9 results about "Dynamic speckle" patented technology

The invention discloses a space target transaction detection method and system based on laser dynamic speckles, and relates to the technical field of space target monitoring, and the method comprises the steps: constructing a space target model comprising a movable assembly; emitting a laser beam to the space target model, and collecting a dynamic speckle field formed by scattering; extracting a light intensity time domain signal based on the dynamic speckle field; extracting the characteristic frequency of the dynamic speckle field based on the light intensity time domain signal; establishing a correlation model for representing a corresponding relation between different motion states of the transaction component and the characteristic frequency of the dynamic speckle field; and comparing with the correlation model based on the characteristic frequency, and obtaining a target transaction judgment result based on a comparison result. Therefore, high-sensitivity and non-contact detection and identification on the tiny transaction of the space target component are realized.

A homogeneous laser illumination system for microscopy applications, based on the use of multimode optical fibers (MMF), is described. The system's operating principle relies on the superposition of dynamic speckle patterns generated from several multimode fibers. These patterns are created by applying random, high-frequency perturbations (tens of kilohertz) induced by a piezoelectric actuator that perturbs the optical fibers. The superposition of these patterns reduces illumination contrast, achieving a uniform light distribution across the field of view (FOV). The system's modularity and adaptability allow for its integration into existing microscopy setups. Furthermore, it can be configured to operate with standard commercial objective lenses, including immersion lenses, and adjusted to reduce photobleaching in fluorescent samples.The system uses multimode optical fibers and requires no additional infrastructure to manage vibrations or mechanical noise. It is suitable for fluorescence microscopy and has been successfully tested with wavelengths across the visible spectrum. The system enhances the illuminated area and optimizes the generation of homogeneous light patterns, providing a high-performance and efficient solution for obtaining high-quality images in microscopic studies.

The invention relates to the technical field of medical image processing and artificial intelligence analysis, in particular to a mechanical perfusion heart coronary artery recognition and flow velocity estimation method based on laser speckle imaging, and is suitable for donor heart function evaluation and organ quality screening before heart transplantation. Comprising the following steps: continuously imaging the surface of an isolated heart in a mechanical perfusion state to acquire a dynamic speckle image sequence, inputting the dynamic speckle image sequence into a wavelet enhancement nnU-Net model to generate a coronary artery segmentation mask, and applying the coronary artery segmentation mask to the dynamic speckle image sequence to extract image data only containing a coronary artery region, and then generating a blood flow index map, analyzing the periodic change of the blood flow index in the coronary artery region to construct a blood flow velocity change curve, and estimating the hemodynamic parameters of the coronary artery. According to the application, automatic coronary artery identification and quantitative estimation of the blood flow velocity can be carried out on the mechanically perfused isolated heart, so that rapid and accurate non-invasive evaluation on the coronary artery system of the donor heart before heart transplantation is realized.

The invention provides a method for testing dynamic speckles displayed by laser. The method comprises the following steps of: a) acquiring multiple frames of laser speckle images of an area to be detected by using an imaging device; b) calculating the average space speckle contrast ratio and the average time speckle contrast ratio of the area to be detected according to the multiple frames of laser speckle images; c) collecting the average static space speckle contrast ratio of the test system, and calculating system coherence parameters according to the average static space speckle contrast ratio; step d), according to the formula, calculating to obtain a dynamic component proportionality coefficient of the to-be-measured area; and e) according to the mixed scattering model formula, calculating to obtain the dynamic speckle index of the to-be-measured area.

The invention discloses an artificial intelligence-based ultrasonic image recognition system for an atrial deficiency heart disease, and relates to the technical field of ultrasonic image recognition. The system comprises an image acquisition module, a dynamic speckle suppression module, a body position self-adaptive correction module, a multi-scale micro-feature capture module, an atrial defect identification and quantification module and a result output module, wherein the image acquisition module realizes original data acquisition and standardization processing; the dynamic speckle suppression module dynamically adjusts a filtering strategy based on atrial deficiency pathological features, and balances noise elimination and edge feature reservation; the body position self-adaptive correction module corrects body position deformation to ensure the consistency of atrial deficiency forms based on cardiac anatomy prior; the multi-scale micro-feature capturing module is combined with a pathological attention mechanism to accurately extract small defect features; and the room defect identification and quantification module completes room defect positioning, type classification and core parameter quantification. According to the invention, the small defect identification precision can be obviously improved, and technical support is provided for early accurate diagnosis of atrial deficiency.

This utility model discloses a dynamic speckle detection system embedded inside a laser projector, relating to the field of laser projector technology. It includes: a laser projection light source, a beam combining and homogenizing module, a speckle suppression module, an image modulation module, a speckle measurement module, and a speckle suppression drive module. The speckle suppression module includes a vibrating device, and the speckle measurement module includes an image acquisition unit and a control unit. The optical axis of the speckle measurement module points towards the projection screen. The output of its image acquisition unit is connected to the control unit, and the output of the control unit is connected to the speckle suppression drive module. The output of the speckle suppression drive module drives the vibrating device. This utility model embeds the speckle measurement system inside the laser projector, allowing arbitrary modulation of the speckle suppression module's operating state according to the actual projection pattern. This avoids the speckle suppression module operating at maximum performance for extended periods, reducing laser power consumption and heat dissipation burden, and significantly improving the lifespan of the speckle suppression module.

This application relates to the field of health monitoring and discloses an occupational fatigue cumulative risk early warning system based on multidimensional features of tongue surface images. The system includes: an image acquisition unit for acquiring a mixed response image sequence of the subject's tongue surface, containing dynamic speckle features and macroscopic deformation features; a pneumatic excitation unit for applying controllable non-contact mechanical micro-perturbations to the tongue surface, generating instantaneous impact and evaporative cooling effects to induce forced vibration response of the tongue surface soft tissue and cold pressure contraction response of microvessels, respectively; and a positioning support unit for fixing the subject's head posture and limiting non-testable displacement. By employing a non-contact pneumatic and optical coupling detection mode, controllable airflow pulses are used to replace traditional contact-type mechanical probes or electrodes. This design avoids direct contact between the test probe and the oral mucosa, effectively eliminating the risk of cross-infection and measurement errors caused by uneven contact pressure.

The invention provides a semiconductor device super-resolution microscopic device and method based on spatial spectrum estimation. The device comprises an LED light source, a collimating beam expander, a rotatable scattering sheet, a collimating lens, a polarizer, a relay lens, a polarizing beam splitter, a 1 / 4 wave plate, a microscope objective, a semiconductor wafer sample, an analyzer, a tube lens and a camera. Dynamic speckle illumination is used for inducing the surface of a semiconductor wafer sample to generate optical fluctuation response, a super-resolution fluorescence microscopic imaging technology based on spatial spectrum estimation is applied to the technical field of semiconductor measurement for the first time, and unmarked, high-speed and super-resolution imaging measurement of a semiconductor device is realized.

The invention discloses a rotating target alignment method and system based on laser dynamic speckles, and relates to the technical field of space target monitoring, and the method comprises the steps: simulating the distribution of a laser speckle field in a target rotating polar region under different error states, and extracting a corresponding experiment characteristic frequency minimum value as a key index; fitting is carried out based on a relation distribution rule of the key indexes and the error states corresponding to the key indexes, and an error-characteristic frequency mapping model is obtained; acquiring a real-time power spectrum of the rotating target to be measured; inputting the real-time power spectrum into an error-characteristic frequency mapping model to obtain error data of the rotating target to be measured; and adjusting the to-be-measured rotating target based on the error data until an alignment state is reached. Accurate measurement of speed and frequency parameters of various motion forms such as translation, rotation, vibration and the like is achieved, and then the alignment efficiency and precision are improved.