the first sheath flow 9 is set to be 3 muL/min, the flow rate of the sample flow 8 is set to be 3 muL/min, and the flow rate of the second sheath flow 7 is set to be 6 muL/min. Run for 5 minutes, remove air bubbles in the tube.
Applying a frequency f to an interdigital transducer (IDT)0Driving the total power to be set at 28 dBm.
The light source incident from the top of the upright microscope is used as the light source of the lens-free imaging system, so that the lens-free imaging system and the microscope can simultaneously acquire images of the microfluidic pipeline.
The captured images are saved and the image analysis is performed as shown in fig. 6 to 9.
The foregoing is only a preferred embodiment of the present invention. It should be noted that: it will be apparent to those skilled in the art that various modifications and adaptations can be made without departing from the principles of the invention and these are intended to be within the scope of the invention.
Claims (9)
1. A detection platform integrating acoustic surface standing wave cell sorting and lens-free imaging is characterized by comprising an SSAW sorting unit and a lens-free imaging unit; the SSAW sorting unit comprises a pair of interdigital transducers (1) and a sheath flow focusing module, wherein the interdigital transducers (1) and the sheath flow focusing module are processed and formed on a double-side polished lithium niobate substrate (5), the sheath flow focusing module is a microfluidic pipeline (2), and the microfluidic pipeline (2) is directly bonded between the interdigital transducers (1) on the lithium niobate substrate (5); the lens-free imaging unit comprises an image acquisition unit (17) and a data processing unit (15), the SSAW sorting unit is directly attached to the pixel array surface of the image acquisition unit (17), and the image acquisition unit (17) captures a shadow image of the cells in the microfluidic pipeline (2), converts the shadow image into a digital signal and transmits the digital signal to the data processing unit (15); and the data processing unit (15) analyzes the received image and quickly and automatically acquires the cell sorting result.
2. The integrated detection platform for cell sorting and lensless imaging of standing waves on a sound surface according to claim 1, wherein the microfluidic channel (2) is a PDMS channel having channel groove features, and an included angle of 5 ° to 15 ° exists between the microfluidic channel (2) and the interdigital transducer (1).
3. The detection platform integrating cell sorting and lensless imaging of standing waves on acoustic surface according to claim 1, wherein the microfluidic channel (2) has a three-input two-output structure, wherein the input at two sides is a sheath flow, and the sheath flow is a first sheath flow (9) and a second sheath flow (7), respectively, and the sample flow (8) is in the middle.
4. An integrated acoustic surface standing wave cell sorting and lensless imaging detection platform according to claim 3, wherein the microfluidic channel (2) has laminar flow characteristics, and the first sheath flow (9) and the second sheath flow (7) focus the sample flow (8) near the middle of the channel.
5. The detection platform for cell sorting and lensless imaging of standing waves on acoustic surface according to claim 3, wherein the cross-sectional ratio of the three inlets at the confluence point is first sheath flow (9), sample flow (8), second sheath flow (7) =1:1: 2; the two outlets are respectively a waste liquid outlet (3) and a collection outlet (4), and the section ratio of the collection outlet (4) to the waste liquid outlet (3) is 1:3 at the output watershed.
6. The integrated platform for cell sorting and lensless imaging of standing waves on acoustic surfaces according to claim 1, characterized in that the interdigital transducers (1) have 27 pairs of fingers, a metal ratio of 0.5, a finger width of 50 μm, a finger aperture of 7mm, 6 reflective gratings added at the end near the PAD, and a spacing between two interdigital transducers of 4950 μm.
7. The integrated detection platform for cell sorting and lens-free imaging of standing waves on acoustic surfaces according to claim 1, wherein the microfluidic pipeline (2) and the lithium niobate substrate (5) are bonded after being cleaned by oxygen plasma.
8. The detection platform integrating cell sorting and lensless imaging of standing waves on the surface of acoustic waves as claimed in claim 1, wherein the image acquisition unit (17) comprises an image sensor (12), and the image sensor (12) corresponds to the outlet of the microfluidic pipeline (2).
9. The detection platform integrating cell sorting and lensless imaging of standing waves on the surface of sound according to claim 1, wherein a heat dissipation mechanism is disposed between the SSAW sorting unit and the lensless imaging unit, the heat dissipation mechanism comprises a heat conductive aluminum plate (10), the lithium niobate substrate (1) is attached to the heat conductive aluminum plate (10) through heat conductive silicone grease, and the heat conductive aluminum plate (10) is connected to a heat dissipation groove (13) below the platform through the heat conductive silicone grease.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2022075844A1 (en) * | 2020-10-05 | 2022-04-14 | Lumicks Ca Holding B.V. | Determining physical properties of cellular bodies based on acoustic force spectroscopy |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20140033808A1 (en) * | 2012-08-01 | 2014-02-06 | The Penn State Research Foundation | High-efficiency separation and manipulation of particles and cells in microfluidic device using surface acoustic waves at an oblique angle |
| US20150330887A1 (en) * | 2012-12-28 | 2015-11-19 | Korea University Research And Business Foundation | Apparatus and method for microparticle separation based on microfluidic chromatography using surface acoustic wave |
| CN108271410A (en) * | 2015-02-27 | 2018-07-10 | 布里格姆女子医院有限公司 | Imaging system and the method using the imaging system |
| CN109652298A (en) * | 2018-12-29 | 2019-04-19 | 北京化工大学 | A kind of drop PCR amplification detection device based on micro-fluidic chip |
| CN110044800A (en) * | 2019-03-11 | 2019-07-23 | 西安理工大学 | Flow cytometer based on micro-fluidic three-dimensional focal technology |
| CN110237873A (en) * | 2019-04-28 | 2019-09-17 | 杭州电子科技大学 | It is a kind of based on surface acoustic wave for particle separation without sheath stream micro-fluidic chip |
-
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Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20140033808A1 (en) * | 2012-08-01 | 2014-02-06 | The Penn State Research Foundation | High-efficiency separation and manipulation of particles and cells in microfluidic device using surface acoustic waves at an oblique angle |
| US20150330887A1 (en) * | 2012-12-28 | 2015-11-19 | Korea University Research And Business Foundation | Apparatus and method for microparticle separation based on microfluidic chromatography using surface acoustic wave |
| CN108271410A (en) * | 2015-02-27 | 2018-07-10 | 布里格姆女子医院有限公司 | Imaging system and the method using the imaging system |
| CN109652298A (en) * | 2018-12-29 | 2019-04-19 | 北京化工大学 | A kind of drop PCR amplification detection device based on micro-fluidic chip |
| CN110044800A (en) * | 2019-03-11 | 2019-07-23 | 西安理工大学 | Flow cytometer based on micro-fluidic three-dimensional focal technology |
| CN110237873A (en) * | 2019-04-28 | 2019-09-17 | 杭州电子科技大学 | It is a kind of based on surface acoustic wave for particle separation without sheath stream micro-fluidic chip |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2022075844A1 (en) * | 2020-10-05 | 2022-04-14 | Lumicks Ca Holding B.V. | Determining physical properties of cellular bodies based on acoustic force spectroscopy |
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Application publication date: 20200515 |