7 results about "Microscope imaging" patented technology

This invention discloses a method for correcting image distortion in a miniature microscope based on optical simulation and displacement field driving, comprising the following steps: establishing an optical model of the miniature microscope, performing field curvature analysis, and generating a grid distortion map; extracting distortion data from sampling points and converting coordinate values ​​to pixel units according to the pixel size of the CMOS sensor; constructing a continuous displacement field covering the entire image using an interpolation algorithm based on the discrete sampling point data; performing geometric correction on the distorted image based on the displacement field, specifically including: correcting the original distorted image to a geometrically correct image based on the displacement field, employing an inverse mapping strategy, for each pixel position in the corrected image, querying its corresponding position in the original distorted image, and resampling; and evaluating and visualizing the correction results. This invention improves the accuracy of image distortion correction and enhances the imaging quality of the miniature microscope.

The application discloses a kind of blood vessel microfluidic device and method suitable for glycolipid drug test, the device constructs three-dimensional biomimetic microvessel chip using induced pluripotent stem cells, and integrates multiple sensors;Through integrated environmental control module, programmed blood flow loading and drug exposure are realized.Intelligent analysis system includes multimodal intelligent observation module, based on microscope imaging and artificial intelligence speed measurement technology, three-dimensional flow field is inverted;Microcirculation digital twin module reconstructs blood vessels based on medical imaging and constructs calibratable hemodynamic model, for simulation and prediction;And wet-dry interaction module, through two-way interface, realizes "experiment-simulation" closed loop, injects entity data into digital twin to calibrate, and converts the prediction instruction of digital twin into chip control command to drive verification experiment.The system realizes complete technical chain from biomimetic model construction, intelligent observation, digital twin simulation to active experiment optimization.

This invention discloses a method for real-time monitoring of the inhibitory effect of a small molecule drug, vorinostat, comprising the following steps: constructing a fluorescence confocal electrochemical impedance microscopy imaging system using a WS2 chip as the working electrode; immobilizing probe protein molecules on the surface of the WS2 chip; applying an electrical signal to the WS2 chip after probe protein molecule immobilization, and monitoring the inhibitory effect of the small molecule drug by the change curve of the amplitude signal over time. In this invention, when the small molecule drug binds to the probe protein molecules immobilized on the WS2 surface, the surface charge of the WS2 changes, and the inhibitory effect of the small molecule drug on the probe protein molecules is monitored by the change of the WS2 fluorescence signal.

This invention relates to the field of microscopy imaging technology, and more particularly to a method for acquiring microscope images. By inputting sample type data and environmental parameters of the environmental monitoring sample into a pre-trained adaptive imaging model, the model synchronously generates adaptive focusing and illumination parameters that match the current imaging environment. The microscope's focusing position, focusing step size, and focusing range are adjusted according to the adaptive focusing parameters, and the brightness, wavelength, and illumination angle of the illumination source are adjusted according to the adaptive illumination parameters. The environmental monitoring sample is then imaged under these adjusted focusing and illumination conditions to obtain a raw microscope image. Based on the environmental parameters, image restoration processing is performed on the raw microscope image to generate a target microscope image. This method solves the problem of balancing environmental adaptability and image quality in complex environmental monitoring scenarios with existing general-purpose microscopes, improving both target image quality and image adaptability.

The application discloses an image denoising method based on structure perception adaptive mask and gradient weighted learning, and belongs to the field of computer vision and image processing. The method comprises the following steps: a mapping relationship between structure features and an optimal mask strategy is established to realize differentiated processing of different structure regions; a dual-domain collaborative optimization gradient weighted loss function is proposed to enhance the model's ability to maintain structure consistency through joint constraints of a pixel domain and a gradient domain; and an edge quality perception multi-modal integration strategy is proposed to realize pixel-level adaptive fusion by establishing a mapping between edge preservation quality and prediction reliability. Experimental results prove that the application has achieved significant performance compared with the prior art, especially in processing images with complex structures, and has obvious advantages in retaining image structure characteristics and details, and is particularly suitable for processing professional images such as medical imaging and microscope imaging.

This utility model discloses an automatic cell counting device, relating to the field of biomedical engineering technology. It includes a base with a metering box fixedly connected to the left side of the top of the base. The automatic cell counting device is equipped with a polycarbonate filter membrane, a superhydrophilic coating, and a Venturi tube. In use, a mucus sample is placed on the polycarbonate filter membrane, first contacting the superhydrophilic coating to prevent the adsorption of mucin in the mucus. The sample then flows downwards into the polycarbonate filter membrane, where the mucus is filtered to obtain a single-cell suspension. This suspension flows downwards into the Venturi tube, creating a micro-negative pressure environment as the cells pass through, preventing mechanical shearing forces from damaging the cells. The filtered cells then fall into a collection tray, which is placed on a detection pool. The sample is then imaged using a microscope imaging head, and the images are automatically identified and counted using image processing algorithms. This addresses the problem of devices being unable to handle viscous samples.