5results about How to "Clean background" patented technology

The invention provides a lens-free dynamic imaging system and a lens-free dynamic imaging method with distinguishable motion. The system comprises a laser light source, a binary optical mask, an image sensor and image processing equipment, coherent light emitted by the laser light source is coded and modulated by the binary optical mask and then propagated to the image sensor, the image sensor collects multiple frames of diffraction images of a moving sample and transmits the collected images to the image processing device, and the image processing device reconstructs the images through a neural network method. According to the image reconstruction method, physical priori knowledge of a lensless diffraction propagation model is fused into implicit neural representation, and a space-time priori loss and bidirectional memory training method is designed for network training, so that artifacts and blur generated by moving target imaging can be effectively reduced, and a high-resolution and high-quality imaging result can be obtained.

The invention belongs to the field of biotechnology and enzymology, and particularly relates to a thermostable variant of MDH and application thereof. The amino acid sequence of the mutant is shown as any one of SEQ ID NO: 1 to SEQ ID NO: 23. The catalyst has a normal MDH catalysis function and shows high temperature stability. The thermal stability variant of MDH provided by the invention can be used for replacing traditional MDH to be applied to clinical diagnostic reagents, cold-chain transportation and low-temperature storage are avoided, the cost is reduced, and the shelf life is prolonged.

The application provides a tunnel lining concrete evaluation method and system, and belongs to the technical field of tunnel lining quality detection. The method comprises the following steps: a data acquisition and matrix construction step: obtaining full polarization data and establishing a complex domain scattering matrix of each sampling point; a spatial phase locking step: constructing a spatial phase locking loop, tracking the spatial phase of the steel bar in real time, determining the locking state according to the phase difference and determining the steel bar high-weight prediction area; a polarization feature calculation step: in the steel bar high-weight prediction area, performing eigenvalue decomposition on the local covariance matrix, calculating the polarization entropy and the average scattering angle; an adaptive projection stripping step: generating an adaptive gain factor and adjusting the projection strength of the projection matrix, performing projection transformation on the original polarization vector to obtain a residual signal; and an evaluation step: reconstructing a defect signal based on the residual signal to evaluate the quality of the tunnel concrete lining. The scheme can improve the accuracy of tunnel concrete lining quality evaluation.

The invention belongs to the technical field of cultural relic protection, and particularly discloses a damaged fresco line draft detection method based on an uncertainty principle, which comprises the following steps: establishing a line draft detection network model: the line draft detection network model is a full convolutional network model taking an encoder-decoder as a basic framework; in the decoding stage of the decoders, two decoders are adopted to generate a mean value and a variance respectively; and inserting a multi-scale weight score fusion module and a deep supervision shallow layer module into the online manuscript detection network model, and capturing inherent noise in training data based on data uncertainty. According to the method, the noise information in the mural image is measured by adopting an uncertainty principle, direct removal of the noise information in the mural is realized through learning of data uncertainty, and the high-quality line draft image which is clean in background, clear in line and free of noise interference is generated.

The application relates to a characteristic chromatogram of Qinshi Jiedu granules and a construction method and application thereof, and belongs to the technical field of quality detection of traditional Chinese medicine preparations. High performance liquid chromatography is adopted; test product solution, control product solution and each single medicine control solution are respectively injected into a high performance liquid chromatograph for determination; a chromatogram is recorded; a characteristic chromatogram of the Qinshi Jiedu granules is established under the same chromatographic condition; 14 characteristic peaks are calibrated; and quality detection is carried out on the Qinshi Jiedu granules. The characteristic chromatogram of the Qinshi Jiedu granules established based on the high performance liquid chromatography technology can comprehensively, systematically and objectively evaluate the quality of the Qinshi Jiedu granules.