CN111458318B - Super-resolution imaging method and system utilizing square lattice structure light illumination - Google Patents
Super-resolution imaging method and system utilizing square lattice structure light illumination Download PDFInfo
- Publication number
- CN111458318B CN111458318B CN202010397842.0A CN202010397842A CN111458318B CN 111458318 B CN111458318 B CN 111458318B CN 202010397842 A CN202010397842 A CN 202010397842A CN 111458318 B CN111458318 B CN 111458318B
- Authority
- CN
- China
- Prior art keywords
- super
- light
- lattice structure
- light field
- square lattice
- 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
- 238000005286 illumination Methods 0.000 title claims abstract description 74
- 238000003384 imaging method Methods 0.000 title claims abstract description 39
- 230000010363 phase shift Effects 0.000 claims abstract description 41
- 238000000034 method Methods 0.000 claims abstract description 36
- RKTYLMNFRDHKIL-UHFFFAOYSA-N copper;5,10,15,20-tetraphenylporphyrin-22,24-diide Chemical compound [Cu+2].C1=CC(C(=C2C=CC([N-]2)=C(C=2C=CC=CC=2)C=2C=CC(N=2)=C(C=2C=CC=CC=2)C2=CC=C3[N-]2)C=2C=CC=CC=2)=NC1=C3C1=CC=CC=C1 RKTYLMNFRDHKIL-UHFFFAOYSA-N 0.000 claims abstract description 8
- 238000004422 calculation algorithm Methods 0.000 claims abstract description 4
- 238000001228 spectrum Methods 0.000 claims description 57
- 230000003287 optical effect Effects 0.000 claims description 45
- 230000006870 function Effects 0.000 claims description 28
- 238000012546 transfer Methods 0.000 claims description 28
- 238000009826 distribution Methods 0.000 claims description 20
- 238000002073 fluorescence micrograph Methods 0.000 claims description 16
- 239000011159 matrix material Substances 0.000 claims description 11
- 238000004590 computer program Methods 0.000 claims description 7
- 238000000926 separation method Methods 0.000 claims description 7
- 230000003595 spectral effect Effects 0.000 claims description 7
- 238000013519 translation Methods 0.000 claims description 7
- 239000013598 vector Substances 0.000 claims description 7
- 230000010287 polarization Effects 0.000 abstract description 11
- 230000008569 process Effects 0.000 abstract description 9
- 238000010276 construction Methods 0.000 abstract description 7
- 206010034972 Photosensitivity reaction Diseases 0.000 abstract description 6
- 208000007578 phototoxic dermatitis Diseases 0.000 abstract description 6
- 231100000018 phototoxicity Toxicity 0.000 abstract description 6
- 230000005284 excitation Effects 0.000 description 10
- 230000005540 biological transmission Effects 0.000 description 7
- 210000004027 cell Anatomy 0.000 description 7
- 238000010586 diagram Methods 0.000 description 4
- 238000000386 microscopy Methods 0.000 description 4
- 238000011160 research Methods 0.000 description 4
- 230000008901 benefit Effects 0.000 description 3
- 238000004364 calculation method Methods 0.000 description 3
- 210000001747 pupil Anatomy 0.000 description 3
- 239000003814 drug Substances 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 238000002474 experimental method Methods 0.000 description 2
- 238000000799 fluorescence microscopy Methods 0.000 description 2
- 230000004807 localization Effects 0.000 description 2
- 239000000463 material Substances 0.000 description 2
- 238000004377 microelectronic Methods 0.000 description 2
- -1 microelectronics Substances 0.000 description 2
- 238000003672 processing method Methods 0.000 description 2
- 238000010869 super-resolution microscopy Methods 0.000 description 2
- 102000029749 Microtubule Human genes 0.000 description 1
- 108091022875 Microtubule Proteins 0.000 description 1
- 101100149589 Saccharomyces cerevisiae (strain ATCC 204508 / S288c) SLM4 gene Proteins 0.000 description 1
- BQCADISMDOOEFD-UHFFFAOYSA-N Silver Chemical compound [Ag] BQCADISMDOOEFD-UHFFFAOYSA-N 0.000 description 1
- 230000003213 activating effect Effects 0.000 description 1
- 238000000429 assembly Methods 0.000 description 1
- 230000000712 assembly Effects 0.000 description 1
- 230000006399 behavior Effects 0.000 description 1
- 230000001419 dependent effect Effects 0.000 description 1
- 230000004069 differentiation Effects 0.000 description 1
- 239000000975 dye Substances 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 239000005262 ferroelectric liquid crystals (FLCs) Substances 0.000 description 1
- 239000007850 fluorescent dye Substances 0.000 description 1
- 230000002452 interceptive effect Effects 0.000 description 1
- 230000001678 irradiating effect Effects 0.000 description 1
- 229920002521 macromolecule Polymers 0.000 description 1
- 210000004688 microtubule Anatomy 0.000 description 1
- 239000013307 optical fiber Substances 0.000 description 1
- 238000000399 optical microscopy Methods 0.000 description 1
- 210000003463 organelle Anatomy 0.000 description 1
- 230000000149 penetrating effect Effects 0.000 description 1
- 108090000623 proteins and genes Proteins 0.000 description 1
- 102000004169 proteins and genes Human genes 0.000 description 1
- 230000004044 response Effects 0.000 description 1
- 239000004065 semiconductor Substances 0.000 description 1
- 229910052709 silver Inorganic materials 0.000 description 1
- 239000004332 silver Substances 0.000 description 1
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
- G01N21/62—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
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T3/00—Geometric image transformations in the plane of the image
- G06T3/40—Scaling of whole images or parts thereof, e.g. expanding or contracting
- G06T3/4053—Scaling of whole images or parts thereof, e.g. expanding or contracting based on super-resolution, i.e. the output image resolution being higher than the sensor resolution
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T3/00—Geometric image transformations in the plane of the image
- G06T3/40—Scaling of whole images or parts thereof, e.g. expanding or contracting
- G06T3/4084—Scaling of whole images or parts thereof, e.g. expanding or contracting in the transform domain, e.g. fast Fourier transform [FFT] domain scaling
-
- 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
- G01N2021/6463—Optics
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Health & Medical Sciences (AREA)
- Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
- Life Sciences & Earth Sciences (AREA)
- Chemical & Material Sciences (AREA)
- Analytical Chemistry (AREA)
- Biochemistry (AREA)
- General Health & Medical Sciences (AREA)
- Immunology (AREA)
- Pathology (AREA)
- Investigating, Analyzing Materials By Fluorescence Or Luminescence (AREA)
- Microscoopes, Condenser (AREA)
Abstract
The invention discloses a super-resolution imaging method and a super-resolution imaging system illuminated by square lattice structure light, which mainly comprise the following steps: forming a lattice structure light field on a sample plane, and performing phase shift by controlling a light field modulation device; acquiring a fluorescent image illuminated by the lattice structure light; obtaining a super-resolution image by using a frequency domain reconstruction algorithm; compared with the common stripe structure light, the tetragonal lattice structure light has lower light dose under the same peak intensity, the phototoxicity of the system can be greatly reduced, living cells can be observed for a longer time, in addition, only phase shift needs to be carried out on illumination patterns in the imaging process, and rotation is not needed, so that the polarization control in the imaging process is greatly simplified, the complexity of the system can be reduced, and the construction cost of the system is effectively reduced.
Description
Technical Field
The invention belongs to the technical field of optics, and particularly relates to a super-resolution imaging method and system utilizing square lattice structured light to illuminate, which can be widely applied to the research in the fields of biology, medicine, microelectronics, material science and the like.
Background
The spatial resolution of the traditional optical microscope is limited by the diffraction limit of light, can only reach half of the wavelength order of light, and greatly limits the optical microscopeThe range of application of (1). How to realize imaging with higher spatial resolution has been one of the important research topics in the field of optical microscopy. At the end of the twentieth century, the super-resolution fluorescence microscopic imaging technology breaks the limitation of optical diffraction, so that the human can spy on the microscopic biological world at the nanometer level, and an unprecedented tool is provided for mysterious exploration of human life. Overcoming the diffraction limit is essential in enabling the system to distinguish between fluorescent molecules in the diffraction limited region and can generally be achieved by two types of methods. The first category of methods achieves the goal of distinguishing between different fluorescent molecules by randomly activating and localizing a Single fluorescent Molecule within a diffraction limited region at different time points, including Photoactivated Localization Microscopy (PALM) and random Optical Reconstruction Microscopy (STORM), both collectively referred to as Single Molecule Localization Microscopy (SMLM). The second category is the differentiation of fluorescent molecules in diffraction-limited regions by modulating their Emission signal with a special illumination field, including Stimulated Emission Depletion (STED) [5 ]]And Super-resolution Structured Illumination Microscopy (SR-SIM). The highest resolution of the current super-resolution fluorescence microscopic imaging technology is close to the resolution level of an electron microscope, a powerful tool is provided for modern biomedicine, and related researches are pushed to a new depth. Among many super-resolution imaging methods, the SIM has the highest imaging rate and the lowest excitation power density (-1W/cm)2) Therefore, the dynamic super-resolution observation can be carried out for a long time. In addition, the linear SIM is compatible with the traditional fluorescent molecules and fluorescent dyes, special optical switch dyes or proteins are not needed, and the application range of super-resolution imaging is greatly expanded. These advantages make SIM attractive for dynamic behavior observation of organelles, biological macromolecules and assemblies thereof. However, the existing SIM generally uses the stripe structure light, and this illumination method makes a lot of redundant illumination in the imaging process, thereby greatly increasing the phototoxicity of the system, and being very disadvantageous to the living body imaging. In addition, SIM based on stripe structure light illumination is in the imaging processThe method not only needs to translate and rotate the stripes, but also needs to quickly and precisely control the polarization state of the light beam in the switching process, so that the construction cost of the system is greatly increased.
Disclosure of Invention
Aiming at the problems of high phototoxicity, complex system, high construction cost and the like of the current fringe structure light illumination super-resolution microscopy method, the invention provides a super-resolution imaging method (square lattice SIM method for short) utilizing square lattice structure light illumination, the phototoxicity of the super-resolution imaging method is reduced by one time compared with the traditional method, rotation and polarization control are not needed in the imaging process, and the construction cost and the construction difficulty of the system can be greatly reduced.
Meanwhile, the invention also provides a system and a computer readable storage medium for realizing the super-resolution imaging method by utilizing the square lattice structured light illumination.
The technical solution of the invention is as follows:
a super-resolution imaging method utilizing tetragonal lattice structured light illumination comprises the following steps under the condition of linear excitation response:
step 1) generation and phase shift of lattice structure light field:
the light source is used for lighting, and after being modulated by the light field modulation device, a square lattice structured light field is formed on the sample plane; the intensity of the square lattice structured light field can be expressed in the form of multiplication of sinusoidal fringes in two orthogonal directions, and the distribution of formula (1) is satisfied:
wherein r is the coordinate of a two-dimensional plane, I0Representing the average intensity of the lattice structured light field, m being the degree of modulation in a single direction, k1And k is2Respectively representing wave vectors in two orthogonal directions,andthe phases of the light field in two orthogonal directions respectively;
setting the initial phase of the light field toThe light field modulation device is controlled to carry out phase shift, so that the light field of the square lattice structure moves in two orthogonal directions in a sample plane, each direction is three-step phase shift, the phase shift amount can be selected randomly, and 3 multiplied by 3 light fields of the lattice structure with different phase shifts are generated in total and are used for illuminating and exciting a sample to generate a fluorescence signal;
step 2) acquiring a fluorescence image by an area array digital camera:
after a sample is excited by a plurality of lattice structure illuminating light fields with different phase shifts, the fluorescence images formed on an imaging surface are sequentially recorded by a digital camera sCMOS or EMCCD, and 9 lattice structure illuminating fluorescence images are obtained;
step 3) obtaining a super-resolution image by using a frequency domain reconstruction algorithm:
fourier transform is respectively carried out on the 9 fluorescence images shot in the step 2) to obtain respective frequency spectrums thereof, and then the light intensity average value I of the structured light field is used0Degree of modulation m, spatial frequency k0And (3) obtaining a frequency spectrum by separation, assuming that the optical transfer function of the system is H (k), and translating and superposing the frequency spectrum components obtained by separation to obtain a spread spectrumThen, the optical transfer function of the system is H (k) to carry out translation and superposition to obtain an expanded optical transfer functionThereafter using the obtained spread spectrumAnd extended optical transfer functionAnd (3) completing wiener deconvolution operation to obtain a final super-resolution image:
wherein A (k) is an apodization function, k represents a two-dimensional coordinate of the spectrum space, and α is a wiener filter parameter, assuming kdFor frequencies corresponding to the maximum range of the spread spectrum, the apodization function is expressed as
Further limiting, the step (3) is specifically:
step 3.1) Fourier transform is respectively carried out on the 9 fluorescence images shot in the step 2) to obtain respective frequency spectrums thereof, and the frequency spectrums are respectively recorded as Wherein k represents a two-dimensional coordinate of the spectrum space;
step 3.2) light intensity average value I according to the structured light field0Degree of modulation m, spatial frequency k0The frequency spectrum shown in formula (2) can be obtained by separation, and is respectively recorded as:
wherein
The matrix P in equation (2) is a 9 x 9 matrix, each row is similar in form, only the phase terms are different,sequentially taking values according to the method in the step 1), wherein the total number of the values is 9 different values which can be recorded as
Step 3.3) assuming that the optical transfer function of the system is H (k), translating and superposing the 9 spectrum components obtained in the step 3.2) to obtain a spread spectrumExpressed as:
step 3.4) translating and superposing the optical transfer function of the system to obtain an expanded optical transfer functionExpressed as:
step 3.5) of using the spread spectrum obtained in step 3.3) and step 3.4)And extended optical transfer functionAnd (3) completing wiener deconvolution operation to obtain a final super-resolution image:
where α is the wiener filter parameter, A (k) is the apodization function, assuming k isdFor frequencies corresponding to the maximum range of the spread spectrum, the apodization function is then expressed as
Further limiting, the phase shift is performed by controlling the optical field modulation device in the step (1), specifically: the lattice-like grating accomplishes the translation operation by using a moving high-precision two-dimensional piezoelectric translation stage.
Further limiting, the step (1) is specifically as follows:
(1.1) illuminating by a laser light source or an LED, modulating by a Spatial Light Modulator (SLM) or a Digital Micromirror Device (DMD) by utilizing a four-beam interference or projection method, and then mutually interfering at a focal plane to form a square lattice structured light field, wherein the intensity of the square lattice structured light field can be expressed in a form of multiplication of sinusoidal fringes in two orthogonal directions, and the distribution of the formula (1) is satisfied:
wherein r is the coordinate of a two-dimensional plane, I0Representing the average intensity of the structured light field in the form of a lattice, m being the degree of modulation in a single direction, k1And k is2Respectively representing wave vectors in two orthogonal directions,andthe phases of the light field in two orthogonal directions respectively;
(1.2) performing equal-interval phase shift or non-equal-interval phase shift by controlling a Spatial Light Modulator (SLM) or a digital micro-mirror device (DMD).
The application also provides a super-resolution imaging system illuminated by the square lattice structure light, which comprises a processor and a memory, wherein the memory stores a computer program, and the computer program executes the method in the step 3) in the super-resolution imaging method illuminated by the square lattice structure light when running in the processor.
The present application further provides a computer-readable storage medium storing a computer program, which when executed, implements the method of step 3) in the above super-resolution imaging method using tetragonal lattice structured light illumination.
Compared with the prior art, the invention has the advantages that:
compared with the common stripe structure light, the tetragonal structure light has lower light dose under the same peak intensity, so that the phototoxicity of the system can be greatly reduced, and living cells can be observed for a longer time. In addition, only phase shift is needed to be carried out on the illumination pattern in the imaging process, and rotation is not needed, so that polarization control in the imaging process is greatly simplified, the complexity of the system can be reduced, and the construction cost of the system is effectively reduced.
Drawings
FIG. 1 is a light path diagram of an interferometric lattice SIM super-resolution microscope system based on spatial light modulator SLM modulation and laser illumination;
the reference numbers in the figures are: the system comprises a 1-laser illumination source, a 2-polarizing beam splitter, a 3-half wave plate, a 4-spatial light modulator SLM, a 5-quarter wave plate, 6, 8 and 9-lenses, 7-specially designed spatial filter, 10-dichroic mirror, 11-reflector, 12-objective lens, 13-sample and objective table, 14-emission filter, 15-barrel lens and 16-area array digital camera.
FIG. 2 is a light path diagram of an interferometric lattice SIM super-resolution microscope system based on lattice point diffraction grating and laser illumination;
the reference numbers in the figures are: 1-laser illumination source, 2-lattice point diffraction grating, 3-quarter wave plate, 4, 6, 7-lens, 5-specially designed spatial filter, 8-dichroic mirror, 9-reflector, 10-objective lens, 11-sample and objective table, 12-emission filter, 13-tube lens and 14-area array digital camera.
FIG. 3 is a light path diagram of a projection type lattice SIM super-resolution microscope system based on digital micromirror DMD modulation and LED illumination;
the reference numbers in the figures are: the system comprises a light source 1-an LED illumination light source, a 2-condenser, a 3-total internal reflection beam splitter prism, a 4-digital micromirror device, a 5-collimating lens, a 6-exciting light filter, a 7-dichroic mirror, an 8-reflector, a 9-microscope objective, a 10-sample and objective table, an 11-emitting light filter, a 12-tube lens and a 13-area array digital camera.
FIG. 4 is a light path diagram of a projection type lattice SIM super-resolution microscope system based on lattice point diffraction grating and LED illumination;
the reference numbers in the figures are: 1-LED lighting source, 2-condenser, 3-lattice diffraction grating, 4-collimating lens, 5-exciting light filter, 6-dichroic mirror, 7-reflector, 8-microscope objective, 9-sample and objective table, 10-emitting light filter, 11-tube lens and 12-area array digital camera.
FIG. 5 is a graph comparing the intensity distribution of a fringe structure light field and a square lattice structure light field; (a) the intensity distribution of the fringe light field; (b) intensity distribution of a tetragonal lattice light field.
FIG. 6 is an original image and spread spectrum under illumination with a square lattice structure; (a) original images collected under illumination of a square lattice structure; (b) the frequency spectrum corresponding to the original image; (c) the spread spectrum range obtained after spectrum separation, shift and splicing.
FIG. 7 is a wide field illumination image and a square lattice SIM super-resolution image contrast image taken by the same system; (a) a wide field illumination image; (b) and obtaining a super-resolution image by using the square lattice SIM.
Detailed Description
The invention is further described with reference to the following figures and specific embodiments.
The method can be implemented after the mainstream SIM super-resolution microscope system is improved, and comprises an interference type square lattice SIM super-resolution microscope system based on SLM modulation and laser illumination, a projection type square lattice SIM super-resolution microscope system based on DMD modulation and LED illumination, a projection type square lattice SIM super-resolution microscope system based on lattice diffraction grating and LED illumination and the like.
An interferometric lattice illumination SIM super-resolution microscope system based on spatial light modulator SLM modulation and laser illumination is shown in figure 1: the device comprises a laser illumination light source 1 after beam expansion and collimation, a beam splitter 2 arranged after beam expansion and collimation laser beams, a half-wave plate 3 and a spatial light modulator 4 which are sequentially arranged on a transmission light path of the polarization beam splitter 2, a quarter-wave plate 5 and a lens 6 which are arranged on a reflection light path of the polarization beam splitter 2, a spatial filter 7 arranged at the rear end of the lens 6, a telescope system which is arranged behind the spatial filter 7 and consists of a lens 8 and a lens 9, a dichroic mirror 10 arranged behind the telescope system, a microscope objective 12 and a sample and objective table 13 which are arranged on a transmission light path of the dichroic mirror 10, a transmitting optical filter 14 and a barrel lens 15 which are arranged on the reflection light path of the dichroic mirror 10, and a planar array digital camera 16 arranged behind the barrel lens 15. The laser light source can be a continuous laser or a pulse laser; can be a single wavelength laser, a multi-wavelength laser, a supercontinuum laser, etc. The spatial light modulator 6 is a reflective ferroelectric liquid crystal spatial light modulator. The light path is formed by improving a main stream of a lighting microscope based on a stripe structure, and the main difference from the traditional lighting microscope based on the stripe structure is as follows: the spatial light modulator is loaded with a dot matrix pattern instead of a stripe pattern; the switching of the polarization state is not needed in the imaging process; stripe rotation is not needed in the imaging process; the distribution of apertures in the spatial filter is different (as shown in the inset in figure 1). The great advantage of not requiring polarization switching and not requiring fringe rotation provides the possibility of further simplification of the optical path.
As an optional light path configuration, the interferometric lattice SIM super-resolution microscope system based on the lattice diffraction grating and the laser illumination shown in FIG. 2 can greatly reduce the complexity and the construction cost of the system, and does not significantly sacrifice the imaging speed and the imaging effect of the system. An interferometric lattice SIM super-resolution microscope system based on lattice point diffraction grating and laser illumination is shown in figure 2: the device comprises a laser illumination light source 1 after beam expansion and collimation, a two-dimensional lattice point grating 2 arranged after beam expansion and collimation laser beams, a quarter wave plate 3 and a lens 4 which are sequentially arranged behind the lattice point grating 2, a spatial filter 5 arranged at the rear end of the lens 4, a telescope system which is arranged behind the spatial filter 5 and consists of a lens 6 and a lens 7, a dichroic mirror 8 arranged behind the telescope system, a silver mirror 9 micro-objective lens 10 and a sample and objective table 11 which are arranged on a transmission light path of the dichroic mirror 8, a transmitting optical filter 12 and a barrel lens 13 which are arranged on a reflection light path of the dichroic mirror 8, and a planar array digital camera 14 arranged behind the barrel lens 13. The two-dimensional lattice-point grating 2 may be an amplitude grating or a phase grating, and its amplitude or phase distribution is shown in the inset in fig. 2. The laser light source can be a continuous laser or a pulse laser; can be a single wavelength laser, a multi-wavelength laser, a supercontinuum laser, etc.
In addition, there are two optical path configurations for generating a lattice illumination light field based on projection, including: a projection type lattice SIM super-resolution microscope system based on digital micromirror DMD modulation and LED illumination (shown in FIG. 3) and a projection type lattice SIM super-resolution microscope system based on lattice point diffraction grating and LED illumination (shown in FIG. 4).
Wherein, the projection type lattice SIM super-resolution microscope system based on digital micromirror device DMD modulation and LED illumination is shown in FIG. 3: the device comprises an LED light source 1, a condenser 2 arranged behind the light source, a structured light generation module which is arranged behind the condenser 2 and consists of a total internal reflection beam splitter prism 3 and a digital micromirror device 4, a collimating lens 5 and an excitation light filter 6 which are sequentially arranged on a transmission light path of the structured light generation module, a dichroic mirror 7 arranged behind the excitation light filter 5, a reflecting mirror 8 arranged on a transmission light path of the dichroic mirror 7, a microscope objective 9 and a sample and objective table 10 which are arranged behind the reflecting mirror 8, a transmission light filter 11 and a barrel lens 12 which are sequentially arranged on a reflection light path of the dichroic mirror 7, and an area array digital camera 13 arranged behind the barrel lens 12. The LED light source 1 may be a single-band or multi-band LED light source, and the band of the filter set composed of the excitation light filter 6, the dichroic mirror 7, and the emission light filter 11 needs to be matched with the band of the LED light source 1. In addition, by removing the excitation-light filter 6 and the emission-light filter 11 and replacing the dichroic mirror 7 with a beam splitter, reflective imaging can be performed.
The light path of the projection type lattice SIM super-resolution microscope system based on the lattice point diffraction grating and LED illumination is shown in figure 4: the device comprises an LED light source 1, a condenser lens 2 arranged behind the light source, a lattice point diffraction grating 3 arranged behind the condenser lens 2, a collimating lens 4 and an excitation light filter 5 which are sequentially arranged behind the lattice point diffraction grating 3, a dichroic mirror 6 arranged behind the excitation light filter 5, a reflecting mirror 7 arranged on a transmission light path of the dichroic mirror 6, a microscope objective 8 and a sample and objective table 9 which are arranged behind the reflecting mirror 7, a transmitting light filter 10 and a barrel lens 11 which are sequentially arranged on a reflection light path of the dichroic mirror 6, and an area array digital camera 12 arranged behind the barrel lens 11. The LED light source 1 may be a single-band or multi-band LED light source, and the band of the filter set composed of the excitation light filter 5, the dichroic mirror 6, and the emission light filter 10 needs to be matched with the band of the LED light source 1. In addition, by removing the excitation light filter 5 and the emission light filter 10 and replacing the dichroic mirror 6 with a beam splitter, reflective imaging can be performed.
In addition, it is proved by experiments that under the same illumination peak value, the illumination dose of the lattice illumination light field is half of that of the traditional stripe structure illumination, and the intensity distribution of the lattice illumination light field is shown in fig. 5. By contrast, conventional stripe-structured lighting is uniformly illuminated along the stripes, whereas lattice-structured lighting suffers from bright-dark fluctuations, so that the total light dose is significantly lower than that of stripe lighting. For the case of a modulation depth of 1, the light field distributions of the stripe structure illumination and the lattice structure illumination, respectively, can be represented as follows:
both have illumination peaks of I0. Integrating the two equations on the focal plane can obtain the ratio of the two equations as 2: 1. that is, under the same illumination peak, the illumination dose of the lattice structure illumination is half of that of the stripe structure illumination, so that compared with the common stripe structure light, the tetragonal structure light of the present application has a lower light dose under the same peak intensity, can greatly reduce the phototoxicity of the system, can observe living cells for a longer time, and can be widely applied to the intensive research in the fields of biology, medicine, microelectronics, material science, and the like.
Example 1
The embodiment of the method for acquiring the super-resolution image by the interferometric lattice illumination SIM super-resolution microscope system based on the SLM modulation and the laser illumination is realized by the following steps:
The intensity of the lattice structure light field can be expressed in the form of multiplication of sinusoidal fringes in two orthogonal directions, and the distribution of formula (1) is satisfied:
wherein r is the coordinate of a two-dimensional plane, I0Representing the average intensity of the lattice structured light field, m being the degree of modulation in a single direction, k1And k is2Respectively representing wave vectors in two orthogonal directions,andthe phases of the light field in two orthogonal directions, respectively.
Assuming an initial phase of the light field ofControlling a Spatial Light Modulator (SLM) to move the lattice structure light field in two orthogonal directions in a sample plane by loading and refreshing the translated 9 lattice illumination patterns in square distribution, wherein each direction is three-step phase shift, and for equal-interval phase shift, the movement amount is recorded asThe phase shift amounts of the 9 illumination patterns are sequentially set to (0,0), (2 pi/3, 0), (4 pi/3, 0), (0,2 pi/3), (2 pi/3 ), (4 pi/3, 2 pi/3), (0,4 pi/3), (2 pi/3, 4 pi/3), (4 pi/3 ) and (4 pi/3, 4 pi/3), and are used for illuminating and exciting the sample to generate a fluorescence signal.
wherein
The matrix P in equation (2) is a 9 × 9 matrix, each row is similar in form, and only the phase terms are different.Sequentially taking values according to the method in the step 1), wherein the total number of the values is 9 different values which can be recorded as For a phase shift that is equally spaced apart,
next, assuming that the optical transfer function of the system is h (k), the 9 spectral components obtained in the formula (1) are translated and superimposed to obtain a spread spectrum in the form ofExpressed as:
the spread spectrum corresponds to a spectral range as shown in fig. 6 (c). Then, the optical transfer function is translated and superposed to obtain an expanded optical transfer functionPrepare for wiener deconvolution:
finally, the spread spectrum obtained previously is utilizedAnd extended optical transfer functionAnd (3) completing the wiener deconvolution operation to obtain a super-resolution image of the microtube sample:
where α is the wiener filter parameter, which depends on the signal-to-noise ratio of the image, and A (k) is the apodization function, assuming kdFor frequencies corresponding to the maximum range of the spread spectrum, the apodization function is then expressed as
Fig. 7 is a wide field illumination image and a tetragonal SIM super-resolution image contrast image of microtubules in hela cells obtained by an interferometric lattice illumination SIM super-resolution microscopy system based on spatial light modulator SLM modulation and laser illumination. The experiment used a 100 × microscope objective with a numerical aperture NA of 1.49. Fig. 7(a) is a general wide-field fluorescence image, and fig. 7(b) is a lattice-structured light illumination super-resolution image obtained using the method of the present invention. By comparison, the resolution of the image obtained by the method of the invention is obviously higher than that of the common wide-field image.
Example 2
The embodiment is a method for acquiring a super-resolution image based on an interferometric lattice SIM super-resolution microscope system with a lattice point diffraction grating and laser illumination, which is specifically realized by the following steps:
The intensity of the lattice structure light field can be expressed in the form of multiplication of sinusoidal fringes in two orthogonal directions, and the distribution of formula (1) is satisfied:
wherein r is the coordinate of a two-dimensional plane, I0Representing the average intensity of the lattice structured light field, m being the degree of modulation in a single direction, k1And k is2Respectively representing wave vectors in two orthogonal directions,andthe phases of the light field in two orthogonal directions, respectively.
wherein
The matrix P in equation (2) is a 9 × 9 matrix, each row is similar in form, and only the phase terms are different.Sequentially taking values according to the method in the step 1), wherein the total number of the values is 9 different values which can be recorded as For a phase shift that is equally spaced apart,
next, assuming that the optical transfer function of the system is h (k), the 9 spectral components obtained in the formula (1) are translated and superimposed to obtain a spread spectrum in the form ofExpressed as:
the spread spectrum corresponds to a spectral range as shown in fig. 6 (c). Then, the optical transfer function is translated and superposed to obtain an expanded optical transfer functionPrepare for wiener deconvolution:
finally, the spread spectrum obtained previously is utilizedAnd extended optical transfer functionAnd (3) completing the wiener deconvolution operation to obtain a super-resolution image of the microtube sample:
where α is the wiener filter parameter, which depends on the signal-to-noise ratio of the image, and A (k) is the apodization function, assuming kdFor frequencies corresponding to the maximum range of the spread spectrum, the apodization function is then expressed as
Example 3
The embodiment is a projection type lattice SIM super-resolution microscope system based on a digital micro-mirror device and LED illumination. In addition, the embodiment will explain the implementation of non-equidistant phase shift and the corresponding method for acquiring super-resolution image, which is specifically realized by the following steps:
The intensity of the lattice structure light field can be expressed in the form of multiplication of sinusoidal fringes in two orthogonal directions, and the distribution of formula (1) is satisfied:
wherein r is the coordinate of a two-dimensional plane, I0Representing the average intensity of the lattice structured light field, m being the degree of modulation in a single direction, k1And k is2Respectively representing wave vectors in two orthogonal directions,andthe phases of the light field in two orthogonal directions, respectively.
Assuming an initial phase of the light field ofControlling a Digital Micromirror Device (DMD) to move the lattice structure light field in two orthogonal directions in a sample plane by loading and refreshing the translated 9 lattice illumination patterns in square distribution, wherein each direction is three-step phase shift, and the movement amount is recorded as the non-equidistant phase shiftThe phase shift amount of the 9 illumination patterns is sequentially set to be (0,0), (pi/2, 0), (pi, 0), (0, pi/2), (pi/2 ), (pi, pi/2), (0, pi), (pi/2, pi) and (pi, pi) for illuminating and exciting the sample to generate a fluorescence signal. Assuming that the period of the lattice pattern loaded on the spatial light modulator SLM or the digital micromirror device DMD is 4 pixels, the lattice pattern is shifted in two directions by 1 step, respectively, by the number of pixels in turn (0,0), (1, 0), (2, 0), (0, 1), (1, 1), (2, 1), (0, 2), (1, 2), (2, 2).
wherein
The matrix P in equation (2) is a 9 × 9 matrix, each row is similar in form, and only the phase terms are different.Sequentially taking values according to the method in the step 1), wherein the total number of the values is 9 different values which can be recorded as
For non-equidistant phase shifts, the amount of phase shift may be taken in multiple waysValues, in 1: 1: the phase shift interval of 2 is taken as an example,
next, assuming that the optical transfer function of the system is h (k), the 9 spectral components obtained in the formula (1) are translated and superimposed to obtain a spread spectrum in the form ofExpressed as:
the spread spectrum corresponds to a spectral range as shown in fig. 6 (c). Then, the optical transfer function is translated and superposed to obtain an expanded optical transfer functionPrepare for wiener deconvolution:
finally, the spread spectrum obtained previously is utilizedAnd extended optical transfer functionAnd (3) completing the wiener deconvolution operation to obtain a super-resolution image of the microtube sample:
wherein alpha is wiener filteringParameters, dependent on the signal-to-noise ratio of the image, A (k) is the apodization function, assuming kdFor frequencies corresponding to the maximum range of the spread spectrum, the apodization function is then expressed as
The application also provides a super-resolution imaging system illuminated by the square lattice structure light, which comprises a processor and a memory, wherein a computer program is stored in the memory, and when the computer program runs in the processor, the super-resolution image reconstruction processing method in the step 4 is executed.
The present application also provides a computer-readable storage medium storing a program which, when executed, implements the above-described super-resolution image reconstruction processing method. In some possible embodiments, the invention may also be implemented in the form of a program product comprising program code means for causing a terminal device to carry out the steps according to various exemplary embodiments of the invention described in the method part of the description above, when said program product is run on the terminal device.
A program product for implementing the above method, which may employ a portable compact disc read only memory (CD-ROM) and include program code, may be run on a terminal device, such as a personal computer. However, the program product of the present invention is not limited thereto, and in the present invention, the computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.
The program product may employ any combination of one or more readable media. The readable medium may be a readable signal medium or a readable storage medium. A readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples (a non-exhaustive list) of the readable storage medium include: an electrical connection having one or more wires, a portable disk, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
Claims (5)
1. A super-resolution imaging method utilizing square lattice structured light illumination is characterized by comprising the following steps of:
step 1) generation and phase shift of a square lattice structure light field:
the light source is used for lighting, and after being modulated by the light field modulation device, a square lattice structure light field is formed on the sample plane; the intensity of the square lattice structure light field can be expressed in a form of multiplication of sine stripes in two orthogonal directions, and the distribution of formula 1 is satisfied:
wherein r is the coordinate of a two-dimensional plane, I (r) represents the intensity distribution of the square lattice structure light field, I0Representing the average intensity of the lattice structured light field, m being the degree of modulation in a single direction, k1And k is2Respectively representing wave vectors in two orthogonal directions,andthe phases of the light field in two orthogonal directions respectively;
setting the initial phase of the light field toThe optical field modulation device is controlled to carry out phase shift, so that the optical field with the square lattice structure moves along two orthogonal directions in a sample plane, each direction is three-step phase shift, and the phase shift amount can be randomSelecting to generate 3 × 3 lattice-shaped structure light fields with different phase shifts for illuminating and exciting the sample to generate a fluorescence signal;
step 2) acquiring a fluorescence image by an area array digital camera:
after a sample is excited by a plurality of square lattice structure light fields with different phase shifts, the fluorescence images formed on an imaging surface are sequentially recorded by a digital camera sCMOS or EMCCD, and 9 fluorescence images of square lattice structure light field illumination are obtained in total;
step 3) obtaining a super-resolution image by using a frequency domain reconstruction algorithm:
fourier transform is respectively carried out on the 9 fluorescence images shot in the step 2) to obtain respective frequency spectrums thereof, and then the light intensity average value I of the structured light field is used0Degree of modulation m, spatial frequency k0And (3) obtaining a frequency spectrum by separation, assuming that the optical transfer function of the system is H (k), and translating and superposing the frequency spectrum components obtained by separation to obtain a spread spectrumThen, the optical transfer function of the system is H (k) to carry out translation and superposition to obtain an expanded optical transfer functionThereafter using the obtained spread spectrumAnd extended optical transfer functionAnd (3) completing wiener deconvolution operation to obtain a final super-resolution image:
wherein, the ImageSRRepresenting a super-resolution image obtained by a frequency domain reconstruction algorithm, ift representing an inverse Fourier transform operationAs follows, A (k) is an apodization function, k represents a two-dimensional coordinate of the spectral space, α is a wiener filter parameter, assuming k isdFor frequencies corresponding to the maximum range of the spread spectrum, the apodization function is expressed as
The step 3) is specifically as follows:
step 3.1) Fourier transform is respectively carried out on the 9 fluorescence images shot in the step 2) to obtain respective frequency spectrums thereof, and the frequency spectrums are respectively recorded as Wherein k represents a two-dimensional coordinate of the spectrum space;
step 3.2) light intensity average value I according to the structured light field0Degree of modulation m, spatial frequency k0The frequency spectrums shown in formula 2 can be obtained by separation, and are respectively recorded as:
wherein
The matrix P in equation 2 is a 9 x 9 matrix, each row is similar in form, only the phase terms are different,sequentially taking values according to the method in the step 1), wherein the total number of the values is 9 different values which can be recorded as
Step 3.3) assuming that the optical transfer function of the system is H (k), translating and superposing the 9 spectrum components obtained in the step 3.2) to obtain a spread spectrumExpressed as:
step 3.4) translating and superposing the optical transfer function of the system to obtain an expanded optical transfer functionExpressed as:
step 3.5) of using the spread spectrum obtained in step 3.3) and step 3.4)And extended optical transfer functionAnd (3) completing wiener deconvolution operation to obtain a final super-resolution image:
where α is the wiener filter parameter, A (k) is the apodization function, assuming k isdFor frequencies corresponding to the maximum range of the spread spectrum, the apodization function is then expressed as
2. The super-resolution imaging method using square lattice structured light for illumination according to claim 1, wherein the phase shift is performed by controlling a light field modulation device in step 1), specifically: the lattice-like grating accomplishes the translation operation by using a moving high-precision two-dimensional piezoelectric translation stage.
3. The super-resolution imaging method illuminated by square lattice structured light according to claim 1, wherein the step 1) is specifically as follows:
step 1.1) is illuminated by a laser light source or an LED, and after being modulated by a Spatial Light Modulator (SLM) or a Digital Micromirror Device (DMD) by utilizing a four-beam interference or projection method, the light beams interfere with each other at a focal plane to form a square lattice structure light field, wherein the intensity of the square lattice structure light field can be expressed in a form of multiplication of sine fringes in two orthogonal directions, and the distribution of a formula 1 is satisfied:
wherein r is the coordinate of a two-dimensional plane, I0Representing the average intensity of a light field with a square lattice structure, m being the modulation in a single direction, k1And k is2Respectively representing wave vectors in two orthogonal directions,andthe phases of the light field in two orthogonal directions respectively;
step 1.2) performing equal-interval phase shift or non-equal-interval phase shift by controlling a Spatial Light Modulator (SLM) or a Digital Micromirror Device (DMD).
4. The utility model provides an utilize super resolution imaging system of square lattice structure light illumination which characterized in that: including processor and memory, its characterized in that: the memory stores a computer program which, when executed on the processor, performs the method of step 3) of the method of claim 1 for super-resolution imaging illuminated with tetragonal lattice structure light.
5. A computer-readable storage medium characterized by: a computer program is stored which, when executed, implements the method of step 3) in the super-resolution imaging method using square lattice structured light illumination of claim 1.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202010397842.0A CN111458318B (en) | 2020-05-12 | 2020-05-12 | Super-resolution imaging method and system utilizing square lattice structure light illumination |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202010397842.0A CN111458318B (en) | 2020-05-12 | 2020-05-12 | Super-resolution imaging method and system utilizing square lattice structure light illumination |
Publications (2)
Publication Number | Publication Date |
---|---|
CN111458318A CN111458318A (en) | 2020-07-28 |
CN111458318B true CN111458318B (en) | 2021-06-22 |
Family
ID=71677787
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202010397842.0A Active CN111458318B (en) | 2020-05-12 | 2020-05-12 | Super-resolution imaging method and system utilizing square lattice structure light illumination |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN111458318B (en) |
Families Citing this family (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN114076750B (en) * | 2020-08-20 | 2024-05-10 | 深圳华大智造科技股份有限公司 | Super-resolution imaging device and method, biological sample identification system and identification method |
CN112230412B (en) * | 2020-10-10 | 2022-08-05 | 中国科学院广州生物医药与健康研究院 | Quick structured light illumination super-resolution microscope |
CN116490812A (en) * | 2020-12-11 | 2023-07-25 | 深圳华大智造科技股份有限公司 | Super-resolution detection system and super-resolution detection method |
CN113670878B (en) * | 2021-08-25 | 2022-09-27 | 西安交通大学 | Super-resolution structured light illumination microscopic imaging method based on space-frequency domain hybrid reconstruction |
Citations (16)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2005087460A1 (en) * | 2004-03-16 | 2005-09-22 | Kappa Packaging B.V. | Apparatus, method and system for detecting the width and position of adhesives applied to a substrate |
WO2005096115A1 (en) * | 2004-03-31 | 2005-10-13 | Forskningscenter Risø | Generation of a desired three-dimensional electromagnetic field |
CN102540446A (en) * | 2011-12-28 | 2012-07-04 | 中国科学院西安光学精密机械研究所 | High-speed structure illumination optical microscope system and method based on digital micromirror device |
WO2015077926A1 (en) * | 2013-11-27 | 2015-06-04 | 苏州大学 | Super-resolution microscopy imaging method and system for continuously adjustable structured light illumination |
JP2016507078A (en) * | 2013-01-25 | 2016-03-07 | ザ トラスティーズ オブ コロンビア ユニバーシティ イン ザ シティオブ ニューヨーク | Depth of field 3D imaging SLM microscope |
CN105486638A (en) * | 2015-11-30 | 2016-04-13 | 哈尔滨工业大学 | Super-resolution array scanning structure light illumination imaging apparatus and imaging method thereof |
CN105589188A (en) * | 2016-03-10 | 2016-05-18 | 清华大学 | Imaging method and imaging device of structured illumination microscope |
CN105759440A (en) * | 2016-04-29 | 2016-07-13 | 西安电子科技大学 | Random scattering optical super-diffraction limit imaging method based on structured illumination |
CN106770147A (en) * | 2017-03-15 | 2017-05-31 | 北京大学 | A kind of Structured Illumination super-resolution micro imaging system and its imaging method |
KR20170079153A (en) * | 2015-12-30 | 2017-07-10 | 인천대학교 산학협력단 | Method for decoding line structured light patterns by using fourier analysis |
CN106990519A (en) * | 2017-05-12 | 2017-07-28 | 中国科学院苏州生物医学工程技术研究所 | Structured Illumination micro imaging system |
CN108181235A (en) * | 2017-11-18 | 2018-06-19 | 苏州国科医疗科技发展有限公司 | A kind of parallel micro imaging systems of STED based on homogeneous texture optical illumination |
CN208399380U (en) * | 2018-06-07 | 2019-01-18 | 中国科学院苏州生物医学工程技术研究所 | A kind of Structured Illumination super-resolution micro imaging system |
CN110823372A (en) * | 2019-10-14 | 2020-02-21 | 中国科学院生物物理研究所 | Structured light illumination multi-focal-plane three-dimensional super-resolution imaging system |
CN111028280A (en) * | 2019-12-09 | 2020-04-17 | 西安交通大学 | # -shaped structured light camera system and method for performing scaled three-dimensional reconstruction of target |
CN111077121A (en) * | 2019-12-06 | 2020-04-28 | 中国科学院西安光学精密机械研究所 | Rapid method and system for directly reconstructing structured light illumination super-resolution image in space domain |
Family Cites Families (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110954521B (en) * | 2019-12-18 | 2022-07-05 | 深圳大学 | Wide-field super-resolution microscopic imaging method and system thereof |
-
2020
- 2020-05-12 CN CN202010397842.0A patent/CN111458318B/en active Active
Patent Citations (16)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2005087460A1 (en) * | 2004-03-16 | 2005-09-22 | Kappa Packaging B.V. | Apparatus, method and system for detecting the width and position of adhesives applied to a substrate |
WO2005096115A1 (en) * | 2004-03-31 | 2005-10-13 | Forskningscenter Risø | Generation of a desired three-dimensional electromagnetic field |
CN102540446A (en) * | 2011-12-28 | 2012-07-04 | 中国科学院西安光学精密机械研究所 | High-speed structure illumination optical microscope system and method based on digital micromirror device |
JP2016507078A (en) * | 2013-01-25 | 2016-03-07 | ザ トラスティーズ オブ コロンビア ユニバーシティ イン ザ シティオブ ニューヨーク | Depth of field 3D imaging SLM microscope |
WO2015077926A1 (en) * | 2013-11-27 | 2015-06-04 | 苏州大学 | Super-resolution microscopy imaging method and system for continuously adjustable structured light illumination |
CN105486638A (en) * | 2015-11-30 | 2016-04-13 | 哈尔滨工业大学 | Super-resolution array scanning structure light illumination imaging apparatus and imaging method thereof |
KR20170079153A (en) * | 2015-12-30 | 2017-07-10 | 인천대학교 산학협력단 | Method for decoding line structured light patterns by using fourier analysis |
CN105589188A (en) * | 2016-03-10 | 2016-05-18 | 清华大学 | Imaging method and imaging device of structured illumination microscope |
CN105759440A (en) * | 2016-04-29 | 2016-07-13 | 西安电子科技大学 | Random scattering optical super-diffraction limit imaging method based on structured illumination |
CN106770147A (en) * | 2017-03-15 | 2017-05-31 | 北京大学 | A kind of Structured Illumination super-resolution micro imaging system and its imaging method |
CN106990519A (en) * | 2017-05-12 | 2017-07-28 | 中国科学院苏州生物医学工程技术研究所 | Structured Illumination micro imaging system |
CN108181235A (en) * | 2017-11-18 | 2018-06-19 | 苏州国科医疗科技发展有限公司 | A kind of parallel micro imaging systems of STED based on homogeneous texture optical illumination |
CN208399380U (en) * | 2018-06-07 | 2019-01-18 | 中国科学院苏州生物医学工程技术研究所 | A kind of Structured Illumination super-resolution micro imaging system |
CN110823372A (en) * | 2019-10-14 | 2020-02-21 | 中国科学院生物物理研究所 | Structured light illumination multi-focal-plane three-dimensional super-resolution imaging system |
CN111077121A (en) * | 2019-12-06 | 2020-04-28 | 中国科学院西安光学精密机械研究所 | Rapid method and system for directly reconstructing structured light illumination super-resolution image in space domain |
CN111028280A (en) * | 2019-12-09 | 2020-04-17 | 西安交通大学 | # -shaped structured light camera system and method for performing scaled three-dimensional reconstruction of target |
Non-Patent Citations (5)
Title |
---|
A protocol for structured illumination microscopy with minimal reconstruction artifacts;Junchao Fan 等;《Biophysics Reports》;20190419;第5卷(第2期);第80-90页 * |
Fast and robust phase-shift estimation in two-dimensional structured illumination microscopy;Jorge Sola-Pikabea 等;《PLOS ONE》;20190816;第14卷(第8期);第e0221254页 * |
Polarization control methods in structured illumination microscopy;Zhao Tian-Yu等;《Acta Physica Sinica》;20171231;第66卷(第14期);第148704页 * |
Resolution doubling using confocal microscopy via analogy with structured illumination microscopy;Shinichi Hayashi;《Japanese Journal of Applied Physics》;20160130;第55卷;第082501页 * |
高分辨和超分辨光学成像技术在空间和生物中的应用;姚保利 等;《光子学报》;20111130;第40卷(第11期);第1607-1618页 * |
Also Published As
Publication number | Publication date |
---|---|
CN111458318A (en) | 2020-07-28 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN111458318B (en) | Super-resolution imaging method and system utilizing square lattice structure light illumination | |
US10509217B2 (en) | Bessel beam plane illumination microscope | |
US10721441B2 (en) | Structured plane illumination microscopy | |
CN111077121B (en) | Rapid method and system for directly reconstructing structured light illumination super-resolution image in space domain | |
CN107389631B (en) | High-speed multicolor multi-modal structured light illumination super-resolution microscopic imaging system and method thereof | |
US10247672B2 (en) | Non-linear structured illumination microscopy | |
US10795144B2 (en) | Microscopy with structured plane illumination and point accumulation for imaging and nanoscale topography | |
US8705172B2 (en) | Microscopy method and microscope with enhanced resolution | |
Allen et al. | Structured illumination microscopy for superresolution | |
US20090219607A1 (en) | Method and apparatus for enhanced resolution microscopy of living biological nanostructures | |
CN113670878B (en) | Super-resolution structured light illumination microscopic imaging method based on space-frequency domain hybrid reconstruction | |
JPH08509817A (en) | Case-making and optical cutting for standing-wave microscopes. | |
CN111175259A (en) | Method and apparatus for acceleration of three-dimensional microscopy with structured illumination | |
CN114594588B (en) | Structured light illumination microscopic device and method based on grating projection and SLM phase shift | |
US11947098B2 (en) | Multi-focal light-sheet structured illumination fluorescence microscopy system | |
CN109870441B (en) | Frequency shift-based three-dimensional super-resolution optical section fluorescence microscopic imaging method and device | |
Stemmer et al. | Widefield fluorescence microscopy with extended resolution | |
WO2013176549A1 (en) | Optical apparatus for multiple points of view three-dimensional microscopy and method | |
CN113568294B (en) | Holographic optical tweezers fusion structure light illumination microscopic system and method | |
Enderlein | Advanced fluorescence microscopy | |
Micó et al. | Axial superresolution by synthetic aperture generation | |
Zheng et al. | Resolution enhancement in phase microscopy: A review | |
Yu et al. | Structured Illumination Microscopy | |
CN112525871A (en) | Non-scanning confocal microscopic system based on micro-LED | |
Rodriguez et al. | High-resolution fluorescence microscopy using three-dimensional structured illumination |
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 |