5 results about "Multiple diffraction" patented technology

This invention relates to the field of optical detection technology, specifically a multifocal parallel phase extraction and alignment system based on a spatial light modulator, comprising: a wavefront modulation module, a parallel detection module, an information extraction module, a parameter calculation module, and a correction and execution module. The wavefront modulation module loads a phase modulation pattern through a spatial light modulator, generating a complex wavefront containing multiple diffraction orders via the objective lens, forming multiple spatially separated detection focal spots on the sample surface. The parallel detection module receives the reflected light signals from each focal spot in parallel through an array detector. The information extraction module analyzes the signals and extracts the phase offset of each focal spot, constructing a mapping set between position and phase offset. The parameter calculation module calculates the tilt angle and field curvature distribution parameters based on this set. The correction and execution module generates a comprehensive correction signal to drive the objective lens or sample stage to perform multidimensional attitude adjustments. This system achieves multifocal parallel detection and synchronous parameter calculation, improving alignment efficiency and accuracy.

The application provides an image recognition simulation model and system, the image recognition simulation model comprising: an optical diffraction neural network for a handwritten digit recognition task, the optical diffraction neural network comprising: an input layer, a diffraction layer and an output layer; the input layer modulates incident light into a wavefront array carrying image information; the diffraction layer performs multiple diffractions on the light output by the input layer to simulate a convolution weight matrix, and adjusts a phase distribution in a manner of error back propagation; and the output layer generates a focused light spot corresponding to the number of categories, the focused light spot focusing on a number corresponding to a plurality of detection points, and a detection surface light spot intensity distribution of the focused light spot is used to represent a classification probability. Through nano structure design, high degree of freedom regulation of light field amplitude, phase and polarization is realized in a two-dimensional plane; meanwhile, through multi-layer cascading extension network depth, feature abstraction capability is improved, nonlinear mapping is realized through multi-layer cascading diffraction, and a classification light intensity distribution is directly output, and the light intensity distribution represents a classification result.

The embodiment of the application discloses a kind of multi-node structure light field generation devices with interactive network characteristics, including transparent substrate and multiple diffraction modulation units, diffraction modulation unit is sheet fork grating, the number of sheet fork grating is at least three pieces, sheet fork grating is integrated and engraved on the surface of transparent substrate by laser direct writing technology, each sheet fork grating has independent light field phase modulation function, from the first engraved sheet fork grating, from below to above, each sheet fork grating is rotated around the axis in the same direction relative to the sheet fork grating of adjacent lower piece, and a constant misregistration angle is generated, the misregistration angle refers to the relative rotation angle between two adjacent sheet fork gratings, the product of the number of sheet fork gratings and misregistration angle is less than or equal to 360 °, the advantage is that multi-node structure light field with interactive network characteristics can be realized in high-dimensional parameter space, and the types and complexity of the generated light field are enriched.

The application discloses an optical neural network device and an optical device, and belongs to the technical field of optical chips, and comprises a waveguide structure, the waveguide structure is used for propagating an optical signal; at least one first diffraction structure; at least one second diffraction structure; the first diffraction structure and the second diffraction structure are integrally formed with the waveguide structure, and the first diffraction structure and the second diffraction structure are used for adjusting at least one of phases, intensities, directions, polarizations and modes of the optical signal; the optical signal enters the waveguide structure through the first diffraction structure, the optical signal processed by the first diffraction structure is transmitted to the second diffraction structure, and the optical signal processed by the second diffraction structure is emitted from the waveguide structure. The application sets multiple diffraction structures on the waveguide structure, and the multiple diffraction structures are integrally formed with the waveguide structure, so that the optical path transmission of the optical neural network device is more stable.

This invention provides a method, apparatus, device, and storage medium for generating cell motion trajectory curves. The method includes: acquiring multiple diffraction ring images of microspheres engulfed by cells; determining multiple three-dimensional coordinates of the microspheres based on the multiple diffraction ring images; determining the multiple three-dimensional coordinates of the microspheres as multiple three-dimensional coordinates of the cell; and generating a three-dimensional motion trajectory curve of the cell based on the multiple three-dimensional coordinates of the cell. This allows for the acquisition of multiple diffraction ring images of microspheres engulfed by cells and the automatic determination of multiple three-dimensional coordinates of the microspheres in the multiple diffraction ring images. Because the cell engulfs the microspheres, the microspheres are subject to dual constraints from the cell's cytoskeleton and cell membrane, allowing the microspheres to effectively track and reproduce changes in cell motion. The three-dimensional motion trajectory curve of the cell more realistically reflects changes in cell motion in three-dimensional space, increasing the realism of the cell motion changes reflected by the three-dimensional motion trajectory curve.