10 results about "Optical fluorescence" patented technology

The application discloses a nonlinear Fourier reweighting image resolution enhancement method and system without a point spread function. The method comprises the following steps: acquiring an original digital image; performing Fourier transform on the original digital image to separate an amplitude spectrum and a phase spectrum; constructing a nonlinear mapping function with two adjustable parameters, and performing reweighting processing on the amplitude spectrum by using the function to balance high and low frequency energy of the amplitude spectrum and generate a new amplitude spectrum; recombining the new amplitude spectrum and the original phase spectrum; and performing inverse Fourier transform on the combined spectrum to output a resolution enhanced image. The application does not depend on PSF measurement or estimation, only needs one Fourier transform process, and has high calculation efficiency. The core construction is to directly reweight the amplitude in the frequency domain by using a specific nonlinear function, so that the ill-conditioned problem and artifacts of a traditional deconvolution algorithm are avoided. The application can be widely applied to optical fluorescence microscopy, astronomical imaging and clear processing of general digital images.

The disclosure describes apparatus and methods for multiplexed amplification and detection of nucleic acid targets in a sample. Embodiments of the present disclosure include a mechanical system configured to provide loading, vertical positioning and clamping of a chip; a thermal control system configured to maintain distinct temperatures of the chip, and an optical fluorescence imaging system.

This application belongs to the field of emotion monitoring technology, and provides a method and system for emotion monitoring and intervention based on multimodal neurochemical sensing. It acquires electroacoustic and optical fluorescence spectral signals from a user's target tissue region through a wearable device, and identifies neurotransmitter system activity information through signal fusion and decoding. This information is then input into an individualized dynamic emotion monitoring model to obtain the user's current emotional state type and intensity. Combining these two indicators, an emotion instability index is calculated in real time. When the index exceeds an individualized critical threshold, a personalized intervention plan matching the instability characteristics is generated and executed. The critical threshold can also be dynamically adjusted based on the intervention effect and real-time physiological state. This invention achieves non-invasive neurotransmitter monitoring and emotion monitoring, assessment, and intervention, improving monitoring accuracy and the timeliness and personalization of intervention, and is applicable to fields such as medicine and education.

The application provides a portable full-automatic fluorescence spectrum sperm activity detection method and system, and belongs to the technical field of sperm activity detection. The method comprises the following steps: placing a semen sample to be detected into a detection kit to which a sperm activity fluorescence biological dyeing agent is added; the sperm activity fluorescence biological dyeing agent comprises a CM-Dil biological derivative activation dyeing solution; fluorescence spectrum information of the semen sample to be detected is acquired through a far-field optical fluorescence microscope and a microscopic optical information acquisition assembly; the fluorescence spectrum information is subjected to data analysis through a spectrum analysis system, so as to obtain survival rate information, development state information and activity classification information of sperm in the semen sample. The application realizes that a person to be detected can complete sperm activity detection by himself without going to a hospital; and the detection result contains the survival rate information, the development state information and the activity classification information of sperm in the semen sample, so that whether the person to be detected has the ability to reproduce can be accurately determined.

The invention relates to the technical field of battery discharge fault diagnosis, particularly discloses an aluminum air battery discharge fault diagnosis method and system, and realizes refined and intelligent fault diagnosis and isolation of an aluminum air battery block. The method comprises the following steps: acquiring the content of dissolved oxygen at a channel in a to-be-detected battery pack through optical fluorescence method dissolved oxygen sensors arranged in a cooling channel and an exhaust channel of the battery pack, executing discharge analysis and air circulation operation analysis, preliminarily judging an air circulation fault, and generating a circulation early warning signal; obtaining the battery parameters of the to-be-detected battery pack, determining the battery parameters of the battery packs in different blocks based on a preset division strategy, and carrying out the feature extraction, and obtaining the features of a target block; dynamic data of different blocks in the discharging process are obtained, and the deviation between the actual average dynamic data range and the expected dynamic data range is analyzed; and performing evaluation according to the deviation corresponding to the target block and the features of the target block, and screening fault batteries.

This invention discloses an ultra-wideband endoscopic imaging device for short-wave infrared fluorescence imaging, used for minimally invasive in vivo imaging. It includes an illumination module, a broadband image transmission module, an imaging module, and an image processing module. The illumination module consists of a light source and a light-guiding fiber, used to generate illumination light in the ultraviolet to short-wave infrared band and transmit the illumination light to the broadband image transmission module. The broadband image transmission module consists of a low-interface optical imaging channel and a light-guiding illumination channel, used to illuminate the imaging target and excite the target fluorescence, and to acquire image signals in the ultraviolet to short-wave infrared band. The imaging module consists of a filter and an imaging camera. The imaging camera can be a broadband response image sensor or a combination of cameras operating in different bands, used to convert optical images of different bands into image data. The image processing module is used for real-time registration and fusion of image data from different bands and for display.

This application provides a method and related equipment for DNA integrity assessment based on single sperm Raman spectroscopy, belonging to the field of sperm quality assessment technology in assisted reproductive technology. This method, based on a machine learning algorithm, directly assesses DNA integrity using the Raman spectra of single sperm, thereby achieving non-destructive screening of individual high-quality sperm in assisted reproductive technology. The process of constructing the algorithm training sample dataset includes a step-by-step fixation and analysis method for sample single sperm: first, Raman spectroscopy testing is performed, followed by fluorescence staining analysis, reducing the impact of sperm position changes during detection, analysis, or staining. Then, optical and fluorescence images of single sperm within preset shape units are matched to determine the validity of the sample single sperm. Finally, a training sample dataset is constructed based on the relevant data of valid single sperm, establishing a correlation between the Raman spectrum of the same single sperm and its sperm chromatin structure analysis results.

An artificial intelligence (AI)-based autonomous system integrated with an autonomous water-cleaning vehicle that predicts and selectively removes floating waste by accurately analyzing algae type, volume, and vitality, thereby ensuring targeted removal to maintain ecological balance and enhance water quality in water bodies. The AI-based autonomous system comprises a computing device, an autonomous water-cleaning vehicle, a network, a server, a database, and a user device. The autonomous water-cleaning vehicle comprises a floating body, a plurality of propelling wheels, one or more motors, a primary supporter, a secondary supporter, a first extended column, a second extended column, a supporting frame, a driving unit, a first roller, a second roller, an inclined conveyor belt, a counterweight, a container, an AI imaging unit, a water-salinity sensor, the optical fluorescence-sensing unit, a navigation unit, and a controller.

The invention belongs to the technical field of emotion monitoring, and provides an emotion monitoring and intervention method and system based on multi-mode neurochemical sensing, and the method comprises the steps: obtaining an acoustoelectric dynamic spectrum signal and an optical fluorescence spectrum signal of a target tissue region of a user through a wearable device, and recognizing the activity information of a neurotransmitter system through signal fusion and decoding; inputting the emotion information into an individualized dynamic emotion monitoring model to obtain the current emotion state type and intensity of the user; the emotional instability index is calculated in real time by combining the two methods, when the index exceeds an individualized critical threshold value, an individualized intervention scheme matched with instability characteristics is generated and executed, and the critical threshold value can be dynamically adjusted based on the intervention effect and the real-time physiological state. According to the invention, neurotransmitter noninvasive monitoring and emotion monitoring, evaluation and intervention are realized, the monitoring accuracy and intervention timeliness and personalization are improved, and the method is suitable for the fields of medical treatment, education and the like.

An artificial intelligence (AI)-based autonomous system integrated with an autonomous water-cleaning vehicle that predicts and selectively removes floating waste by accurately analyzing algae type, volume, and vitality, thereby ensuring targeted removal to maintain ecological balance and enhance water quality in water bodies. The AI-based autonomous system comprises a computing device, an autonomous water-cleaning vehicle, a network, a server, a database, and a user device. The autonomous water-cleaning vehicle comprises a floating body, a plurality of propelling wheels, one or more motors, a primary supporter, a secondary supporter, a first extended column, a second extended column, a supporting frame, a driving unit, a first roller, a second roller, an inclined conveyor belt, a counterweight, a container, an AI imaging unit, a water-salinity sensor, the optical fluorescence-sensing unit, a navigation unit, and a controller.