4results about How to "Quick scan" patented technology

This invention relates to the field of microscopy application technology, and in particular to a SICM scanning control method and related device based on feedback quantization. The method acquires the test height, initial scanning speed, initial safe height of the test point, first speed adjustment start point, and second speed adjustment start point of the test point. It controls the scanning probe to descend from the initial safe height of the test point to the first speed adjustment start point at the initial scanning speed, intervenes with first dynamic speed adjustment, continues to descend to the second speed adjustment start point, intervenes with second dynamic speed adjustment, and continues descending until the probe detects a sudden change in ion current and stops descending. This control method solves the problems of low scanning time resolution and poor safety in existing scanning ion conductivity microscopes by setting an initial speed adjustment point that dynamically adjusts the speed according to the probe's descent position.

This invention discloses an intraoral 3D scanner, scanning method, system, and system design method. The scanner includes a dental arch tray, multiple 3D scanning heads, and a swinging drive device. The multiple 3D scanning heads are located on the dental arch tray. The swinging drive device is connected to the multiple 3D scanning heads and drives them to swing. During the swinging process, the multiple 3D scanning heads scan the target oral cavity where the dental arch tray is occluded. The technical solution of this invention can reduce scanning time and learning costs.

This invention relates to the field of microscopy and discloses a light-sheet microscope system, comprising: a laser source for generating excitation light; a first optical element group for processing the excitation light into an initial light sheet; a beam splitting system for splitting the initial light sheet into multiple branch beams; multiple illumination objectives, each branch beam illuminating an independent illumination objective, with each branch beam through the illumination objective being uniformly arranged around the sample and all pointing towards the sample; a detection objective positioned below the sample; and a camera positioned in the imaging optical path of the detection objective. This system ensures that any point on the sample is illuminated by light sheets from at least two directions, effectively avoiding the problem of some areas in shadowed regions of large-sized samples, samples with poor transparency, or samples with asymmetrical complex structures. This not only improves image quality but also enables rapid scanning of large samples.

The invention discloses a multi-input multi-output antenna decoupling performance prediction method based on deep learning, belongs to the technical field of computer-aided electromagnetic system design and prediction, is used for antenna decoupling performance prediction, and comprises the steps of determining key size parameters of a to-be-optimized antenna, performing parameter scanning on a change range of the key size parameters, and calculating the decoupling performance of the to-be-optimized antenna. Full-band S parameter simulation data is obtained, and an original data set is formed; expanding the data volume of the original data set by adopting an SMOTE algorithm, and generating an enhanced data set; and an antenna decoupling performance prediction model is constructed and trained, a to-be-optimized antenna is input, and a corresponding full-band S parameter curve final prediction result is output. According to the method, high-dimensional data are effectively expanded by introducing the SMOTE algorithm, the problem that small sample data in the field of electromagnetic simulation cannot support deep learning model training is solved, a DNN model is constructed to establish nonlinear mapping of a continuous S parameter curve, and the S parameter of the antenna can be comprehensively evaluated instead of only limiting discrete frequency points.