22 results about "Optical sectioning" patented technology

The invention belongs to the technical field of combination of biomedical engineering and intelligent monitoring, and discloses a vibration cutting tool wear state monitoring method suitable for biological soft tissue, which comprises the following steps: S1, executing vibration cutting on the biological soft tissue, and obtaining a three-channel cutting force original signal; s2, inputting the three-channel cutting force original signal into a one-dimensional residual network, and expanding the three-channel cutting force original signal into a multi-feature channel; s3, a channel attention mechanism is applied, and first enhancement is achieved for some feature channels with wear sensitivity; s4, continuing to apply the time attention mechanism, and focusing for the key time interval; s5, regression is carried out to obtain a corresponding cutter flank abrasion loss prediction value; and S6, the real-time state of the cutter is judged. Compared with the prior art, the method has the advantages that the monitoring precision and robustness in a soft tissue cutting application scene can be remarkably improved, and the high quality of subsequent microscopic optical section tomography combined with cutting, the continuity of three-dimensional modeling and the data reliability are correspondingly and effectively guaranteed.

An ophthalmic device and an ophthalmic device control program are provided that are capable of appropriately acquiring three-dimensional information about the anterior segment of the eye while stabilizing the fixation of the subject's eye. [Solution] The fixation target presenting optical system presents a fixation target to the subject's eye. The cross-sectional imaging optical system captures cross-sectional images of the anterior segment by receiving return light from the anterior segment that has been optically sectioned by the imaging light. The moving unit moves an optical unit including the fixation target presenting optical system and the cross-sectional imaging optical system relative to the subject's eye. The control unit can perform a three-dimensional information acquisition process to acquire three-dimensional information about the anterior segment by capturing cross-sectional images of multiple locations on the anterior segment while moving the optical unit and scanning the imaging light. When performing the three-dimensional information acquisition process, the control unit positions the fixation target within a limited area centered on the focal position of the entire lens system of the fixation target presenting optical system, regardless of the refractive power of the subject's eye.

The invention discloses an optical system for high-speed reduction of a dynamic deformation process of a cornea, which realizes high-precision analysis of physical characteristics of the cornea through a high-speed imaging technology, performs error compensation on the physical characteristics and realizes high-precision calculation of intraocular pressure. According to the technical scheme, the optical system comprises a slit lamp light source used for forming a cornea optical slice and ensuring the definition and the contrast ratio of a cornea slice image; the Samm lens is used for shooting a cornea optical section, inclined imaging light path design is adopted, and the depth of field meets the requirement that the cornea section keeps clear imaging in the dynamic process; and the high-speed camera is positioned behind the Chemma lens and is used for receiving the cornea optical slice image imaged by the Chemma lens so as to record the dynamic deformation process of the cornea.

An imaging system for imaging a biological sample or another sample containing fluorescent molecules may include an optical system with a light source emitting light, wherein the light is directed by the optical system to the sample via at least one plane being conjugate to the image plane. The optical source may have an extended radiation pattern, in other words, the radiation beam may have an extent in the x- and y- planes, rather than a point source. The extent of the illumination region in x and y may be based on and matched to the detector area onto which the radiation may be imaged, preferably a TDI detector. This novel system may include genomics, proteomics and transcriptomics work flows.

The invention relates to the technical field of oral cavity imaging, in particular to an intelligent electronic tongue depressor and a high-precision three-dimensional oral cavity imaging method. According to the structural features of different frames of optical slice images, the local deformation possibility of each matching feature point in each frame of optical slice image is obtained, and matching error feature points forming a deformation target area are screened out; for any frame of optical slice image, according to the local deformation possibility of different matching feature points in the deformation target area, the positions of the different matching feature points in the three-dimensional point cloud model and the change trend of a corresponding moving path when the tongue depressor intersects with the deformation target area, the matching error consistency of the deformation target area on each frame of optical slice image is obtained; and in combination with the point cloud coordinates of the matching error feature points in the deformation target area and the position distribution of the deformation gravity center, obtaining point cloud correction coordinates of the matching error feature points. According to the method, the point cloud correction coordinates of each image deformation area are accurately obtained, and the accuracy of oral cavity three-dimensional model construction is improved.

The application discloses a multispectral imaging system with deep ultraviolet oblique optical slicing capability, comprising a core lens assembly, a coaxial reflector and a guide ring-shaped illumination system; the core lens assembly comprises one or more lens elements; the coaxial reflector is located at the top of the core lens assembly and is arranged around the core lens assembly; the implementation scheme of the guide ring-shaped illumination system comprises a light source and a hollow reflecting surface, a ring-shaped light source and a ring-shaped light guide, the position of the light guide is adapted to the position of the core lens assembly, the position between the light source and the light guide is adapted, oblique illumination of the illumination light including deep ultraviolet is realized by adding the coaxial reflecting surface around the core lens for close-range focusing, and thus oblique illumination is realized, and the coaxial oblique illumination design overcomes the physical limitation of external off-axis light sources and is compatible with high-NA lenses.

Translational rapid ultraviolet-excited sectioning tomography (TRUST) applies ultraviolet (UV) excitation to a sample and images fluorescence and autofluorescence emission for tomographically imaging the sample. Deep-learning neural networks are used to achieve higher imaging speed and imaging resolution. In one use, fluorescence images acquired with relatively low imaging resolution can be transformed into high-resolution images through the first conditional generative adversarial network (cGAN), a super-resolution neural network (e.g., ESRGAN), which is also helpful for reducing the image scanning time. In another use, the second cGAN, such as Pix2Pix, is used to realize virtual optical sectioning to enhance the axial resolution of the imaging system. Compared to the conventional pattern illumination methods (e.g., HiLo microscopy), which need at least two shots for each field of view, the imaging speed is also times higher because only one shot under the uniform-illumination condition of UV irradiation is required.

The invention discloses a three-dimensional compressed sensing reconstruction method based on reset scanning and joint prior. Comprising the following steps: sequentially performing forward scanning and reset scanning by using a compressed sensing three-dimensional imaging system to obtain a compressed frame image stack and an additional frame image stack of a sample, respectively performing pre-reconstruction by using an alternating multiplier method to obtain a compressed frame pre-reconstruction image stack and an additional frame pre-reconstruction image stack, and processing by using a cross-correlation method to obtain a dislocation amount of a reset process; and establishing a joint reconstruction enhanced compressed sensing three-dimensional reconstruction model according to the dislocation amount in the resetting process, and inputting a compressed frame and an additional frame image stack to obtain a reconstructed three-dimensional image. The method disclosed by the invention has good low cost, practicability and acquisition efficiency, the availability of the compressed sensing algorithm on a three-dimensional tissue imaging system such as a light sheet microscope is improved, and a new scheme is provided for low-cost and high-efficiency three-dimensional optical tomography microscopic imaging.

This invention belongs to the technical field of surface morphology measurement, and discloses a method and apparatus for measuring morphology based on pixel-by-pixel high dynamic structured illumination. The method includes: S1: calibrating the DMD and camera to obtain the grayscale response relationship and coordinate mapping relationship between the DMD and the camera; S2: correcting the phase-shifting fringes generated by the DMD using the grayscale response relationship, coordinate mapping relationship, and optical transfer function; S3: projecting the corrected phase-shifting fringes onto the sample surface and acquiring a phase-shifted structured illumination image by the camera; S4: performing slicing imaging on the phase-shifted structured illumination image to extract the three-dimensional morphology of the sample surface. This application can improve the imaging quality of the camera pixel by pixel, and then obtain the three-dimensional morphology of the sample surface by optical slicing multiple high-quality structured illumination images.

The invention relates to the technical field of optical imaging, and provides a wide-field optical section imaging method based on virtual illumination modulation, and the method comprises the steps: obtaining an initial wide-field illumination image and a modulation stripe image of the initial wide-field illumination image, and carrying out the virtual illumination modulation according to the modulation stripe image and the initial wide-field illumination image, obtaining a structural illumination image corresponding to the initial wide-field illumination image, obtaining high-frequency information and low-frequency information corresponding to the initial wide-field illumination image according to the initial wide-field illumination image and the structural illumination image, and obtaining the wide-field illumination image based on weighted fusion of the high-frequency information and the low-frequency information. And obtaining a wide-field optical section tomographic image corresponding to the initial wide-field illumination image. By means of the mode, use of an optical modulation device is avoided, the wide-field optical section tomography effect is achieved only through one initial wide-field illumination image, the wide-field optical section imaging efficiency is improved, the problem that a traditional optical section tomography technology is affected by tissue scattering is solved, and the wide-field optical section imaging quality is improved.

The invention relates to a single viewpoint imaging system for optically sectioning an object from a single viewpoint, comprising: (a) a TPNDBs (tilted pseudo-nondiffracting beams)-type coded phase mask (CPM) configured to receive a light beam passed through the object or reflected therefrom, and to produce TPNDBs directed towards a sensing array; (b) said sensing array configured to record an image formed by said TPNDBs impinged thereon; (c) a processor configured to: (c1) separately cross-correlating said recorded image with at least one point-spread function (PSF) previously acquired or calculated at the same system with the same CPM, each said PSF reflects a point object positioned at one specific longitudinal distance, respectively, from said array; (c2) storing the results of said separate cross-correlations, each such cross-correlation result relates to an image of another section, respectively, of the object; and (c3) uniting all said cross-correlation results to reconstruct a final image of the object.

A nondestructive positioning and imaging method based on a double-helix point spread function (DH-PSF) comprises: utilizing the DH-PSF to phase modulate a target beam transmitted through a scattering medium; performing scanning detection by varying the target's axial defocus, thereby acquiring a plurality of modulated images; evaluating the DH-PSF's positioning capability in a scattering environment using a signal-to-background ratio; calculating the target's three-dimensional position based on the series of modulated images; and performing a deconvolution optical sectioning algorithm on the series of modulated images using a system focal plane (DH-PSF) to obtain a clear structure of the target and the scattering medium, thereby reconstructing the target's three-dimensional distribution within the scattering medium. This method utilizes the DH-PSF's positioning capability in scattering environments and designs a corresponding algorithm based on its high recognition capability to reconstruct a three-dimensional image of the target within the scattering medium, achieving high resolution and a large penetration depth in situ and even within living tissue.

The invention relates to the technical field of image reconstruction, and discloses a cross-modal image reconstruction method and system based on wide field to total internal reflection fluorescence, and a medium. The method comprises the following steps: acquiring an EPI image and a corresponding TIRF image which are registered in the same field of view, and constructing a training data set; a convolutional neural network model with double-branch output is constructed, the wide-field fluorescence image is used as input, features are extracted through a convolutional layer, and then a foreground image and a background image with defocused backgrounds removed are reconstructed and output; carrying out convolution on the foreground image and a predefined point spread function to generate a virtual TIRF image; training the convolutional neural network model to obtain a wide-field fluorescence image reconstruction model; and performing EPI image reconstruction by using the wide-field fluorescence image reconstruction model. According to the method, the optical slice effect and the axial super-resolution capability which are close to those of a TIRF microscope can be obtained only by depending on a single EPI image for the first time, the problems of axial blurring and background of a wide-field image are solved, and the signal-to-noise ratio and the contrast ratio of the image are remarkably improved.

The invention discloses a microscopic fluorescence image deblurring method based on iterative optimization and Gaussian filtering, and relates to the technical field of image processing, and the method comprises the steps: collecting a to-be-processed microscopic fluorescence image, obtaining the image information, and generating a Gaussian filtering convolution kernel through a two-dimensional Gaussian function; performing convolution operation on the to-be-processed microscopic fluorescence image by using a Gaussian filtering kernel to generate an initial smooth image, the initial smooth image being preliminary estimation of image defocus information; the error weight is dynamically adjusted through an iterative optimization algorithm, the initial smooth image is updated until the number of iterations or convergence conditions are met, an optimized smooth image is obtained, and the optimized smooth image is accurate estimation of image defocus information; based on the optimized smooth image, performing deblurring processing through difference operation to obtain a deblurred image; and carrying out normalization processing on the deblurred image, and quantizing the deblurred image into a uint16 format for output. According to the invention, the dependence on high-precision hardware and complex optical elements is overcome, and a high-resolution optical slice imaging effect is realized.

The application discloses a kind of high-efficiency optical sectioning microscopic fluorescence imaging system and method.It includes: multi-wavelength beam combining laser module and single-mode optical fiber, collimating lens, first mirror, light splitting module, first optical path, second optical path, speckle generation module, fast switching module, second mirror, beam expander, third mirror, focusing lens, fluorescence module, tube lens, camera, objective lens, motorized displacement stage, condenser, illumination source and the like composition.For the current HiLo microscopic imaging speckle homogenization complex, uniform illumination and speckle illumination high-speed switching difficult, low light energy utilization efficiency and other technical problems;The application obtains the 2 images required for imaging by fast switching module and camera linkage efficiently;Compact structure design, effective utilization of system incident excitation light.The optical sectioning microscopic fluorescence imaging system of the application can realize the optical tomography of target sample efficiently and conveniently, and well expands the practical application range of HiLo in high-speed imaging.

The invention relates to the technical field of information optics, in particular to a near-infrared two-zone line scanning optical tomography microscopic imaging system and method based on a virtual digital slit, and the system comprises a near-infrared two-zone line scanning optical tomography microscopic imaging module. And the virtual digital slit image reconstruction module is used for reconstructing an image acquired by the near-infrared two-zone line scanning optical tomography microscopic imaging module. A digital micromirror device and a digital line array are introduced, exciting light is modulated by means of the high-speed signal modulation capacity of a DMD, the digital line array is used for replacing a physical slit in a traditional line scanning system, generation and rapid scanning of a parallel line array exciting light field are achieved, and the flexibility and imaging speed of the system are greatly improved; a virtual digital slit image reconstruction module is introduced to filter background noise, so that optical slicing is realized; a near-infrared two-area window is introduced into a line scanning optical tomography microscopic imaging system, so that the imaging depth, the resolution ratio and the signal-to-noise ratio of the system are further improved.

This ophthalmic device according to an exemplary embodiment comprises an illumination system and a plurality of imaging systems. The illumination system is configured to project illumination light onto an anterior segment of an eye under examination. Each imaging system is configured to satisfy the Scheimpflug condition. The plurality of imaging systems is configured to generate a plurality of items of data by capturing images in a state in which the respective imaging systems are focused on a plurality of different regions in an optical section formed by the illumination light.

An imaging system for imaging a biological sample or another sample containing fluorescent molecules may include an optical system with a light source emitting light, wherein the light is directed by the optical system to the sample via at least one plane being conjugate to the image plane. The optical source may have an extended radiation pattern, in other words, the radiation beam may have an extent in the x- and y-planes, rather than a point source. The extent of the illumination region in x and y may be based on and matched to the detector area onto which the radiation may be imaged, preferably a TDI detector. This novel system may include genomics, proteomics and transcriptomics work flows.

The present application relates to the technical field of oral imaging, in particular to an intelligent electronic tongue depressor and a high-precision three-dimensional oral imaging method. According to the structural characteristics of different frames of optical slice images, the local deformation possibility of each matching feature point in each frame of optical slice image is obtained, and the matching error feature points constituting the deformation target area are screened out. For any frame of optical slice image, according to the local deformation possibility of different matching feature points in the deformation target area, the position in the three-dimensional point cloud model, and the change trend of the corresponding moving path when the tongue depressor intersects with the deformation target area, the matching error consistency of the deformation target area on each frame of optical slice image is obtained. Combined with the position distribution of the point cloud coordinates of the matching error feature points in the deformation target area and the deformation center, the point cloud correction coordinates of the matching error feature points are obtained. The present application accurately obtains the point cloud correction coordinates of each image deformation area, and improves the accuracy of the construction of the three-dimensional oral model.

The application discloses a kind of structure light illumination super-resolution microscopic imaging methods based on four-beam interference.The method uses four-beam coherent interference illumination design, and combines the composite frequency domain filtering strategy based on three-dimensional OTF physical constraint, under the premise that no need to carry out any hardware modification to the light path of traditional interference structure light microscope (SIM) system, first realize the lateral two times super-resolution improvement and excellent optical sectioning ability, effectively overcome the off-focus background interference problem faced in thick sample imaging in the prior art.In addition, the application introduces an illumination parameter estimation algorithm based on principal component analysis (PCA), while significantly reducing the computational complexity, further improves the accuracy and stability of parameter estimation.Experimental results show that the method can high-resolution, high-fidelity, high-robustness and high-efficiency imaging for thick living cell samples, break through the limitation that traditional two-dimensional super-resolution SIM is mainly suitable for thin living cell imaging, has wide application potential and practical value.

The application discloses a kind of based on wavelength multiplexing super surface fast three-dimensional microscopic imaging method and system, system includes: light source module, light modulation module, sample stage and light collection module are arranged along the direction of light beam propagation;The light modulation module is modulated into the sinusoidal stripe distribution structure illumination light required by HiLo microscopic imaging with phase flat uniform illumination light with double-wavelength light beam and projects illumination light to sample stage;The light collection module realizes sample image acquisition on different axial planes and data transmission;According to HiLo fusion algorithm, a plurality of optical section images are combined to form three-dimensional microscopic imaging.The application realizes the snapshot of HiLo optical section microscopic imaging, improves the imaging speed and stability;Realize the three-dimensional microscopic imaging of sample to be measured;With small volume, compact structure and the advantages such as being easy to move, can satisfy the demand of instant detection under complex environment such as field environment, remote area.

The application discloses a microscopic fluorescence image deblurring method based on iterative optimization and Gaussian filtering, and relates to the technical field of image processing.The method comprises the following steps: collecting a to-be-processed microscopic fluorescence image and obtaining image information, generating a Gaussian filtering convolution kernel through a two-dimensional Gaussian function; performing convolution operation on the to-be-processed microscopic fluorescence image by using the Gaussian filtering kernel, generating an initial smoothing image, and the initial smoothing image being a preliminary estimation of image defocus information; dynamically adjusting an error weight through an iterative optimization algorithm, updating the initial smoothing image until the iterative number or the convergence condition is satisfied, obtaining an optimized smoothing image, and the optimized smoothing image being an accurate estimation of the image defocus information; performing deblurring processing through difference operation based on the optimized smoothing image, obtaining a deblurred image; and performing normalization processing on the deblurred image and outputting the deblurred image in uint16 format.The application overcomes the dependence on high-precision hardware and complex optical elements, and realizes high-resolution optical section imaging effect.