184 results about "Optic nerve" patented technology

The subject invention pertains to an artificial intelligence-aided classification system for Alzheimer's disease (AD) screening from retinal photographs, which includes a three-in-one deep learning (DL)-based pre-diagnosis module for image assessment and a DL-based AD classification module with additional heatmaps for visualization. For the AD classification module, three kinds of DL models predict the AD-dementia / non-demented probabilities from three directions with both eyes' four images (Direction-1), both eyes' four images combing demographical information (Direction-2), and a single eye's two images (Direction-3), respectively. For the pre-diagnosis image assessment, embodiments provide one pre-processing model, with three additional models for each of the three classification tasks, including image-quality (e.g., gradable or ungradable), field-of-view (e.g., macula-centered or optic nerve head-centered), and laterality-of-the-eye (e.g., right or left eye). Also included is a cloud-based web application that can output the pre-diagnosis image assessment and a simple binary AD-dementia / non-demented classification based on retinal photographs.

The subject invention pertains to deep learning (DL) systems and methods for the binary classification of Alzheimer's Disease. Optical coherence tomography (OCT) generated reports were used, and the images were grouped into 3 different inputs: (1) an optic nerve head (ONH) model including a retinal nerve fiber layer (RNFL) thickness map, a RNFL deviation map, and an ONH-centered en face image; (2) a Macula model including a ganglion cell inner plexiform layer (GCIPL) thickness map, a GCIPL deviation map, a macular thickness map, and a macula-centered en face image; and (3) a General model including all images of (1) and (2). A fusion network is provided to analyze the plurality of images from a single eye for classification. The fusion network includes Feature Extraction, Feature Fusion, and Feature Reconstruction. Ensemble learning is provided to advantageously combine several baseline models to build a single but more powerful model.

Disclosed are adjustable accommodating intraocular lenses and methods of adjusting accommodating intraocular lenses post-operatively. In one embodiment, an adjustable accommodating intraocular lens comprises an optic portion and a peripheral portion. At least one of the optic portion and the peripheral portion can be made in part of a composite material comprising an energy absorbing constituent and a plurality of expandable components. At least one of a base power and a cylindricity of the optic portion can be configured to change in response to an external energy directed at the composite material.

The invention discloses a retina thickness prediction method and system based on a multi-modal image, and the method and system achieve the effective estimation of the retina thickness under a low-cost condition through feature alignment and fusion modeling, and improve the basic screening and follow-up visit capability. According to the invention, through fusion of the multi-mode retina image data, the structure and function information of the optic nerve can be more comprehensively obtained, and the prediction accuracy of the thickness of the retina nerve fiber layer (RNFL) is improved. The OCT high-resolution hierarchical structure and the wide-view texture features of the eye fundus image are combined, so that anatomy and pathological states of optic nerves can be truly restored. The method can be used as an auxiliary method for early screening and early warning of optic neurodegenerative diseases such as glaucoma, and provides support for low-cost and high-efficiency primary screening and clinical auxiliary decision making.

An apparatus and method for aiding in the detection of dementia, concussion, other neurologic conditions, retinal, and optic nerve conditions. The apparatus enables the diffusion coefficient of the tissue to be ascertained and studied by directing the light from a laser or other coherent light source at the patient's retina, optic nerve or choroid and measuring the fluctuations in the intensity of the back-scattered light caused by the movement of light scatterers in the tissue. By comparing the measurements to a normal database, or to the subject's previous measurement, in combination with an eye examination and OCT image / measurement the changes caused by the disease and the effectiveness of therapy can be ascertained. The disclosed apparatus allows the incident and detection optics to be attached to ophthalmic devices typically used in ophthalmologic care. Also, where both the incident laser fiber optic and the detection fiber optic are directly connected to goggles, one or more or all of the above-described mirrors may not be necessary, as both fiber optics are preferably directly directed into the eye.

The invention relates to the field of damaged vision recovery of artificial retinas, and particularly discloses a preparation method of a neuromorphic visual interface for recovering the pattern recognition capability of a blind animal. The interface is composed of a photo-thermal assembly, a photoelectric assembly and an electrode array. The photo-thermal assembly is dispersed in a continuous medium, can rapidly and transversely transfer a thermal signal, and is used for repairing the rapid extraction process of an animal visual pathway on a graphic contour; the electrode arrays are located on the upper surface and the lower surface of the photoelectric assembly, can vertically transmit electric signals in a delayed mode and correspond to the follow-up pattern detail machining process of a visual path. The interface also reproduces a central-peripheral activation-inhibition effect formed by retinal horizontal / bipolar cell transverse / longitudinal signal transmission, and realizes multi-channel signal connection with a visual center. The technology is mature, processing is simple, an artificial system which is highly matched with animal optic nerve signals and functions is developed, the artificial system is different from existing light magical vision, and recovery of the pattern recognition function is achieved.

A system for hypertensive retinopathy (HTNR) detection includes a processor and a memory, including instructions stored thereon, which when executed by the processor, cause the system to: preprocess a retinal image using contrast enhancement, noise reduction and / or resolution normalization; segment a plurality of vessels from the preprocessed retinal image to generate a vessel segmentation map; detect a retinal marker, a vascular marker and / or an optic disc marker in the preprocessed retinal image using a first machine learning model; generate a severity score based on the detections; determine that the severity score exceeds a predefined threshold; and generate an output indicating a presence of HTNR based on the vessel segmentation map and the severity score using a second machine learning model.

The invention provides an implantable retina photon nerve repairing method and device, and relates to the field of implantable nerve regulation and control. The method comprises the following steps: acquiring a target image in a current visual field of a user based on external wearing equipment; adopting an edge detection algorithm to extract visual key features in the target image; based on the visual key features, time control pulse coding is adopted to generate a target stimulation pattern; performing neural feedback acquisition based on the target stimulation pattern, and acquiring neural electrical activity information through a feedback electrode preset on an implanted chip; based on the neural electrical activity information, the target stimulation pattern is dynamically adjusted through an adaptive optimization algorithm to perform optic nerve repair. The problem that a traditional implantable retina photon nerve repairing method is poor in retina photon nerve repairing effect is solved.

The invention relates to spatial information compression and delivery, and belongs to the field of information delivery. The invention provides a device for delivering event information to a nervous system after spatial compression and a method for fine regulation and control of large-scale neurons. The device comprises an imaging system for respectively coding event information into a plurality of patterns, and a plurality of optic nervous systems for regulating and controlling the activity of a single neuron in a nervous system by using a minimum information unit coded in the patterns, and the pattern projection system is used for respectively projecting the plurality of patterns coded by the imaging system to each optic nerve system. According to the device and the method, the problems that an existing neural electrode is low in information transmission efficiency, immunological rejection exists between the neural electrode and a nervous system, and nervous tissues are mechanically damaged are solved, fine regulation and control of all neurons in a large-scale neuron cluster are achieved, and high-bandwidth input of multi-dimensional event information to a whole brain area of the nervous system is achieved.

An apparatus for monitoring Intracranial Pressure (ICP) includes a non-invasive, flexible, wearable device (30), (60) with micro ultrasonic transducer arrays (32) fixed thereon. The wearable device (30), (60) is attached to the closed eyelid (21) of a conscious or unconscious patient with an adhesive (48). Using ultrasound sonography, the ultrasonic transducer arrays (32) on the wearable device (30), (60) image the optic nerve (26) behind the eyeball (20) to measure the Optical Nerve Sheath Diameter (ONSD). The ONSD provides an indication of the ICP in real time.

The invention provides a kit for detecting Leber hereditary optic neuropathy and application, and relates to the technical field of biology. The kit comprises: (1) an alkaline lysis solution for releasing mitochondrial DNA in a blood sample; (2) an RPA isothermal amplification reaction system for amplifying the target sequence, wherein the RPA isothermal amplification reaction system comprises an RPA amplification primer; (3) a CRISPR-Cas12a (Clustered Regularly Interspaced Short Palindromic Repeats / Cas12a) system for carrying out high-specificity cutting on a mutation site, wherein the CRISPR-Cas12a system comprises crRNA (Complementary Ribonucleic Acid); and (4) lateral flow chromatography test paper for realizing visual detection. By simplifying the detection process, the kit greatly improves the accessibility of gene diagnosis, so that the gene screening technology can break through the limitation of traditional equipment and is popularized to a wider application scene, and the development of the gene diagnosis technology in the direction of portability, low cost and high precision is promoted. The innovation not only brings a convenient detection tool for gene mutation screening, but also lays a foundation for future gene therapy and personalized medical treatment.

A method for generating an optic nerve pathway, using matches of MRI images and OCT images, in which low-resolution MRI head images capable of showing the eyeball and optic nerve are matched with corrected OCT eyeball cross-sectional images to model the eyeball and optic nerve pathway in a 3D manner and deformed states of individual eyeballs and optic nerves are identified through the eyeball model and optic nerve model constructed through the 3D modeling, whereby the possibility of myopia and glaucoma can be predicted.

The invention provides an image-based ophthalmology robot control method, system and device and a medium, and the method comprises the steps: obtaining an intraoperative three-dimensional OCT image sequence and a visual evoked potential signal, and segmenting an optic nerve region to generate an optic nerve space model; performing dynamic registration on the optic nerve space model and the visual evoked potential signal according to an eyeball motion compensation algorithm to generate a fusion data volume; calculating a visual function injury risk coefficient and a postoperative vision recovery predicted value through a pre-trained neural network prediction model based on the fusion data body and the real-time operation parameters of the robot end instrument; and dynamically generating a robot operation correction control instruction according to the injury risk coefficient and the postoperative vision recovery predicted value. By adopting the method, the individualized precision of an operation scheme and the postoperative visual function protection effect can be improved.

The invention relates to an artificial visual nervous system based on a bimodal neural device, which comprises a bimodal visual information calculation array composed of a physical convolution kernel array and a synaptic calculation array, and is characterized in that the physical convolution kernel array is used for receiving an ambient light signal and converting the ambient light signal into an electric signal for output; the synaptic calculation array is used for receiving the electric signals and converting the electric signals into visual signals, and the physical convolution kernel array and the synaptic calculation array are each composed of a plurality of bimodal transistors. The method has excellent bimodal cooperative computing capability, and realizes image feature extraction and preprocessing by simulating a receptive field mechanism (excitement / inhibitory response) of the retina bipolar cells through the physical convolution kernel array; the synaptic plasticity (LTP / LTD mechanism) of a central nervous system is simulated in combination with a synaptic calculation array, advanced calculation of visual signals is completed, and a complete optic nerve bionic system is formed by means of the array composed of single devices.

The present invention relates to RNAi agents, e.g., double stranded RNA (dsRNA) agents, targeting a complement component C3 (C3) gene. The invention also relates to methods of using such RNAi agents to inhibit expression of a C3 gene and to methods of preventing and treating a C3-associated disorder, e.g., paroxysmal nocturnal hemoglobinuria (PNH), atypical hemolytic uremic syndrome (aHUS), atypical hemolytic uremic syndrome (aHUS), neuromyelitis optica (NMO), multifocal motor neuropathy (MMN), myasthenia gravis (MG), C3 glomerulonephritis, or systemic lupus erythmatosis.

The present invention discloses a brain vision detection method based on neurofeedback for scientific research laboratories, comprising the following steps: fusing the depth information of a visual target on the basis of detecting the two-dimensional position information of an image to achieve visual target detection in a three-dimensional space and obtain the three-dimensional coordinates of the visual target; fitting a response model of brain vision according to the optic nerve feedback signal and the three-dimensional coordinates of the visual target. The present invention takes a deep learning algorithm as the core and integrates the depth information of traditional machine vision, solves the deficiency that a single deep learning algorithm can only obtain two-dimensional coordinate information, and obtains complete three-dimensional coordinates; fitting a response model of brain vision according to the optic nerve feedback signal and the three-dimensional coordinates of the visual target for visual detection of the brain vision to be predicted, and the model recognition improves the efficiency of visual detection and reduces the complexity.

The invention relates to the technical field of medical apparatus and instruments, in particular to an intraoperative viscoelastic agent suction instrument for intraocular lens implantation, which comprises a replacement host, a liquid supply pump, a suction pump and a controller electrically connected with the liquid supply pump and the suction pump, the replacement main machine is further provided with a liquid inlet and a liquid outlet which are communicated with the liquid supply pump, and a suction port and a liquid discharge port which are communicated with the suction pump. An input connector and an output connector are arranged at one end of the handle, a replacement pipe is arranged at the other end of the handle, a liquid adding hole and a suction hole are formed in the free end of the replacement pipe, the liquid adding hole is communicated with the input connector, and the suction hole is communicated with the output connector. By balancing perfusion and suction amounts, intraoperative intraocular pressure fluctuation is avoided, intraoperative intraocular pressure caused by high intraocular pressure or intraocular pressure caused by excessive suction is avoided, and therefore the risk of optic nerve or retina injury is reduced.

The invention provides an intermediate-frequency carrier and low-frequency modulated wave composite output control method, which comprises the following steps of: acquiring spatial intensity change distribution of a composite waveform in optic nerve tissue, and acquiring an actual measurement value of a carrier intensity distribution field by combining a microtube skeleton polymerization rate and an extension orientation angle of growth cone propulsion, forming basic data of an initial distribution field; extracting candidate output of an optimal waveform modulation combination from the adjusted envelope gradual change speed control combination, comparing an actual path of directional extension with an expected damage repair track through track overlapping degree measurement, and determining a quantization result of the deviation degree of the extension path; and performing deviation degree classification processing on the extension path deviation degree quantification result, obtaining a high deviation subset in a classification result, generating a compensation signal in combination with an aggregation rate change development trend, and obtaining a compensated composite waveform output combination.

The invention relates to the technical field of lenses for laser, and discloses a novel medical optical lens which is characterized in that a sliding groove is formed in one side of the lens, an edge groove is formed in the other side of the lens, the sliding groove corresponds to the edge groove in position, a light beam generates a diffraction phenomenon after entering the edge groove, and after passing through the interior of the lens, the light beam passes through the edge groove. Light beams are diverged by the sliding grooves, so that the light beams are distributed on a large surface, harmful high power density cannot be generated, and as the light rays are emitted from a larger scattering surface, the diffusion range is larger, and eye lenses cannot be focused on fine light spots, the retina and optic nerves cannot be damaged.

The utility model aims to provide an auxiliary device for taking out an eyeball retina specimen of an experimental mouse, which relates to the technical field of medical instruments and is characterized in that during use, a cornea of a taken-down eyeball of the mouse is placed below an operating cylinder upwards, and an arc-shaped sheet is controlled to clamp the cornea by rotating a cover plate of a reducing mechanism; mouse eyeballs of different sizes can be fixed through the diameter changing mechanism, in the moving process, the arc-shaped piece abuts against the blade to move towards the circle center of the base to be attached to the cornea, the mounting ring is rotated to cut the cornea, then the clamping mechanism slides downwards to be close to and clamp the cornea and the crystalline lens, and the cornea and the crystalline lens are separated. Then, the optic cup-shaped tissue with the cornea and the crystalline lens removed is reversed, the clamping rod continues to be used for fixing the optic nerve, the cup opening of the optic cup-shaped tissue abuts against the arc-shaped piece, then the clamping rod translates downwards, and the internal retina tissue is completely extruded out of the optic cup-shaped tissue through the innate subretinal space; therefore, an eyeball retina specimen is obtained.

Method and device for analyzing the force injury of the optic nerve after the human head is struck, which saves a large amount of modeling time and greatly reduces the possibility of non-convergence of the solution caused by poor mesh generation effect, provides the possibility for later clinical application, is closer to the actual situation of patients, and has the advantages of high credibility and low cost. The method includes: (1) constructing a finite element analysis mesh model of three-dimensional important tissue organs of the human head; (2) building a biomechanical material parameter database of important tissue organs of the head; (3) constructing tissue organ entities according to the mesh model and performing biomechanical calculations on the optic nerve.

The invention relates to application of graphene-(RADA-IKVAV)-pranoprofen, eye drops and a preparation method of the eye drops. The invention relates to graphene-(RADA-IKVAV)-pranoprofen, the graphene-(RADA-IKVAV)-pranoprofen comprises graphene-polyacrylic acid, self-assembled oligopeptide RADA-IKVAV and pranoprofen, the self-assembled oligopeptide RADA-IKVAV is connected with the graphene-polyacrylic acid through a chemical bond, and the pranoprofen is loaded on the surface of the graphene-polyacrylic acid. The eye drops provided by the invention comprise graphene-(RADA-IKVAV)-pranoprofen, so that the drug loading capacity of pranoprofen in the eye drops is increased, the bioavailability of drugs is improved, and the eye drops are used for inhibiting eye inflammation; the coupled oligopeptide RADA-IKVAV simulates an extracellular environment, provides a suitable microenvironment for eyes, promotes nerve repair and regeneration by influencing nerve growth factors, and promotes optic nerve repair.

The invention discloses Hangzhou white chrysanthemum-derived exosome-like nano-vesicles, a preparation method thereof and application of the nano-vesicles in treatment of optic nerve retinal degeneration diseases. In-vitro experiments show that the Hangzhou white chrysanthemum-derived exosome-like nano-vesicles provided by the invention can effectively inhibit glutamic acid-induced retinal cell oxidative stress and mitochondrial injury and improve the cell activity. In-vivo experiments show that the survival rate of ganglion cells in the retina of an NMDA injury model mouse can be remarkably improved by injecting the Hangzhou white chrysanthemum-derived exosome-like nano-vesicle into a vitreous cavity, and the visual electrophysiological function of the NMDA injury model mouse can be improved. The invention provides a new thought and method for treatment of optic nerve retinal degeneration diseases, and has a wide application prospect. In addition, the preparation method of the Hangzhou white chrysanthemum-derived exosome-like nano-vesicle provided by the invention is simple, and has the advantages of low cost, wide applicability, good safety, no animal-derived components and the like.

This invention belongs to the field of animal model technology and discloses a method and system for constructing a NMOSD mouse model. The method includes extracting NMO-IgG from patient plasma replacement fluid, actively immunizing mice with an AQP4 p201-220 peptide emulsion, and injecting NMO-IgG to establish an NMOSD animal model. This invention uses active immunization with AQP4 p201-220 peptide combined with an antigen adjuvant, and then injects patient-derived NMO-IgG on this basis. Compared with other existing animal models, the characteristic clinical manifestations of NMOSD, including the detection of peripheral blood AQP4-IgG autoantibodies and the characteristic loss of AQP4 and GFAP proteins in the retina, optic nerve, and spinal cord, are more significant, more objectively reflecting the disease characteristics of NMOSD and providing a new research platform for related studies.

Described herein is a base editing system for correcting mutations G3460A, G11778A, or T14484C in mitochondrial DNA of a patient with Leber hereditary optic neuropathy (LHON) to a normal genotype. Also, described herein is a method for correcting a mutation in the mitochondrial genes of a patient with LHON to a normal genotype using a base editor that recognizes specific sites in the mitochondrial genes of the patient with LHON and has an activity of specifically correcting the adenine base at position 3460 or 11778, or the cytosine base at position 14484, by using a fusion protein or a polynucleotide encoding such a fusion protein. The base editor or nucleotide described herein may correct DNA mutations specific to LHON in a cellular or extracellular in vitro environment. Thus, described herein is also the use of the substance in the prevention or treatment of LHON.

Pharmaceutical compositions are disclosed in the form of orosoluble suckable and chewable tablets consisting of citicoline, nicotinamide and pharmaceutically acceptable excipients, for use in the prevention and / or treatment of degeneration of the optic nerve and retinal nerve cells resulting from glaucoma.

An optic nerve disc image processing system and method includes: acquiring a fundus image by a processor, identifying an optic nerve disc and an optic nerve cup in the fundus image through an image cutting model, and marking contours of the optic nerve disc and the optic nerve cup; and providing an interpretation application mode, and generating interpretation data for risk assessment by the processor at least according to the contour of the optic nerve disc and the contour of the optic nerve cup. Wherein the image cutting model is a deep learning model which is trained by using a pre-collected eye fundus image as training data, and the pre-collected eye fundus image is a contour of an optic nerve disc and an optic nerve cup which are marked in advance by an ophthalmologist.

The invention relates to a vision rehabilitation device, in particular to a vision rehabilitation training device. Comprising two frames, a fixing belt, an eye distance adjusting mechanism and an electrotherapy mechanism, the two frames serve as a main body supporting structure of the device, the fixing belt is connected to the ends, opposite to each other, of the two frames, and the ends, close to each other, of the two frames are connected through the eye distance adjusting mechanism; the eye distance adjusting mechanism is used for adjusting the distance between the two frames, a through hole is formed in the middle of each frame, the electrotherapy mechanism is arranged on the side, facing the face of the human body, of each frame, and each electrotherapy mechanism comprises an annular frame, a push-out mechanism, a soft connecting plate and an electrode plate. Microcurrent is output through the electrode plates in the electrotherapy mechanism to stimulate muscles around the eyes, local blood circulation is improved, asthenopia is relieved, and the conduction function of optic nerves is promoted. A near-infrared lamp in the phototherapy mechanism can penetrate through the skin to act on deep tissue, cell metabolism is promoted, and mitochondrial activity is enhanced.

The invention provides an implantable optic nerve brain-computer interface system, and the system comprises a first electrode matrix which is disposed in a first region to form a first spatial layout, and is used for collecting a first electric signal at a corresponding position of a preset sampling region of the first region; the second electrode matrix is arranged in the second area to form a second space layout and is used for receiving a modulation signal of the first electric signal; the conversion module is used for mapping row and column positions between the electrodes in the first electrode matrix and the electrodes in the second electrode matrix according to a spatial layout rule of the electrode matrixes; and the first electric signal is modulated, so that a modulated signal of the first electric signal is applied to the second region or a corresponding position below the second region through the second electrode matrix. The first electric signal in the specific area is collected through the first electrode matrix, and the first electric signal is redirected and modulated through the conversion module, so that the first electric signal is used as a targeted stimulation signal and is applied to the corresponding targeted area through the second electrode matrix, and effective electric stimulation is achieved.