900 results about "Micro imaging" patented technology

The invention belongs to the technical field of optical precision measurement, and particularly relates to a wafer defect detection system based on dual-channel optical imaging. According to the invention, dark field scattering and diffraction phase microscopy are combined as two optical imaging channels; optical paths of the two imaging modes are compatible and synchronized; through optical system calibration and optimization, high-precision acquisition and alignment of multi-modal images are realized; calibrating the sensitivity and resolution of the system by using a standard sample to ensure that the detection performance meets a preset requirement; carrying out dual-channel synchronous imaging on the wafer sample to be detected, and respectively obtaining a dark field scattering image and a diffraction phase image; carrying out conjoint analysis on the multi-modal data through an image algorithm, extracting size, depth and structure information of defects, and generating a high-precision defect detection report; the system specifically comprises a dark field scattering imaging module, a diffraction phase microscopic imaging module and an image processing unit. According to the invention, the defect of a single imaging mode can be effectively overcome, and the detection precision and robustness of the system are remarkably improved.

The invention discloses a method for analyzing mineral trace elements by utilizing a micro-Raman spectrum, which comprises the following steps of: fixing a mineral sample on a rotary sample table of a micro-Raman spectrometer, selecting an area to be detected by combining a micro-imaging technology, collecting a Raman background signal under the pre-illumination of low-power laser, and analyzing the trace elements in the area to be detected according to the Raman background signal. The laser focal length, the spot size and the incident angle are adjusted accordingly, the laser is focused on a target area, under the calibrated laser condition, through a multi-angle excitation micro-area, after an algorithm is applied to optimize signals, reduce impurity interference and integrate multi-angle Raman signals, the characteristic spectrum information of the microelements can be extracted, and the microelements can be accurately detected. High-resolution analysis of sample components is realized, and a three-dimensional distribution model of microelements in a microcell is constructed in combination with microscopic imaging data. The method has the characteristics of non-destructiveness, high resolution and rapid detection, and is suitable for mineral component analysis in the fields of geology, material science and the like.

The invention discloses an enhanced photoacoustic microscopic imaging method based on physical degradation learning, which comprises the following steps of: on the basis of a photoacoustic imaging principle, degrading an image of a real photoacoustic microscopic image to the ground into a low-quality photoacoustic microscopic image through physical model degradation learning with variability. A high-quality photoacoustic microscopic imaging image is used as a target of supervised training, deep learning is used as a basis, the high-quality photoacoustic microscopic imaging image is input into a self-designed convolutional neural network with an attention mechanism for network training, the quality of a reconstructed image is evaluated until the reconstruction quality reaches the standard, and otherwise, the above steps are executed again. And inputting a real low-quality photoacoustic image into the trained neural network to obtain a reconstructed high-resolution photoacoustic image. According to the method, the resolution ratio and the contrast ratio of the deep photoacoustic microscopic image can be effectively improved, meanwhile, the photoacoustic microscopic image can be denoised, the dependence on the data set can be effectively reduced due to the fact that the data set is obtained through the physical model, and the reconstruction effect under different environments can be improved.

The invention relates to the field of microscopic imaging, and discloses a miniature microscopic system optical precision improvement and image calibration error optimization method, which comprises the following steps: establishing an optical distortion model and a mechanical disturbance model, and respectively describing a static error and a dynamic error; constructing a joint dynamic error model, and uniformly expressing a coupling relationship between optical distortion and mechanical disturbance; decoupling and separating the joint error through a space-time separation method to obtain a static error component and a dynamic error component; performing iterative optimization on the optical distortion parameter and the mechanical disturbance parameter based on an optimization algorithm to minimize a system calibration error; a real-time sensor is utilized to obtain dynamic disturbance data, and real-time dynamic compensation is performed on an image calibration error in combination with an optimization result, so that a high-precision calibration result is obtained. The method can effectively improve the calibration precision of the microscopic system in a dynamic environment, remarkably improves the imaging quality of the system, and has a wide application prospect.

The invention relates to the technical field of optics, and discloses a microscopic imaging system. The system comprises a light source module used for generating a laser beam; the radio frequency drive generation module is used for generating radio frequency drive signals with various frequencies; the heterodyne interference light path module is used for respectively performing optical heterodyne interference processing on the laser beams according to the radio frequency driving signals with various frequencies, respectively forming a light spot array and a reference light source and then combining the light spots and the reference light source, and generating combined light beams to be incident on a sample to be detected; wherein different light spots in the light spot array correspond to different light frequencies; the spectral data receiving module is used for collecting light data generated after the combined light beam is reflected by the to-be-detected sample; wherein the to-be-detected sample is subjected to fluorescence labeling in advance; and the image inversion module is used for receiving the optical data and carrying out image inversion processing on the optical data to generate imaging data of the sample to be detected. According to the scheme, the microscopic imaging response speed is increased, the efficiency is high, and the accuracy is good.

A super-resolution light-sheet fluorescence microscopy method, comprising: using reversibly photoswitchable fluorescent proteins (RSFPs) to process a biological sample (1000) to be tested; using a light sheet as activation light to be incident onto said biological sample (1000), so as to generate an activated portion in the reversibly photoswitchable fluorescent proteins (RSFPs); using modulated striped structured light as excitation light to be incident onto the activated portion of the reversibly photoswitchable fluorescent proteins (RSFPs) towards a surface where the activated portion is located, such that the activated portion of the reversibly photoswitchable fluorescent proteins (RSFPs) on a plane where the light sheet is incident emits fluorescence, wherein the activation light and the excitation light have different wavelengths; and collecting a fluorescence image with structured light stripe information as a two-dimensional fluorescence image for super-resolution image processing. Further provided is a super-resolution light-sheet fluorescence microscopy system.

The invention discloses a method for improving the axial resolution of photoacoustic microscopic imaging obtained based on a single-pixel frequency domain. The method comprises the following steps: 1) creating a Fourier substrate pattern with the spatial frequency of k in the axial direction; 2) respectively irradiating four Fourier substrate patterns with the spatial frequency of k and the initial phases of # imgabs0 #, # imgabs1 #, # imgabs2 # and # imgabs3 # to an imaging object, carrying out photoacoustic microscopic imaging, and acquiring data by using an ultrasonic transducer to obtain a response value of the ultrasonic transducer; 3) according to the obtained response value of the ultrasonic transducer, adopting a four-step phase shift method to obtain a Fourier coefficient corresponding to the spatial frequency k; and 4) gradually increasing the spatial frequency of the Fourier substrate pattern to the cut-off frequency of the objective lens, further obtaining Fourier coefficients corresponding to all spatial frequencies, obtaining a complete Fourier spectrum, and performing inverse Fourier transform to obtain a photoacoustic microscopic image after the axial resolution is increased. The method disclosed by the invention is expected to promote wider application of photoacoustic microscopic imaging in living cell and tissue imaging.

The invention relates to the technical field of electron microscopic imaging, in particular to an electron microscopic imaging automatic focusing method and device, computer equipment, a storage medium and a computer program product. The method comprises: acquiring an initial image; taking the initial image as a starting point, searching a to-be-detected object by using a current positioning model, and determining a focusing search starting point; the focusing search starting point is adjusted based on preset search parameters, a detection image corresponding to the adjusted imaging parameters is obtained, and the search step length and the search direction corresponding to the search parameters are dynamically adjusted according to the definition evaluation result of the historical detection image; in response to the condition that the adjusted detection image does not meet the definition evaluation index, updating the search parameter; and adjusting the imaging parameter based on the updated search parameter until the detection image meets a preset focusing requirement. By adopting the method, the efficiency of automatic focusing can be improved, and the accuracy of focus point positioning and the robustness of algorithm implementation can be improved.

The invention provides a multi-focus and multi-band channel auto-focusing confocal microscopic imaging system, and relates to the technical field of microscopic imaging, the system comprises an excitation end, a detection end and a control module, the control module is connected with the excitation end and the detection end; according to the invention, through integration of advanced optical design and an automatic control algorithm, rapid and accurate focusing is realized, and imaging under multiple wavebands is supported at the same time.

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 provides a photoacoustic microimaging brain electrode implantation site and path planning method and system, and the method comprises the steps: an image extraction step: employing a brain blood vessel enhanced extraction algorithm to extract an input photoacoustic microscanning imaging result, and obtaining brain blood vessel information; the cerebrovascular information comprises two-dimensional image information and a three-dimensional reconstruction result of the cerebrovascular; and an implantation site and path acquisition step: processing the cerebrovascular information by using a brain electrode implantation site path planning algorithm to obtain an implantation site on the two-dimensional image and an implantation path in the three-dimensional structure. According to the invention, the brain blood vessel enhanced extraction algorithm is adopted, so that the problems of high photoacoustic scanning imaging noise and poor imaging quality are solved, and accurate extraction and three-dimensional reconstruction of the brain blood vessel are realized.

The invention discloses a gradient refractive index lens-based micropore microscopic imaging system and method, light emitted by a white light source passes through a series of elements in a device and then illuminates the inner wall of a micropore, and reflected light on the surface of the inner wall sequentially passes through a reflector, a gradient refractive index lens, an optical fiber image transmitting bundle and a dichroscope and then reaches a focusing lens; and the focusing lens converges the parallel light to the surface of the CCD for imaging. The micropore microscopic imaging measuring device has the advantages of small size, high resolution and in-situ imaging, a sample is imaged by adopting a combination of a gradient refractive index lens and a reflecting prism which are NA = 0.5, the transverse working distance of an imaging system can be controlled by adjusting the distance between the gradient refractive index lens and the reflecting prism while the resolution is ensured, and the imaging precision is improved. Therefore, the probe can carry out imaging detection in a hole with a smaller diameter.

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.

The invention relates to a medium-wave infrared microscopic imaging lens for an optical transfer function measuring instrument, and relates to the technical field of optical testing. The medium-wave infrared microscopic imaging lens is sequentially provided with a first lens, a second lens, a third lens, a fourth lens, a fifth lens and a sixth lens along a light path propagation direction, and an aperture diaphragm is arranged on the incident plane of the sixth lens. The medium-wave infrared microscopic imaging lens for the optical transfer function measuring instrument is formed by connecting the infinity objective lens with the infinity tube lens, and the lens is suitable for medium-wave microscopic imaging and excellent in imaging performance; tolerance capacity is loose, and processing and adjustment are easy; the testing efficiency is high, the cost is low, and the practical application value is achieved.

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.

The utility model discloses a scanning lens light spot shift microscopic imaging system, which comprises a laser beam combining module, a microscopic imaging module and a spectrum detection analysis module, a laser generates two lasers with the same wavelength, the two lasers are combined through the laser beam combining module, the position of a certain laser focusing sample is changed through a scanning lens, and the light spot shift of the scanning lens is detected through the spectrum detection analysis module. And through the microscopic imaging module and the spectrum detection and analysis module, excitation spectrum detection is simultaneously carried out on different area positions of the sample by two lasers with the same wavelength, and the transmission efficiency of the optical waveguide is observed. According to the utility model, the scanning lens is adopted to realize large-range movement of a laser focusing spot in a sample area, and dual-wavelength common excitation acts on different areas of a sample so as to detect an excitation spectrum and test the optical waveguide transmission efficiency of the sample.

The invention discloses a cell culture and microscopic imaging integrated device which adopts an integrated design and comprises an imaging assembly, a fluorescence excitation assembly, an objective lens assembly, an automatic shading assembly, a two-dimensional displacement platform, a cell culture assembly, a bright field light source assembly and a shell, the imaging assembly, the fluorescence excitation assembly, the objective lens assembly, the automatic shading assembly and the two-dimensional displacement platform are integrated in the shell, the cell culture assembly is arranged on the two-dimensional displacement platform, and the bright field light source assembly is arranged above the shell. The device has the advantages that the bright field light source, the fluorescence excitation module, the imaging assembly and the cell culture assembly are integrated together, the device is complete in overall function, compact in structure, free of multiple sets of systems and convenient and fast to operate, the temperature and gas environment needed by cell culture are provided through the cell culture assembly, and the requirement for long-time real-time observation of living cell imaging is met; cell culture, multichannel fluorescence imaging and analysis can be completely realized through a single device, the operation process is simplified, and the working efficiency is improved.

The invention discloses a carrier three-dimensional diffusion microscopic imaging system based on two-photon excitation, and belongs to the technical field of microscopic imaging. The light is transmitted according to the light transmission sequence; the device is composed of a wavelength-adjustable femtosecond optical device, a full-automatic optical parameter amplifier, a first achromatic lens, a pinhole, a second achromatic lens, a first diaphragm, a first fully-polished reflector, a two-dimensional galvanometer, a scanning lens, a sleeve lens, a dichroscope, an objective lens, a piezoelectric displacement sample table, a focused white light source, a second diaphragm, a beam splitter, a third achromatic lens and a second diaphragm. The device is composed of a first achromatic lens, a second achromatic lens, a third achromatic lens, a fourth achromatic lens, a camera and a detector, and the MAPbI3 or MAPbBr3 crystal is placed on a high-precision piezoelectric displacement sample table as a semiconductor sample. The position of the excitation light beam on the surface of the sample is continuously changed by rotating the galvanometer, and the fluorescence emitted from the same position on the surface of the sample can be detected by using the detector, so that the three-dimensional diffusion process information of closure elements in the sample under the action of the excitation light beam is obtained, and the diffusion rule of the sample is revealed.

The utility model discloses a shooting device for fiber component analysis. The shooting device comprises a supporting base, an X-axis and Y-axis moving table, a Z-axis driving assembly, a carrying plate connected to the X-axis and Y-axis moving table and a microscopic imaging assembly connected to the Z-axis driving assembly and located above the carrying plate. A slide is arranged on the loading plate, and a first light source capable of irradiating to the slide is arranged in the microscopic imaging assembly. Wherein a first groove is formed in the upper surface of the carrying plate, a through light guide hole is formed in the first groove, and the slide covers the first groove; the lower surface of the carrying plate is connected with the XY-axis moving table through a connecting block, a second groove is formed in the position, corresponding to the light guide hole, of the connecting block, and a second light source is arranged in the second groove; a double-sided mirror is assembled at the bottom of the first groove and covers the light guide hole. According to the shooting device, the definition of the fiber sample image can be improved, the stereoscopic impression of the fiber sample image is also improved, and the loss of detail structures in the fiber sample image is also reduced.

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 discloses a step refractive index fiber endoscopic bending microscopic imaging loss recovery method and device. The method comprises the following steps: s1, searching and removing an image loss part in a step refractive index fiber endoscope scanning image; s2, image restoration: carrying out feature matching on the two displacement pictures processed in the step s1 to calculate x-direction and y-direction displacements of the two images, and then aligning and fusing the two images in a Poisson fusion mode to repair image loss parts; and s3, background denoising: estimating transmissivity by calculating a dark channel and a background illumination value, and denoising the image according to the transmissivity to obtain a denoised image. According to the method, through frequency domain low-pass filtering and feature matching fusion, lost image center information is successfully recovered, image center details are effectively recovered, and image recovery can be realized through processing of an imaged image.

The invention discloses a confocal polarization microscopic imaging device and method based on a functional small hole, and belongs to the technical field of optical microscopic imaging. In the device, an illumination module is used for providing laser in a fixed polarization state; the sample scanning module is used for placing different areas of the to-be-tested sample at the laser focus according to the designed S-shaped moving route; the scattered light collection module is used for collecting scattered light of the to-be-detected sample The functional pinhole module is used for focusing scattered light of the sample to be detected and projecting the scattered light to four spatially separated focuses with different polarization directions in a polarization manner; the light intensity detection module is used for collecting focus light spots polarized and focused by the functional small hole module and calculating intensity to draw a scanning graph. According to the device and the method, the full Stokes parameter metasurface is used as a functional small hole of a confocal imaging system for polarization imaging, and the device and the method have the characteristics of high imaging resolution, high polarization sensitivity, compact structure, good compatibility and the like.

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 relates to the technical field of medical equipment, in particular to an endoscope lens which sequentially comprises a first lens, a second lens, a third lens, a fourth lens, a fifth lens and a sixth lens from an object side to an image side along an optical axis. Each lens is provided with an object side surface which faces the object side and enables imaging light to pass through and an image side surface which faces the image side and enables the imaging light to pass through; the first lens has a positive refractive index, the second lens has a positive refractive index or a negative refractive index, the third lens has a positive refractive index, the fourth lens has a negative refractive index, the fifth lens has a positive refractive index, and the sixth lens has a negative refractive index. The invention can be used for label-free quantitative phase microscopic imaging, and can avoid the problems of adverse reaction and sequelae caused by the use of a fluorescent agent in a fluorescent confocal endoscope; a special dispersion glass material and a strong and weak dispersion glass material are combined to eliminate chromatic aberration, so that the near 100nm broadband achromatic effect is realized.

The invention relates to a short-wave infrared microscopic imaging lens for an optical transfer function measuring instrument, and relates to the technical field of optical testing. The short-wave infrared microscopic imaging lens comprises a first positive lens, a first negative lens, a second positive lens, a second negative lens, a third positive lens and a third negative lens which are sequentially arranged along a light path propagation direction, an aperture diaphragm is arranged on the incident plane of the first positive lens; the first positive lens and the first negative lens are glued through a first lens gluing surface to form a first lens, the second positive lens and the second negative lens are glued through a second lens gluing surface to form a second lens, and the third positive lens and the third negative lens are glued through a third lens gluing surface to form a third lens. According to the short-wave infrared microscopic imaging lens for the optical transfer function measuring instrument, the imaging performance of short-wave microscopic imaging is excellent; tolerance capacity is loose, and processing and adjustment are easy; the method is high in testing efficiency, low in cost and suitable for practical application.

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 discloses a signal enhancement system and method based on passive high-frequency opto-acoustic / ultrasonic microscopic imaging. The system comprises a laser excitation module, an ultrasonic excitation detection module and a signal processing control module. According to the invention, the required target laser is excited through the laser excitation module, so that a good light source condition is provided for microscopic imaging; the method comprises the following steps: under ultrasonic microscopic imaging, exciting high-frequency ultrasonic waves through an opto-acoustic transducer, and gathering and enhancing the ultrasonic waves in an acoustic wave transmission space of the opto-acoustic transducer and a sample to be detected by utilizing an energy gathering device; under photoacoustic microscopic imaging, ultrasonic waves are excited on a detected sample by means of laser, and the laser and sound waves are reflected, focused and enhanced by an energy concentrator, so that the sensitivity and the signal-to-noise ratio of microscopic imaging are improved, and the detection efficiency of microscopic imaging is improved; and the signal processing control module controls the three-dimensional mobile platform to scan the tested sample through the controller to realize the integrity of ultrasonic signal acquisition of the tested sample, so that an ultrasonic image of the tested sample is generated.

The invention provides a Fe3O4 nano-particle microscopic imaging detection method based on left-handed and right-handed polarization modulation, belongs to the technical field of photo-thermal science and detection and signal processing, and solves the problems that at present, nano single particles are difficult to observe, and the physicochemical characteristics are difficult to obtain, the method specifically comprises the steps that a to-be-detected sample is determined, and a slide sample is prepared; starting a computer, a data acquisition card, a lock-in amplifier, a galvanometer controller and a function generator; starting an exciting light and probe light laser power supply and a refrigerator; detection parameters, laser power / current parameters and modulation parameters are set, and scanning detection is conducted on the detection sample piece; loading a magnetic field; the computer reads a signal from the data acquisition card to obtain a photo-thermal detection result image; different laser parameters and magnetic field sizes are changed, the steps are repeated, circular dichroism and magnetic circular dichroism detection results are obtained, magnetization curve measurement is carried out, and the single nanoparticle magnetic moment overturning process is monitored.

The invention discloses a two-dimensional differential interference quantitative phase microscopic imaging system based on an active liquid crystal polarization grating. According to the invention, two-dimensional quantitative DIC imaging can be realized through a special light path design based on the strong light field regulation and control capability of the active liquid crystal grating, and the problem that a traditional DIC system can only carry out nonlinear imaging in one direction is solved; according to the invention, the liquid crystal grating with a small volume is adopted to replace an optical refraction element with a large volume in a traditional DIC system, so that a more compact optical path design is realized, the current requirements on miniaturized and lightweight optical devices are met, the optical grating can be easily integrated into other microscopic imaging equipment, multi-modal imaging is realized, and the application range of the optical grating is greatly expanded; the active liquid crystal grating is adopted, the state of liquid crystal molecules is controlled through an external circuit, rapid switching of an imaging mode between bright field imaging and two-dimensional quantitative DIC imaging can be achieved, and the requirements for sample observation under different conditions are met.