5 results about "Speckle imaging" patented technology

The application provides a neurovascular coupling imaging system, method, device and storage medium, which comprises an image collector, a microscope frame arranged in the light inlet direction of the image collector, a visible light system for emitting visible light to a sample to be collected after the visible light is reflected by a beam splitter in the microscope frame, a near-infrared light system for emitting near-infrared light to the sample to be collected after the near-infrared light is reflected by another beam splitter in the microscope frame, and a trigger device for switching the frequency of the time-sharing emission of each light source in the visible light system and the near-infrared light system based on the collection frequency of the image collector. The application can integrate different visible light or near-infrared laser light sources in the light path to be collected, is compatible with various imaging requirements such as visible light for imaging of nerve cell activity and near-infrared light speckle imaging for non-invasive blood flow imaging, ensures that there is no time difference between image collection and light source switching and no time resolution is lost, and facilitates subsequent storage and calculation of data.

The application discloses a multimode fiber speckle physical state sensing and image reconstruction integrated method and system, relates to the technical field of optical speckle imaging and machine learning, constructs a multi-state speckle dataset, and selects a pilot codebook based on state separability evaluation; in the reasoning stage, the corresponding speckle sequence is obtained by loading the pilot image, the state representation vector is obtained through the shared encoder and the convergence operator, and the curvature and stress category are output; further, the error between the pilot true value and the current pilot reconstruction output is used to construct an online calibration signal, only a few step updates are performed on the FiLM parameter generation unit, adaptive compensation of the continuously drifting unknown physical state is realized; at the same time, the state representation vector is used to perform conditional modulation on the reconstruction decoder, and state-driven image reconstruction is realized; finally, the integration of physical state sensing and image reconstruction is realized. The application can effectively improve the adaptability of the system to the continuously drifting state, and improve the reconstruction quality and stability under the multi-state condition.

This invention relates to the field of bio-optical imaging technology, specifically to an organ status assessment method and organ perfusion system based on laser speckle imaging. The method utilizes high-frame-rate laser speckle imaging technology combined with a physiological signal gating algorithm. It extracts the original speckle image only during the diastolic window when organ motion is minimal. The original speckle image is then preliminarily corrected using a vibration-speculiar distortion model. Subpixel-level registration is then performed on the preliminarily corrected speckle image using optical flow, generating a high signal-to-noise ratio microcirculation perfusion distribution map free of motion artifacts. Based on the microcirculation perfusion distribution map, perfusion heterogeneity indices for each target assessment region are calculated to determine whether local blood flow abnormalities exist in the transported organ, thus achieving status assessment and real-time monitoring of the transported organ. This assessment method is applicable not only to organ transport but also to organ quality evaluation and immediate post-transplant assessment scenarios.

The application discloses a multimode fiber speckle physical state sensing and image reconstruction integrated method and system, relates to the technical field of optical speckle imaging and machine learning, constructs a multi-state speckle dataset, and selects a pilot codebook based on state separability evaluation; in the reasoning stage, the corresponding speckle sequence is obtained by loading the pilot image, the state representation vector is obtained through the shared encoder and the convergence operator, and the curvature and stress category are output; further, the error between the pilot true value and the current pilot reconstruction output is used to construct an online calibration signal, only a few step updates are performed on the FiLM parameter generation unit, adaptive compensation of the continuously drifting unknown physical state is realized; at the same time, the state representation vector is used to perform conditional modulation on the reconstruction decoder, and state-driven image reconstruction is realized; finally, the integration of physical state sensing and image reconstruction is realized. The application can effectively improve the adaptability of the system to the continuously drifting state, and improve the reconstruction quality and stability under the multi-state condition.