485 results about "Micro imaging" patented technology

The invention discloses an all-optical three-dimensional scanning confocal fluorescent microscopic imaging device and an implementation method thereof. According to the invention, through a deep learning driven adaptive regulation and control method, CNN is adopted to process spatial distribution data and dynamically regulate and control a phase hologram and the light intensity and phase compensation of a laser, so that the focal point of exciting light is subjected to aberration-free axial displacement, a bidirectional parallel optical scanning track of a two-dimensional scanning system is optimized, and all-optical three-dimensional scanning is realized; lSTM and TCN are combined to obtain a time sequence dependency relationship, a laser light source, an adjustable diaphragm, an electric focus-adjustable lens and a photoelectric detector are integrally controlled, efficient synchronization and automatic operation and high-speed axial focusing adjustment are realized, errors and time sequence mismatch are eliminated, optical characteristics of different samples and environmental interference are automatically adapted, and high-quality imaging is kept. The robustness and the applicable scene range of the system are improved; the method is used for model biological embryo real-time tracking, intracellular signal molecule dynamic visualization, cell membrane protein migration and aggregation observation and intracellular organelle interaction tracking.

The invention discloses a multi-mode nonlinear optical microscopic imaging device and system, and the device achieves the two-photon and three-photon excitation imaging of a sample through an integrated light source module, a dispersion compensation module, a scanning light path module, a fluorescence obtaining module, a synchronous control module and a signal processing module. Fluorescence intensity imaging and fluorescence lifetime imaging can be supported at the same time; wherein the scanning light path module is driven by the random mask to realize sparse scanning, so that scanning point locations are effectively reduced, and the exciting light dosage is reduced; the synchronous control module performs time window screening and processing on the fluorescence signal based on the pulse synchronous signal and the position code, so that the signal acquisition efficiency is improved; the signal processing module adopts an FPGA (Field Programmable Gate Array) to carry out real-time image reconstruction and life calculation, so that the imaging speed and quality are ensured; and the master control PC can also perform high-fidelity reconstruction on the sparse sampling image through a deep learning model, so that high-speed, low-light-dose and high-resolution nonlinear fluorescence intensity and life imaging is realized.

The invention relates to the technical field of peanut plant growth state intelligent monitoring, in particular to a peanut plant growth state intelligent monitoring method and system and electronic equipment. The method comprises the following steps: respectively acquiring visible light and near-infrared images, laser radar point cloud data, near-infrared spectra and microscopic images of peanut plants by using a multispectral camera, a laser radar, a near-infrared camera and a microscopic imager carried by a field robot; carrying out de-atomization and color correction on the image by adopting a self-adaptive illumination compensation algorithm; a laser radar point cloud is fused to construct a plant three-dimensional point cloud model; segmenting an overlapped leaf area based on a graph neural network, and extracting morphological characteristics of a single plant; the nitrogen content and the moisture content of the leaves are analyzed through near infrared spectroscopy, and early scabs are recognized in combination with microscopic imaging; and inputting the morphological characteristics and the physiological parameters into a growth state evaluation model, and outputting growth indexes and disease and pest early warning. According to the invention, automatic and refined monitoring and growth state comprehensive evaluation of peanut plant morphology and physiological parameters are realized.

A brain organoid containing optic vesicles generated based on H9 induction and an eye-brain fusion culture method thereof are provided. H9 embryonic stem cell induction is used to generate a brain organoid containing optic vesicles with primitive visual field. Based on an established optic vesicle brain organoid culture system, microscopic imaging is combined with specific marker antibodies related to early retinal development and photoreceptor cell maturation to structurally and functionally identify the brain organoid containing optic vesicles.

A deep learning-based super-resolution fluorescence lifetime imaging microscopy (SR-FLIM) method includes the steps of: S1, performing fluorescence microscopic imaging on a sample to obtain confocal intensity images and stimulated emission depletion (STED) intensity images at a same location; S2, co-registering the acquired confocal and STED intensity images; S3, pairing the co-registered confocal and STED intensity images as input (Input) and ground truth (GT) to assemble a dataset; S4, partitioning the dataset into training and validation sets following a predefined ratio; and S5, constructing a network, and selecting hyperparameters and an optimizer. This method may achieve SR-FLIM within a conventional confocal FLIM system, surpassing spatial resolution limitations of FLIM, breaking through resolution barriers of conventional optical microscopy, while preserving normal fluorescence lifetime characteristics of fluorescent probes.

The invention provides a super-resolution fluorescence microscopic imaging method and product based on deep learning, and the method comprises the steps: carrying out the feature extraction and image reconstruction of an actual fluorescence microscopic image based on a trained super-resolution fluorescence microscopic imaging model, and obtaining a super-resolution fluorescence microscopic image result; wherein the super-resolution fluorescence microscopic imaging model is constructed on the basis of an encoder-decoder architecture fused with a residual network, a channel attention mechanism and a self-attention module, and the trained super-resolution fluorescence microscopic imaging model is obtained through pre-training-fine tuning dual-stage training. According to the invention, based on the encoder-decoder architecture, the residual network, the channel attention mechanism and the self-attention module construction are fused, and the pre-training and fine-tuning dual-stage training strategy is combined, so that the cross-modal super-resolution migration capability under the single-sample condition is realized, the bottleneck that the traditional deep learning depends on a large amount of data repeated training is broken through, and the super-resolution migration capability is improved. When different imaging samples and systems are replaced for super-resolution reconstruction, resource consumption can be remarkably reduced.

The invention presents a lensless Fourier ptychographic diffraction tomography microscopy imaging method based on wavelength scanning. The technique uses only a wavelength-tunable light source for illumination on a lensless microscope experimental system to collect a series of coaxial holograms. Then, the three-dimensional scattering potential spectrum is filled using an iterative Fourier ptychographic method to restore the three-dimensional refractive index distribution of the sample directly. The present invention does not require complex modifications to traditional lensless on-chip microscopes. It can endow lensless on-chip microscopes with the ability of pixel super-resolution three-dimensional tomographic imaging.

The invention provides a linear optical tweezer astigmatism field regulation and control method based on an optical transmission matrix. The design method comprises the following steps: establishing a 4 * 4 optical matrix for generating a linear optical tweezer astigmatism field and a transmission equation; analyzing the regulation and control rule of the parameters of the optical element on the astigmatism characteristics; collecting a fluorescence slice image of the initial astigmatic light field through an axial tomography scanning method; reconstructing the spatial distribution of the initial image light field; judging whether the light field accords with a preset astigmatism characteristic or not, if not, determining the astigmatism characteristic to be optimized, and adjusting element parameters according to a regulation and control rule; and acquiring the adjusted image of the astigmatism light field again, reconstructing the image, and continuously performing judgment iteration until the image accords with the preset astigmatism characteristic, thereby realizing regulation and control of the astigmatism light field. Matrix optics is used in optimization of a linear optical tweezer image dispersion light field optical system, the limitation of traditional trial and error design is avoided, the method can be applied to the fields of light control technology, light sheet fluorescence microscopic imaging and the like, and the performance of the optical system is improved.

The invention relates to an ultrafast electron microscopic imaging device and an imaging method thereof, in particular to a multi-mode multi-dimensional ultrafast electron microscopic imaging device and an imaging method thereof, and solves the problem that the existing electron microscopic imaging technical scheme is difficult to simultaneously meet the measurement requirements of high time-space-energy-momentum resolution and material diversification. The device comprises a sample cabin, an electron gun, a laser generation module, a secondary electron detector, an STEM detector, an in-cabin plug-in detection assembly, a plug-in camera and an energy filtering electron microscope assembly which are arranged below the sample cabin, and a vacuum system, a hollow sample table is arranged in the sample cabin, and at least two ultrafast pumping laser introduction windows are arranged on the cabin wall of the sample cabin; an ultrafast detection laser introduction window is arranged on the electronic gun shell; the secondary electron detector is arranged obliquely above the sample table; the STEM detector is arranged on the side cabin wall of the sample cabin and is positioned below the sample table; and the in-cabin plug-in detection assembly is arranged below the STEM detector.

The invention discloses a coaxial laser confocal processing and measurement integrated system and an in-situ morphology measurement method thereof, and belongs to the technical field of ultrafast laser precision processing and in-situ measurement. The system comprises a laser confocal morphology measurement module, an ultrafast laser scanning processing module, a CCD (Charge Coupled Device) microscopic imaging module, a beam splitter prism, a low-pass dichroscope, a long-working-distance achromatic laser processing objective lens and a combined three-axis precision displacement table, the laser confocal morphology measurement module generates a measurement light beam to realize morphology measurement of a sample; the ultrafast laser scanning processing module generates a processing light beam to scan and process the surface of the sample; the CCD microscopic imaging module generates an illumination light beam to realize illumination of a processing position and acquisition of image information of a sample surface; a measurement light beam, a processing light beam and an illumination light beam form coaxial light beams through a low-pass dichroscope, the coaxial light beams are focused at the same position of the surface of a sample through a long-working-distance achromatic laser processing objective lens, and the coaxial in-situ measurement condition is achieved.

The invention discloses a spore microscopic imaging automatic focusing method and system based on a target recognition algorithm, and the method comprises the steps: analyzing the image focusing effect of spore images collected under different object distances in the process of changing the object distance of a microscope, and determining the optimal positive focus object distance based on the object distance corresponding to the spore image with the optimal image focusing effect; the image focusing effect is cooperatively determined based on the number of spores which can be recognized by using a target recognition algorithm in the image and a focusing evaluation value obtained by analyzing the image by using a focusing evaluation function; the image focusing effects of different images are preferentially determined according to the number of the spores which can be recognized; and when the number of the spores is consistent and the image focusing effect difference cannot be determined, further determining the image focusing effects of different images based on the focusing evaluation values of the images. According to the method, the problem of focal plane misjudgment caused by complicated background interference of micro-particle impurities such as pollen and dust in a spore microscopic image is solved.

The invention belongs to the field of molecular sieve material characterization, and particularly relates to a method for analyzing aluminum atom pairs in a ZSM-5 molecular sieve based on super-resolution fluorescence microscopic imaging, which comprises the following steps: activating a ZSM-5 molecular sieve sample; contacting the obtained sample with probe molecules; washing the ZSM-5 molecular sieve sample, and removing unbound or nonspecifically bound probe molecules; imaging the marked sample by using a super-resolution fluorescence microscope to obtain an image sequence containing a single fluorescent molecule emission event; processing the image sequence, determining a space coordinate of each fluorescence event, and reconstructing a super-resolution fluorescence image exceeding an optical diffraction limit; and based on the space coordinates of the fluorescent dots in the super-resolution fluorescence image, carrying out statistics to obtain the position, surface density or distribution information of the aluminum atom pairs in the ZSM-5 molecular sieve. According to the method disclosed by the invention, nanoscale spatial resolution, direct imaging and quantitative analysis of Al-pair in ZSM-5 (Zeolite Socony Mobil-5) can be realized.

The invention relates to a crystal orientation detection system, which comprises an LED surface type array, an illumination lens, a reflector, a microscope objective, a sample stage, a tube lens, an image sensor and a computer, and is characterized in that the LED surface type array comprises m * n LED light sources which are uniformly distributed along the radial direction and the annular direction and are independently controlled by the computer; the illumination lens, the reflector and the microscope objective form an illumination light path, the microscope objective and the tube lens form a microscopic imaging light path, the reflector refracts an illumination light beam to the microscope objective at an inclination angle of 45 degrees, and the computer synchronously controls gating of the LED face type array and image acquisition of the image sensor. According to the technical scheme, the LED light source is long in service life and low in energy consumption, a complex vacuum environment and high-voltage equipment are not needed, optical assemblies such as a reflecting mirror, a microobjective and a tube mirror are mature and easy to obtain, and the overall manufacturing cost of the system is only 10%-20% of that of an electron backscatter diffractometer (EBSD) which is the most commonly used crystal orientation detection device at present.

The invention discloses a living blood vessel and lymph multi-parameter quantitative photoacoustic microscopic imaging system which comprises a high repetition frequency laser source, a photoacoustic scanning probe and a molecular imaging device. Through the cooperation of the multi-wavelength fast switching laser and the high-speed scanning probe, synchronous, dynamic and quantitative imaging of vascular function parameters and lymph concentration in a living tissue microenvironment is realized. The system has a video-level imaging rate and can capture a rapid biological process; through coaxial design of dispersion correction and a photoacoustic focus, high spatial resolution and high signal-to-noise ratio of a multispectral image are guaranteed; and the compact probe design realizes large-range scanning. The technology provides a powerful in-vivo visualization tool for research on life science problems such as tumor evolution and drug metabolism.

The invention relates to a multi-modal microscopic imaging system and method, and the system comprises a multi-modal imaging module which is used for transmitting a multi-modal laser beam; the scanning system comprises a scanning device and an objective lens; the controller is used for controlling the scanning device to move to a specified pose and controlling the scanning device to conduct the multi-mode laser beam to a target area of the sample to be detected through the objective lens for scanning under the specified pose; wherein a multi-mode optical signal and an ultrasonic signal are returned after surface excitation of the to-be-detected sample; the transducer assembly is positioned between the sample to be detected and the objective lens and is used for collecting ultrasonic signals; and the controller is also used for processing the collected multi-mode optical signal and ultrasonic signal returned by the multi-mode imaging module to generate a scanning result image. According to the invention, the problem of time-space consistency caused by time-sharing detection in traditional multi-mode microscopic imaging is solved.

The invention belongs to the technical field of image processing, and discloses a microscopic imaging depth-of-field fusion method and device, equipment and a storage medium, a plurality of sample images in different depth-of-field scenes are collected, each sample image comprises a focus area, and the focus areas in different sample images correspond to different depth-of-field scenes; each sample image is subjected to definition scoring to obtain a definition score, image blocks are cut from each sample image, the image blocks of different sample images have the same image position and size, and target weight coefficients of the image blocks in each sample image are calculated according to the definition scores; the image blocks of the plurality of sample images are calculated and synthesized to obtain the target image, and the target image comprises all different focus areas, so that the target image has relatively high depth of field, the overall definition of microscopic imaging can be improved, and subsequent image analysis and processing are facilitated; the whole process is automatically controlled, and the working efficiency can be greatly improved.

The invention discloses a near-infrared confocal microscopic imaging system and a near-infrared confocal microscopic imaging method, and relates to the technical field of optical microscopic imaging. The method comprises the following steps that near-infrared exciting light sequentially passes through a beam expanding system, a liquid lens and a confocal scanning light path to irradiate a to-be-detected sample so as to generate a near-infrared fluorescence signal, and the liquid lens is used for adaptively adjusting the focal length and wavefront morphology according to the depth of the to-be-detected sample; a photomultiplier detects the near-infrared fluorescence signal after non-focus scattered light is filtered out through the confocal scanning light path and the pinhole, and a fluorescence signal image is obtained; and according to the fluorescence signal image, carrying out iterative optimization on the focal length and phase modulation parameters of the liquid lens to maximize the image sharpness or the signal-to-noise ratio and realize the three-dimensional microscopic imaging of the deep tissue. According to the near-infrared confocal microscopic imaging method provided by the invention, deep near-infrared microscopic imaging with low phototoxicity, low cost and high resolution can be realized.

The invention discloses a multi-mode microscopic Raman spectrum detection system, which comprises a white light microscopic imaging module, a reflection type Raman spectrum excitation and detection module, a transmission type Raman spectrum excitation and detection module, an optical information excitation module and an optical guiding module. Light path integration of all the modules is realized by sharing a microscope objective, image acquisition, reflection Raman detection and transmission Raman detection of a sample can be completed on the same platform, and the device has the advantages of high spatial alignment, flexible operation switching and adaptability to detection of multiple types of samples, and is suitable for micro-area Raman analysis in the fields of biomedicine, material science and the like.

The invention discloses a Wright staining peripheral blood cell accurate identification system and method based on intelligent microscopic imaging and multi-modal fusion deep learning, belongs to the crossing field of medical examination and artificial intelligence, and is suitable for cell morphology analysis under a 10 * 40-time microscope. The core scheme comprises the following steps: standardized slide preparation and dyeing (the slide pushing angle is 25 + / -2 degrees, the pH is 6.8 + / -0.2, and color sensing dynamic regulation is performed); intelligent imaging (focusing formula and color normalization; the method comprises the following steps of (1) data processing, (2) data processing, (3) data processing, (4) data processing, (5) data processing, (6) data processing, (7) data processing, (8) data processing, (7) data processing, (8) data processing, (8) data processing, (8) data processing, (8) data processing, (8) data processing and (8) data processing.

The invention relates to the technical field of low-temperature imaging, in particular to a low-temperature microscopic imaging system. The low-temperature microscopic imaging system comprises a helium medium circulation assembly, a cold transfer assembly and an imaging assembly, liquid helium is stored in the helium medium circulation assembly, the cold transfer assembly is connected with the helium medium circulation assembly, and the cold transfer assembly comprises a first cold transfer unit and a second cold transfer unit for liquid helium to flow; the imaging assembly comprises a sample table, a support and a low-temperature imaging piece, the support is connected with the sample table, and the low-temperature imaging piece is connected with the support; one end of the first cold transfer unit is communicated with the helium medium circulating assembly, the other end of the first cold transfer unit is communicated with the sample table, a throttle valve is arranged in the first cold transfer unit, one end of the second cold transfer unit is connected with the helium medium circulating assembly, and the other end of the second cold transfer unit is connected with the sample table. The device has the advantages that pre-cooling can be performed through the second cold transfer unit before a formal experiment, then cryogenic cooling is achieved through the first cold transfer unit, and the cooling efficiency is high.

The invention provides a combined type electronic detector, electronic detection equipment and a detection method, and belongs to the technical field of electronic microscopic imaging. The combined type electronic detector adopts a structure that yttrium aluminum garnet crystals are arranged to partially cover a split type silicon diode detector, so that physical replacement of any detection body is not needed, and the detection efficiency is improved. According to the invention, signals of different areas can be selected and read through an electronic mode, so that an optimal detection mode is called under different working conditions, detection can be realized under the condition of high acceleration voltage, detection can also be realized under the condition of low acceleration voltage, one machine with two purposes is realized, and the performance and the application range of electron beam equipment are greatly improved.

The invention discloses an efficient debugging preparation method of a DFB laser grating. The method comprises the following steps: obtaining the width and depth of a grating line through electron microscopic imaging to form an initial parameter set; comparing design parameters to identify an abnormal area; analyzing a spatial distribution rule of abnormal region parameters, and classifying process fluctuation types; performing selective filtering on the geometric parameter sequence according to the fluctuation type to obtain a correction parameter; evaluating the influence on the output wavelength according to the correction parameter, and generating a process compensation coefficient when the deviation is predicted; predicting and optimizing structural parameters through process simulation; and finally generating a control instruction to drive the etching equipment to adjust the process in real time, and determining that the performance reaches the standard through monitoring. According to the invention, the fluctuation source can be intelligently diagnosed, the parameters are accurately corrected, closed-loop control is realized, and the anti-interference capability, control precision and efficiency of the preparation process are effectively improved.

Disclosed in the present invention are a conical optical illumination-based reflective scanning super-resolution optical microscopy system and method. The system comprises a sample displacement module, an optical microscopic imaging module, an annular focused beam generation module, a beam scanning module, a super-resolution focused illumination and collection module, a super-resolution optical imaging module and a computer. By means of using the advantages of annular focused beam illumination, high focusing efficiency of traditional lenses, and high beam scanning speed, high-efficiency super-resolution focused illumination with an extended depth of focus is achieved, and further traditional optical lenses can be used to achieve fast super-resolution optical microscopic imaging; fast label-free far-field super-resolution two-dimensional microscopic imaging is implemented by means of two-dimensional beam scanning; by means of performing label-free far-field super-resolution two-dimensional microscopic imaging on samples at different axial positions, super-resolution two-dimensional microscopic images of different cross sections of samples are obtained, thereby achieving three-dimensional tomography. The present invention can be applied to fast label-free super-resolution microscopic imaging of biological samples, and can also be applied to other fields such as industrial super-resolution microscopic inspection.

The invention relates to the technical field of cell culture, and discloses a stem cell differentiation degree identification method based on image features. The method comprises the following steps: continuously capturing multi-temporal image data in a stem cell culture process through a high-resolution microscopic imaging system, and generating an image and environment synchronous data set; processing the data set, extracting dynamic morphological features and texture change modes of the stem cells, and constructing a fusion feature set; outputting a differentiation process index based on the fusion feature set; a differentiation degree grade division rule is set, and a differentiation process index and differentiation grade mapping table is established; in a real-time application stage, acquiring real-time imaging data and environment readings, and inputting the real-time imaging data and the environment readings into an evaluation network to calculate real-time differentiation process indexes; querying the mapping table according to the real-time index to obtain a differentiation grade judgment result; comparing the judgment result with a preset target range, and if the judgment result falls into the target range, automatically executing differentiation state marking and culture parameter adjusting operation.

A super-resolution microscopic imaging method and apparatus based on common-path parallel fluorescence emission difference microscopy. In the method, a liquid crystal spatial light modulator is used to modulate excitation light in fluorescence emission difference microscopy super-resolution microscopic imaging, and two parts of the spatial light modulator are respectively loaded into 0-2π vortex phase modulation and blazed grating, so that the common-path excitation light forms solid spot and doughnut-shaped spot with a certain distance on a sample surface at the same time, and parallel scanning is carried out, thereby ensuring that the imaging speed is doubled compared with that of ordinary fluorescence emission difference super-resolution microscopic imaging, and at the same time, the two excitation lights are not easily affected by noise, drift and other interferences due to the common path.

SOLUTION: An apparatus includes a microscopy imaging module, a curved light sheet lighting module, and a sample scanning module. The curved light sheet lighting module generates a curvature-adjustable curved light sheet and operates in conjunction with a wide-field microscopy imaging apparatus having a field curvature, thereby enabling the entire imaging field to be maintained in focus. By integrating with the sample scanning module, high-throughput microscopy imaging of a centimeter-scale transparent sample is achieved without the need for field-of-view stitching.EFFECT: An apparatus and method are useful for solving the technical problems associated with existing light sheet microscopy technology, which suffers from low throughput and requires field-of-view stitching when imaging a centimeter-scale transparent sample. They also contribute to addressing a field curvature issue in microscope objective lens design, thereby enabling reduced design complexity and production cost for a high-throughput objective lens.SELECTED DRAWING: Figure 1

The invention relates to an intelligent trace imaging analysis method and device based on multi-mode micro-spectrum fusion, and belongs to the technical field of trace material evidence information search. The method comprises the following steps: acquiring image data of an original fingerprint through a fingerprint collector, and transmitting the image data to an image analysis application carried by a trace microscopic imaging system; the trace microscopic imaging system carries out printing operation on image data of fingerprints collected in real time through an integrated printing system; a trace sample of the objective table is sampled based on the optical microscopic imaging assembly, and spectral imaging data of the trace sample in different wavelength ranges are obtained through a multi-band light source in the optical microscopic imaging assembly and transmitted to the image analysis application; and carrying out superposition, comparison, display and analysis on the spectral imaging data through the image analysis application. Through a specific spectrum light source, key information such as trace information characteristics, trace biological residues and trace display can be effectively searched and found.

The present invention relates to a robotic microscope system (100, 100′) for imaging and displaying images of an operating field (6), comprising:a microscopic imaging system (10, 10′), comprising at least one microscopic imaging unit (1), the at least one microscopic imaging unit (1) comprises at least one imaging device (8) providing a field of view (9) for imaging the operating field (6),a robotic device (20), operatively connected to the microscopic imaging system (10, 10′) configured for a controlled movement of the microscopic imaging system (10, 10′) in at least one degree of freedom,at least one display device (30) operatively connected to the at least one microscopic imaging unit (1) and configured to display at least the images of the operating field (6) imaged by the at least one imaging device (8),at least a first detection device (3a) and a second detection device (3b), each of which providing a field of view (4a, 4b) for detecting at least one of a position, an orientation and a movement sequence of at least one control triggering object (5a, 5b) as at least one trigger characteristic, anda control device (1b) configured to control at least one of the at least one microscopic imaging unit (1), the robotic device (20) and the display device (30) in accordance with the at least one detected trigger characteristic detected by at least one of the first detection device (3a) and the second detection device (3b) within a predetermined portion of the respective field of view (4a, 4b) for detecting the at least one trigger characteristic to adapt images of the operating field (6) to be displayed.The present invention also relates to a method for controlling such robotic microscope system and a respective computer program product.

The invention provides a depth information guided multi-focal-plane microscopic imaging method and device and a medium, and the method comprises the steps: carrying out the region division of a plurality of camera fields of view of a target sample, and obtaining a plurality of field of view regions of each camera field of view; collecting area depth values of the plurality of view field areas; according to the area depth values of the plurality of field-of-view areas, obtaining a field-of-view depth range of the corresponding camera field-of-view; acquiring a plurality of view field focal plane depths of each camera view field according to the view field depth range of each camera view field and a depth-of-field parameter of the microscopic equipment; performing image acquisition according to the plurality of view field focal plane depths of each camera view field to obtain a plurality of focal plane microscopic images of each camera view field; and according to the plurality of focal plane microscopic images of the plurality of camera fields of view, obtaining a panoramic depth fusion image corresponding to the target sample. The number of times of image acquisition can be effectively controlled, redundant image data is prevented from being generated, and the efficiency of image acquisition is improved.

The invention discloses a high-throughput automatic structure-streaming imaging method and device, and belongs to the technical field of biomedical engineering.The device comprises an imaging detection module used for achieving imaging detection of a printing model, the imaging detection module is provided with two combined optical paths of optical coherence tomography, fluorescence microscopic imaging or confocal microscopic imaging; and the data support module is used for realizing hydrogel interface microscopic observation under rheological loading, and the data support module is integrated with a rheometer based on a combined optical path of optical coherence tomography and fluorescence microscopic imaging. The OCT and FM combined common-path multi-mode imaging system is integrated with the rheometer and the cooperative control module, and a three-dimensional quantitative characterization method of parameters such as space collapse degree is combined, so that synchronous observation and accurate analysis of a microscopic-macroscopic structure and stress-strain are realized.