5results about How to "Reduced imaging time" patented technology

The application discloses a kind of super-resolution imaging method and device based on quantum correlation photon parallel collection, the present application uses optical beam splitter to divide the fluorescence detected in microscope into two beams again into parallel detection system, two-way parallel detection can realize more efficient collection to fluorescence correlation photon pair after correction alignment, to reach better image quality.Compared with single parallel detection light path, the present application is used in quantum dot and solid defect with single-photon source characteristics;The present application can realize resolution improvement without improving laser power by using simple beam splitting second-order correlation measurement.Compared with existing quantum correlation imaging technology, the two-way parallel collection mode designed in the present application can perform coincidence measurement in space-time, and more coincidence photon information is retained, the imaging time is shortened, which can be applied in different super-resolution light paths, and the application range of quantum correlation photon detection technology is widened.

This invention relates to the field of monitoring corrosion morphology and pH dynamic distribution in steel, and particularly to a rapid and intelligent monitoring method and system for in-situ monitoring of pitting morphology and surrounding pH dynamic distribution during electrochemical testing of steel pitting corrosion. First, an in-situ steel test sample with an observation surface is prepared and encapsulated, and then horizontally mounted in an adjustable electrolytic cell. Next, a methyl orange calibration solution with a pH gradient of 1-7 is prepared, and images of the sample at different pH values ​​are captured and imported into the system for calibration, establishing a quantitative mapping relationship between pH and the Lab values ​​of the calibrated images. Finally, in-situ electrochemical testing is conducted in a colorless salt test solution containing the same concentration of methyl orange, simultaneously monitoring the morphology of pitting initiation and development, as well as the dynamic evolution of the surrounding pH. This system can achieve millisecond-level dynamic in-situ monitoring of the spatial distribution of pH around pitting corrosion during the corrosion growth process, and can continuously capture real-time pH evolution information during the initiation and expansion of pitting corrosion.

This invention provides a three-dimensional full-focusing ultrasound imaging method based on a frequency-wavenumber domain row-column addressable array, belonging to the field of three-dimensional full-focusing ultrasound. The method includes the following steps: using a row-column addressable array with a total of N+N transmitting elements to perform ultrasonic scanning on a medium to obtain acquired signals; based on the acquired signals, performing spatial sampling to obtain a three-dimensional voxel network; using a frequency-wavenumber domain method to beamform the radio frequency data corresponding to the three-dimensional voxel network; and performing envelope processing on the beamformed data to form a three-dimensional image. This invention's beamforming method for three-dimensional full-focusing ultrasound imaging based on a frequency-wavenumber domain row-column addressable array significantly reduces the number of elements and beamforming channels required for three-dimensional imaging by using a row-column addressable array, while providing a larger imaging area. The imaging process employs full-matrix capture to obtain high-resolution images, and the frequency-wavenumber domain beamforming method significantly shortens the imaging time.

This invention discloses a multi-channel light-slice microscopic imaging device. The image acquisition module includes multiple image detectors. A laser array emits multiple excitation beams of different wavelengths, which are then combined into a single incident beam by an optical path module. This incident beam passes through a scanning galvanometer and an imaging module before illuminating the sample on a stage mounted on a three-dimensional displacement platform. The imaging objective in the imaging module collects fluorescence signals from the sample, which are then split by the beam-splitting module to form multiple fluorescence signals of different wavelengths and projected onto the multiple image detectors. Each image detector forms an image imaging channel. Multiple image imaging channels receive multiple fluorescence signals of different wavelengths and transmit them to the corresponding image detectors. The three-dimensional displacement platform enables three-dimensional displacement movement of the sample slice. By employing a strategy of continuous motion imaging of the sample slice and simultaneous detection and acquisition of fluorescence signals by multiple image detectors, the time interval between sample preparation and imaging, as well as the pauses during imaging, can be reduced.

The application discloses a spectral super-resolution method based on a variational autoencoder, and comprises the following steps: inputting a target RGB image into a first convolutional layer of a spectral super-resolution network to obtain a plurality of feature maps containing shallow layer features corresponding to the target RGB image; inputting the feature maps into an attention mechanism module of the spectral super-resolution network to perform feature mapping on the feature maps; inputting the feature maps subjected to the feature mapping into a second convolutional layer of the spectral super-resolution network to reconstruct a target hyperspectral image corresponding to the target RGB image; and training the spectral super-resolution network according to a first hyperspectral image and a first RGB image extracted by the variational autoencoder, wherein the first hyperspectral image is reconstructed by the untrained spectral super-resolution network on the basis of a training RGB image. The target RGB image is acquired by a common camera, so that the image acquisition difficulty is low, and the hyperspectral image is reconstructed by the spectral super-resolution network, so that the imaging time is short, and the method can be widely applied to the field of spectral super-resolution.