CN112051247B - Lens-free imaging device based on laminated imaging and phase recovery method thereof - Google Patents
Lens-free imaging device based on laminated imaging and phase recovery method thereof Download PDFInfo
- Publication number
- CN112051247B CN112051247B CN202010847763.5A CN202010847763A CN112051247B CN 112051247 B CN112051247 B CN 112051247B CN 202010847763 A CN202010847763 A CN 202010847763A CN 112051247 B CN112051247 B CN 112051247B
- Authority
- CN
- China
- Prior art keywords
- sample
- scattering layer
- image sensor
- image
- solution
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Images
Classifications
-
- 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
-
- 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
- G01N21/62—Systems in which the material investigated is excited whereby it emits light or causes a change in wavelength of the incident light
- G01N21/63—Systems in which the material investigated is excited whereby it emits light or causes a change in wavelength of the incident light optically excited
- G01N21/64—Fluorescence; Phosphorescence
- G01N21/645—Specially adapted constructive features of fluorimeters
- G01N21/6456—Spatial resolved fluorescence measurements; Imaging
- G01N21/6458—Fluorescence microscopy
-
- 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
- G01N21/62—Systems in which the material investigated is excited whereby it emits light or causes a change in wavelength of the incident light
- G01N21/63—Systems in which the material investigated is excited whereby it emits light or causes a change in wavelength of the incident light optically excited
- G01N21/64—Fluorescence; Phosphorescence
- G01N21/6486—Measuring fluorescence of biological material, e.g. DNA, RNA, cells
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/50—Constructional details
- H04N23/54—Mounting of pick-up tubes, electronic image sensors, deviation or focusing coils
Abstract
The invention provides a lens-free imaging device based on laminated imaging and a phase recovery method thereof. The device comprises a laser, a sample clamping device, a motor, a scattering layer and an image sensor. In the imaging process, a motor is continuously used for moving the position of the sample in the horizontal direction, and the scattering layer is used for modulating emergent light generated after laser irradiates the sample. And simultaneously keeping the relative distance between the sample and the image sensor unchanged, recording images of the sample at different positions by using the image sensor, and recovering the profile of the scattering layer and the profile of the sample by using a two-dimensional cross-correlation algorithm and an rPIE algorithm after 200 images are acquired. The two-dimensional cross-correlation algorithm and the rPIE algorithm were implemented using MATLAB2018a software. According to the invention, a scattering layer is added between the sample and the image sensor, so that the displacement of the sample at different positions can be calculated, and the limit of reaching the resolution is improved from 9-1 to 9-4.
Description
Technical Field
The invention relates to the field of computational imaging, in particular to a lens-free imaging device based on a laminated imaging structure modulation principle and a phase recovery method thereof.
Technical Field
Lens-free microscopy is a technique that directly brings a sample into close proximity with a photosensor, such as a charge-coupled device (CCD) or a complementary metal-oxide semiconductor Chip (CMOS), and directly images the sample without the need for optical elements. In a classical lensless microscope system, the main components are the light source, the sample and the photosensor, and therefore the resolution of the photosensor will directly limit the resolution of the image. Because no lens is added in the lensless microscope system, the problem that the traditional optical microscope imaging needs to be compromised between a field of view and resolution is well solved, and the problem of aberration caused by the lens can be well avoided. Compared with the traditional analysis and detection instrument which is expensive in price, large in size and needs to be operated by professional technical personnel, the lens-free microtechnical principle is simple, the price is low, the carrying is convenient, and the real-time observation and analysis of the sample by the detection personnel are facilitated.
In 1969, hoppe first proposed the concept of stacked-scan imaging (ptychodography), with the purpose of being able to deterministically solve the phase information of complex-amplitude objects. The laminated scanning coherent diffraction imaging system obtains a plurality of intensity diffraction patterns corresponding to different parts of a sample through a two-dimensional moving aperture diaphragm or the sample. Stack imaging improves the convergence of the phase recovery algorithm and reduces the requirements on experimental conditions by recording a high redundancy of data. With the development of the reconstruction algorithm, the imaging quality of the laminated scanning is remarkably improved, and the application range is continuously expanded. Rodenburg et al in 2004 proposed a robust stacked diffraction imaging algorithm (PIE), using multiple intensity patterns to replace the traditional single intensity pattern, greatly improving the convergence rate and noise immunity of the iterative phase recovery algorithm, and the recovered result has the characteristics of high contrast, high resolution, large field of view, quantitative phase, etc.
Disclosure of Invention
Aiming at the defects in the prior art, the invention provides a lens-free imaging device based on laminated imaging and a phase recovery method thereof. The method can be used to quickly acquire raw images and calculate amplitude and phase information of an object from the raw images.
A lens-free imaging device based on laminated imaging comprises a laser, a sample clamping device, a motor, a scattering layer and an image sensor.
Wherein, the scattering layer is made by uniformly coating 1-5 μm fluorescent beads on the protective glass on the surface of the image sensor, and one side of the surface of the image sensor is provided with a certain space without coating the fluorescent beads, namely a blank area without the scattering layer. The laser is fixed right above the image sensor and the sample, the vertical distance between the laser and the sample is 10cm, the sample is fixed above the image sensor through a sample clamping device, the distance d1 between the sample and the scattering layer is 400 mu m, the motor is connected with the sample clamping device to control the movement of the sample, and the distance d2 between the scattering layer and the image sensor is fixed at 160 mu m because the scattering layer is coated on the protective glass on the surface of the image sensor.
The laser is green light with the wavelength of 532nm, and the power is 10mW;
further, the image sensor is a CMOS sensor manufactured by IMAGINGSOURSE corporation, the model is DMM37UX226-ML, and the pixel size of the sensor is 1.85 μm.
Further, the resolution of the image sensor is 4000 × 3000, and the size of the region where the fluorescent beads are not coated is 200 × 3000.
In the imaging process, a motor is continuously used for moving the position of the sample in the horizontal direction, and the scattering layer is used for modulating emergent light generated after laser irradiates the sample. And simultaneously keeping the relative distance between the sample and the image sensor unchanged, recording images of the sample at different positions by using the image sensor, and recovering the profile of the scattering layer and the profile of the sample by using a two-dimensional cross-correlation algorithm and an rPIE algorithm after 200 images are acquired. The two-dimensional cross-correlation algorithm and the rPIE algorithm are realized by using MATLAB2018a software
A lens-free imaging phase recovery method based on laminated imaging comprises the following steps:
step 1: using image transferThe sensor collects an image. In the process of acquiring images, two motors are used for moving the position of a sample in the horizontal direction, the images formed by the sample at different positions are recorded by using the image sensor, the number of the images to be acquired is 200, and the number is marked as I j (j =1,2.., 200), the size of a single image is 4000 × 3000.
And 2, step: the relative displacement between the images is calculated.
And calculating the initial moving position of the sample after the motor moves in the horizontal direction each time by adopting a two-dimensional cross-correlation algorithm. The method comprises the following specific steps:
(1) Selecting an image I j (j =1,2,.. 200) corresponds to the area without fluorescent beads. When the fluorescent ball is coated, a certain blank area is left on the surface of the image sensor, so that the information that the small ball does not exist in part of the area on the acquired image is also available, and the information is selected and recorded as I _ blank j (j＝1，2，...，200)；
(2) Will I _ blank j (j =1,2,.., 200) a first image is registered as a target image and subjected to a two-dimensional fourier transform operation;
(3) Sequentially reading 200 acquired images, respectively carrying out Fourier transformation, and calculating the relative displacement between each image and a target image in the Fourier plane by using a dftreistration () function of MATLAB (matrix laboratory), namely calculating the relative position between the images, wherein the relative displacement of the jth image is recorded as (x) j ，y j )。
And step 3: selecting an image I j (j =1,2,.., 200) the area corresponding to the coated fluorescent beads, i.e., the area where the scattering layer exists, is marked as I _ recovery j (j＝1，2，...，200)。
And 4, step 4: the sample is initialized and the solution of the scattering layer to the wavefront is initialized. Two all-1 matrix variables are used as initial solutions, and the initial solution of the sample wavefront and the initial solution of the scattering layer wavefront are denoted as O (x, y) and D (x, y), respectively.
And 5: using I _ recovery j (j =1,2.., 200) with stacked imaging structure modulation;
the description is given through the jth image, and the specific steps are as follows:
(1) Calculating the relative displacement (x, y) of the initial solution O (x, y) of the sample wave front according to the jth image j ，y j ) Translating to obtain solution O of sample wave front j (x, y), the corresponding equation is:
O j (x，y)＝O(x-x j ，y-y j )；
(2) The solution of the sample wavefront is propagated to the scattering layer. The propagation function used is a point spread function of light propagating in the self-using space, wherein the propagation distance is d1, and the solution after the sample wavefront propagation is recorded as O D (x, y), the corresponding equation is:
O D (x，y)＝PSF(d 1 )*O j (x，y)；
(3) Multiplying the solution after sample wave front propagation with the initial solution D (x, y) of the scattering layer to obtain a multiplied solution
The corresponding formula is:
(4) Propagating the multiplied solution to the image sensor plane using a propagation function that is a point spread function of light propagating in the free space with a propagation distance d2, and noting the solution propagated to the image sensor as psi j (x, y), the corresponding equation is:
(5) By I _ recovery j Replacement psi j The amplitude of (x, y) corresponds to the formula:
(6) The result after replacement is psi' j (x，y) propagates back to the scattering layer, using a propagation function that is the point spread function of light propagating in the dead space, corresponding to the formula:
(7) Updating O Using rPIE Algorithm D (x, y) and D (x, y), obtaining the updated solution after the sample wavefront propagation
And updated initial solution D of the scattering layer update (x, y) corresponding to the formulas:
(8) Will be provided with
Backward propagating back to object layer to obtain updated solution of sample wavefront
The used propagation function is a point spread function of light propagating in the self-use space, and the corresponding formulas are respectively as follows:
(9) Will be provided with
Translating back to the initial position to obtain the updated initial solution O of the sample wavefront update (x, y) corresponding to the formulas:
step 6: and (5) iteratively updating the 200 collected images out of order, wherein the number of iterations is 2.
The invention has the following beneficial effects:
compared with the traditional lens-free imaging device, the lens-free imaging device has the advantages that the scattering layer is added between the sample and the image sensor, wherein the scattering layer is made by coating the fluorescent beads on the image sensor, and meanwhile, a part of the area, on the image sensor, where the scattering layer is not coated is reserved, so that the displacement of the sample at different positions can be calculated. The USAF1951 resolution plate was used for testing, and compared with the previous method, the resolution can reach the limit of 9-1 to 9-4, meanwhile, unstained rat kidney tissue section and stained esophagus cancer section are used for verifying the imaging effect of the system.
Drawings
FIG. 1 is a schematic view of a lensless imaging apparatus;
FIG. 2 is a schematic view of a scattering layer application;
FIG. 3 is pseudo code of a reconstruction algorithm flow;
FIG. 4 is a graph of the results of reconstructing a USAF1951 resolution plate;
FIG. 5 is a graph of the results of phase reconstruction of unstained mouse kidney tissue sections;
FIG. 6 is a graph of the results of reconstructing a large field of view of stained esophageal cancer sections.
Detailed Description
The invention is further described with reference to the following figures and examples;
a lens-free imaging device based on laminated imaging comprises a laser, a sample clamping device, a motor, a scattering layer and an image sensor.
Wherein, the scattering layer is made by uniformly coating 1-5 μm fluorescent beads on the protective glass on the surface of the image sensor, and one side of the surface of the image sensor is provided with a certain space without coating the fluorescent beads, namely a blank area without the scattering layer. The laser is fixed right above the image sensor and the sample, the vertical distance between the laser and the sample is 10cm, the sample is fixed above the image sensor through the sample clamping device, the distance d1 between the sample and the scattering layer is 400 micrometers, the motor is connected with the sample clamping device and controls the movement of the sample, and the distance d2 between the scattering layer and the image sensor is fixed at 160 micrometers as the scattering layer is coated on the protective glass on the surface of the image sensor.
The laser is green light with the wavelength of 532nm, and the power is 10mW;
further, the image sensor is a CMOS sensor manufactured by IMAGINGSOURSE corporation, the model is DMM37UX226-ML, and the pixel size of the sensor is 1.85 μm.
Further, the resolution of the image sensor is 4000 × 3000, and the size of the region where the fluorescent beads are not coated is 200 × 3000.
In the imaging process, a motor is continuously used for moving the position of the sample in the horizontal direction, and the scattering layer is used for modulating emergent light generated after laser irradiates the sample. And simultaneously keeping the relative distance between the sample and the image sensor unchanged, recording images of the sample at different positions by using the image sensor, and recovering the profile of the scattering layer and the profile of the sample by using a two-dimensional cross-correlation algorithm and an rPIE algorithm after 200 images are acquired. The two-dimensional cross-correlation algorithm and the rPIE algorithm are realized by using MATLAB2018a software
A lens-free imaging phase recovery method based on laminated imaging comprises the following steps:
step 1: an image is acquired using an image sensor. In the process of acquiring images, two motors are used for moving the position of a sample in the horizontal direction, the images formed by the sample at different positions are recorded by using the image sensor, the number of the images to be acquired is 200, and the number is marked as I j (j =1,2.., 200), the size of a single image is 4000 × 3000.
And 2, step: the relative displacement between the images is calculated.
And calculating the initial moving position of the sample after the motor moves in the horizontal direction each time by adopting a two-dimensional cross-correlation algorithm. The method comprises the following specific steps:
(1) Selecting an image I j (j =1,2.., 200) corresponds to the area without fluorescent beads. When the fluorescent ball is coated, a certain blank area is left on the surface of the image sensor, so that the information that the small ball does not exist in part of the area on the acquired image is also available, and the information is selected and recorded as I _ blank j (j＝1，2，...，200)；
(2) Will I _ blank j (j =1,2.., 200) the first image is registered as the target image and subjected to a two-dimensional fourier transform operation;
(3) Sequentially reading 200 acquired images, respectively carrying out Fourier transformation, and calculating the relative displacement between each image and a target image in the Fourier plane by using a dftreistration () function of MATLAB (matrix laboratory), namely calculating the relative position between the images, wherein the relative displacement of the jth image is recorded as (x) j ，y j )。
And 3, step 3: selecting an image I j (j =1,2,.., 200) the area corresponding to the coated fluorescent beads, i.e., the area where the scattering layer exists, is marked as I _ recovery j (j＝1，2，...，200)。
And 4, step 4: the sample is initialized and the solution of the scattering layer to the wavefront is initialized. Two all-1 matrix variables are used as initial solutions, and the initial solution of the sample wavefront and the initial solution of the scattering layer wavefront are denoted as O (x, y) and D (x, y), respectively.
And 5: using I _ recovery j (j =1,2.., 200) with stacked imaging structure modulation;
the description is given through the jth image, and the specific steps are as follows:
(1) Calculating the relative displacement (x, y) of the initial solution O (x, y) of the sample wave front according to the jth image j ，y j ) Translating to obtain solution O of sample wave front j (x, y), the corresponding equation is:
O j (x，y)＝O(x-x j ，y-y j )；
(2) The solution of the sample wavefront is propagated to the scattering layer. The propagation function used is a point spread function of light propagating in the dead space, where the propagation distance is d1, after propagating the sample wavefrontIs solved as O D (x, y), the corresponding equation:
O D (x，y)＝PSF(d 1 )*O j (x，y)；
(3) Multiplying the solution after sample wave front propagation with the initial solution D (x, y) of the scattering layer to obtain a multiplied solution
The corresponding formula is:
(4) Propagating the multiplied solution to the image sensor plane using a propagation function that is a point spread function of light propagating in the free space with a propagation distance d2, and noting the solution propagated to the image sensor as psi j (x, y), the corresponding equation is:
(5) By I _ recovery j Replacement of psi j The amplitude of (x, y) corresponds to the formula:
(6) The result after replacement is psi' j (x, y) propagates back to the scattering layer using a propagation function that is the point spread function of light propagating in the dead space, corresponding to the formula:
(7) Updating O Using the rPIE Algorithm D (x, y) and D (x, y), obtaining the updated solution after the sample wavefront propagation
And updated initial solution D of the scattering layer update (x, y) corresponding to the formulas:
(8) Will be provided with
Back propagating back to the object layer to obtain an updated solution of the sample wavefront
The used propagation function is a point spread function of light propagating in the self-use space, and the corresponding formulas are respectively as follows:
(9) Will be provided with
Translating back to the initial position to obtain the updated initial solution O of the sample wavefront update (x, y) the corresponding equations are:
and 6: and (5) iteratively updating the 200 collected images out of order, wherein the number of iterations is 2.
FIG. 1 is a schematic view of a lensless imaging apparatus. The left figure is a device structure schematic diagram, and the right figure is a device 3D structure schematic diagram. The device mainly comprises four parts, namely laser, a sample, a scattering layer and an image sensor, wherein in the process of actually building the device, the used laser is green light with the wavelength of 532nm, and the power is 10mW; the distance from the laser to the sample is 10cm, the distance d1 from the sample to the scattering layer is about 400 μm, and the distance d2 from the scattering layer to the image sensor is fixed at 160 μm because the scattering layer coats the surface of the image sensor.
Fig. 2 is a schematic view of scattering layer application. The left side is the image sensor corresponding to the small fluorescent ball which is not coated, and the right side is the image sensor coated with the small fluorescent ball. The scattering layer is made by uniformly coating fluorescent small balls with the diameter of 1-5 mu m on the surface of the image sensor, and a certain space is reserved on one side of the image sensor to prevent the small balls from being coated in the process of coating the fluorescent small balls. The image sensor used in this patent is 4000 x 3000 in size, and the area without smeared beads is approximately 200 x 3000 in size.
FIG. 3 is pseudo code of a reconstruction algorithm flow;
FIG. 4 is a graph of the results of reconstructing a USAF1951 resolution plate;
unstained mouse kidney tissue sections and stained esophageal cancer sections were used to verify the imaging effect of the system. FIG. 5 is a graph of the results of phase reconstruction of unstained mouse kidney tissue sections; FIG. 6 is a graph of the results of reconstructing a large field of view of stained esophageal cancer sections.
Claims (4)
1. A lens-free imaging device based on laminated imaging is characterized by comprising a laser, a sample clamping device, a motor, a scattering layer and an image sensor;
wherein, the scattering layer is made by uniformly coating 1-5 μm fluorescent beads on the protective glass on the surface of the image sensor, and one side of the surface of the image sensor is provided with a certain space without coating the fluorescent beads, namely a blank area without the scattering layer; the laser is fixed right above the image sensor and the sample, the vertical distance between the laser and the sample is 10cm, the sample is fixed above the image sensor through a sample clamping device, the distance d1 between the sample and the scattering layer is 400 mu m, the motor is connected with the sample clamping device to control the movement of the sample, and the distance d2 between the scattering layer and the image sensor is fixed at 160 mu m as the scattering layer is coated on the protective glass on the surface of the image sensor;
the laser is green light with the wavelength of 532nm, and the power is 10mW.
2. The lens-free IMAGING device based on stacked IMAGING as claimed in claim 1, wherein the image sensor is a CMOS sensor manufactured by IMAGING SOURSE corporation, model number DMM37UX226-ML, and the pixel size of the sensor is 1.85 μm.
3. The lens-free imaging device according to claim 2, wherein the image sensor has a resolution of 4000 × 3000, and the area not coated with the fluorescent beads has a resolution of 200 × 3000.
4. The phase recovery method of the lens-free imaging device based on the stacked imaging as claimed in claim 1, characterized by comprising the following steps:
step 1: acquiring an image using an image sensor; in the process of acquiring images, two motors are used for moving the position of a sample in the horizontal direction, the image sensors are used for recording images formed by the sample at different positions, the number of the images to be acquired is 200, and the number is marked as I j (j =1,2, …, 200), the size of a single image is 4000 × 3000;
step 2: calculating relative displacement between the images;
calculating the initial moving position of the sample after the motor moves in the horizontal direction each time by adopting a two-dimensional cross-correlation algorithm; the method comprises the following specific steps:
(1) Selecting an image I j (j =1,2, …, 200) corresponds to the area without fluorescent beads; when the fluorescent beads are coated, a certain blank area is left on the surface of the image sensor, so that information that the beads do not exist in partial area is also obtained on the acquired image, and the information is marked as I _ blank j (j＝1,2,…,200)；
(2) Will I _ blank j (j =1,2.., 200) the first image is registered as the target image and subjected to a two-dimensional fourier transform operation;
(3) Sequentially reading 200 acquired images, respectively carrying out Fourier transformation, and calculating the relative displacement between each image and a target image in the Fourier plane by using a dftreistration () function of MATLAB (matrix laboratory), namely calculating the relative position between the images, wherein the relative displacement of the jth image is recorded as (x) j ，y j )；
And step 3: selecting an image I j (j =1,2,.., 200) the area corresponding to the coated fluorescent beads, i.e., the area where the scattering layer exists, is marked as I _ recovery j (j＝1，2，...，200)；
And 4, step 4: initializing a sample and a solution of a scattering layer corresponding to a wave front; taking two matrix variables of all 1 as initial solutions, and respectively recording the initial solution of the sample wave front and the initial solution of the scattering layer wave front as O (x, y) and D (x, y);
and 5: using I _ recovery j (j =1,2,.., 200) for stack imaging structure modulation;
the description is given through the jth image, and the specific steps are as follows:
(1) Calculating the relative displacement (x, y) of the initial solution O (x, y) of the sample wave front according to the jth image j ，y j ) Translating to obtain solution O of sample wave front j (x, y), the corresponding equation is:
O j (x，y)＝O(x-x j ，y-y j )；
(2) Propagating a solution of the sample wavefront to the scattering layer; the propagation function used is a point spread function of light propagating in the self-using space, wherein the propagation distance is d1, and the solution after the sample wavefront propagation is recorded as O D (x, y), the corresponding equation is:
O D (x，y)＝PSF(d 1 )*O j (x，y)；
(3) Multiplying the solution after sample wave front propagation with the initial solution D (x, y) of the scattering layer to obtain a multiplied solution
The corresponding formula is:
(4) Propagating the multiplied solution to the image sensor plane using a propagation function that is a point spread function of light propagating in the free space with a propagation distance d2, and noting the solution propagated to the image sensor as psi j (x, y), the corresponding equation is:
(5) By I _ recovery j Replacement of psi j The amplitude of (x, y) corresponds to the formula:
(6) The result after replacement is psi' j (x, y) propagates back to the scattering layer using a propagation function that is the point spread function of light propagating in the dead space, corresponding to the formula:
(7) Updating O Using the rPIE Algorithm D (x, y) and D (x, y), obtaining the updated solution after the sample wavefront propagation
And updated initial solution D of the scattering layer update (x, y) corresponding to the formulas:
(8) Will be provided with
Backward propagating back to object layer to obtain updated solution of sample wavefront
The used propagation function is a point spread function of light propagating in the self-use space, and the corresponding formulas are respectively as follows:
(9) Will be provided with
Translating back to the initial position to obtain the updated initial solution O of the sample wavefront update (x, y) corresponding to the formulas:
step 6: and (5) iteratively updating the 200 collected images out of order, wherein the number of iterations is 2.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010847763.5A CN112051247B (en) | 2020-08-21 | 2020-08-21 | Lens-free imaging device based on laminated imaging and phase recovery method thereof |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010847763.5A CN112051247B (en) | 2020-08-21 | 2020-08-21 | Lens-free imaging device based on laminated imaging and phase recovery method thereof |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN112051247A CN112051247A (en) | 2020-12-08 |
| CN112051247B true CN112051247B (en) | 2022-10-18 |
Family
ID=73599648
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010847763.5A Active CN112051247B (en) | 2020-08-21 | 2020-08-21 | Lens-free imaging device based on laminated imaging and phase recovery method thereof |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112051247B (en) |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102660457A (en) * | 2012-04-17 | 2012-09-12 | 南昌航空大学 | Device and method for analyzing and counting blood cells by lensless holographic diffraction imaging |
| JP2018120025A (en) * | 2017-01-23 | 2018-08-02 | セイコーエプソン株式会社 | Lighting system and projector |
| CN110927115A (en) * | 2019-12-09 | 2020-03-27 | 杭州电子科技大学 | Lens-free dual-type fusion target detection device and method based on deep learning |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP1889111A2 (en) * | 2005-05-25 | 2008-02-20 | Massachusetts Institute of Technology | Multifocal imaging systems and methods |
-
2020
- 2020-08-21 CN CN202010847763.5A patent/CN112051247B/en active Active
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102660457A (en) * | 2012-04-17 | 2012-09-12 | 南昌航空大学 | Device and method for analyzing and counting blood cells by lensless holographic diffraction imaging |
| JP2018120025A (en) * | 2017-01-23 | 2018-08-02 | セイコーエプソン株式会社 | Lighting system and projector |
| CN110927115A (en) * | 2019-12-09 | 2020-03-27 | 杭州电子科技大学 | Lens-free dual-type fusion target detection device and method based on deep learning |
Non-Patent Citations (4)
| Title |
|---|
| Machine learning based single-frame super-resolution processing for lensless blood cell counting;Xiwei huang et al.;《Sensors》;20161102;第1-16页 * |
| Wide-field, high-resolution lensless on-chip;Jiang S et al.;《Lab on a chip》;20200211;第1058-1065页 * |
| 小型化无透镜微流控片上生物成像检测;陈津 等;《物联网学报》;20190630;第9-19页 * |
| 无透镜片上显微成像技术:理论、发展与应用;张佳琳 等;《红外与激光工程 》;20190625;第121-153 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN112051247A (en) | 2020-12-08 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US11946854B2 (en) | Systems and methods for two-dimensional fluorescence wave propagation onto surfaces using deep learning | |
| CN106990694B (en) | Non-iterative phase recovery device and method under partially-dry-light illumination | |
| CN109884018B (en) | Submicron lens-free microscopic imaging method and system based on neural network | |
| JP2018537709A (en) | Computer microscope and method for generating images under different illumination conditions | |
| CN106324853B (en) | A kind of double object distance lamination imaging methods of visible domain | |
| CN111366557B (en) | Phase imaging method based on thin scattering medium | |
| CN109685745B (en) | Phase microscopic imaging method based on deep learning | |
| US11482021B2 (en) | Adaptive sensing based on depth | |
| JP2013545138A (en) | On-chip 4D light field microscope | |
| CN102057397A (en) | System and method for producing an optically sectioned image using both structured and uniform illumination | |
| CN106600687B (en) | Multi-direction flame emission chromatography system | |
| CN108594418A (en) | A kind of light field micro imaging system and its method based on array single pixel detector | |
| CN110675451B (en) | Digital self-adaptive correction method and system based on phase space optics | |
| JP2013531268A (en) | Measuring distance using coded aperture | |
| JP2022529366A (en) | Systems and methods for deep learning-based color holographic microscopes | |
| CN108364342B (en) | Light field microscopic system and three-dimensional information reconstruction method and device thereof | |
| CN113039493A (en) | System and method for converting holographic microscopy images into various modality microscopy images | |
| CN115144371A (en) | Lensless Fourier laminated diffraction tomography microscopic imaging method based on wavelength scanning | |
| CN108537862B (en) | Fourier diffraction scanning microscope imaging method with self-adaptive noise reduction function | |
| CN112051247B (en) | Lens-free imaging device based on laminated imaging and phase recovery method thereof | |
| CN113504202B (en) | Coherent modulation imaging method based on axial translation binary amplitude mask | |
| CN114972284A (en) | Lens-free microscopic imaging system and method based on self-supervision deep learning | |
| CN113218914B (en) | Non-invasive scattering medium point spread function acquisition device and method | |
| CN110989155B (en) | Lens-free microscopic imaging device based on optical filter array and reconstruction method | |
| CN112747822A (en) | Three-dimensional imaging system and method |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |