1586results about "Othalmoscopes" patented technology

The embodiment disclose a wearable augmented reality eyewear system including a frame supporting left and right transparent lenses. A plurality of outward-facing cameras mounted on the frame have overlapping fields of view for capturing real-time images of the environment. A plurality of inward-facing cameras integrated in the frame or lenses detect pupil size, pupil dilation, and gaze direction using infrared imaging. A digital processor analyzes gaze direction and fixation based on virtual grid coordinates, initiates an object or person recognition routine using images from the outward-facing cameras, and compares detected features with records in a database. At least one lens includes an AR projection system embedded therein and configured to superimpose data about the recognized object or person in the user's field of view. An audio speaker positioned near the user's ear outputs related audio. A wireless communication module enables real-time data exchange with a cloud-based platform.

The invention discloses a parallel imaging OCT (Optical Coherence Tomography) system based on a metasurface area array, which relates to the technical field of medical instruments, is small in size and can realize intraocular single-shot area array imaging and a three-dimensional position depth perception function by using metasurface and optical coherence tomography imaging information in a sample tissue with a limited size. According to the technical scheme, a light beam emitted by a laser is divided into two paths through a beam splitter, and the two paths enter a sample arm module and a reference arm module respectively; the sample arm module is a probe and comprises a multi-core optical fiber and a first metasurface; the reference arm module comprises a collimator, a motor and a right-angle reflector; the probe enters a sample tissue, a light beam is focused on the sample tissue and then is backscattered, the backscattered light beam reversely passes through the first metasurface, the multi-core optical fiber, the beam splitter, the second metasurface, the third lens, the grating and the focusing lens and then forms a spectral line beam on the CCD sensor, and the computer reads a signal from the CCD sensor and performs three-dimensional reconstruction imaging on the sample tissue.

The invention discloses a personalized myopia prevention and control single-spectrum irradiation optimization system, and the key points of the technical scheme are that the system comprises the following steps: 1, collecting basic data: collecting the individual basic data of a user, and enabling the individual basic data to reflect the inherent features of the eyes of the user and the basic state of myopia; step 2, collecting real-time associated data: collecting the real-time associated data of the user, wherein the real-time associated data reflects the myopia progress dynamic state of the user and a daily eye use scene; step 3, initial single-spectrum irradiation parameter generation: initial single-spectrum irradiation parameters adapted to the user are generated based on individual basic data and real-time associated data, and the initial single-spectrum irradiation parameters comprise irradiation wavelength, irradiation intensity, single irradiation duration and irradiation time period; 4, collecting eye safety data: executing single-spectrum irradiation according to the initial single-spectrum irradiation parameters, and collecting the eye safety data of the user in real time; the prevention and control effectiveness can be improved, and the individual difference problem is solved.

A method and system for the use of multi-spectral retinal images to achieve an effective, efficient, and AI enabled automated retinal disease biomarker detection using biomarker identification, segmentation, and quantification. A plurality of digital multi-spectral images of a retina of a patient at a plurality of illumination wavelengths can be done using a multi-spectral ophthalmoscope. The images can then be registered, processed, and assessed to automatically quantifying one or more biomarker based on the location and size of the biomarker in the plurality of processed multi-spectral images.

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.

Methods and systems for foveal avascular zone (FAZ) segmentation of a retina. A three dimensional optical coherence tomography angiography (OCTA) volume of a retina of a subject is received. The OCTA volume comprising a plurality of layers. A slab input for a model system is formed using the OCTA volume. The model system comprising a deep learning model. A set of mask images is generated, via the model system, based on the slab input. The set of mask images includes an area mask image that accurately and reliably identifies an area of a foveal avascular zone captured by the OCT volume.

Diabetes is a disease characterized by high levels of blood glucose. It is important to keep diabetes under control to avoid short- and long-term complications. Diabetes can affect vision due to the alterations it produces in the blood vessels of the retina. This is known as Diabetic Retinopathy (DR), which is one of the leading causes of impaired vision in developed countries. One of the complications of diabetic retinopathy is Diabetic Macular Edema (DME), which is the leading cause of vision loss in diabetic patients and can appear at any stage of diabetic retinopathy. This consists of the gradual accumulation of fluid in the macula, the most important area of the retina. The determination of diabetic macular oedema is very important for the retina. The determination of diabetic macular oedema is very important for adequate treatment of this condition. A variety of technological options are used for detecting diabetic retinopathy, although only the most sophisticated detect macular oedema, a complication that appears as a consequence of diabetic retinopathy and is one of the leading causes of blindness. The invention describes a portable system for detecting diabetic macular oedema by capturing a fundus image using a portable ophthalmoscope; said image is sent via wired or wireless means to an embedded system that has an algorithm based on artificial intelligence, which extracts information from the image and processes same to identify the presence of the condition being studied.

A visualization system for dynamically visualizing an eye includes a laser module operable for outputting a primary laser beam along a beam axis, a beam splitter positioned in the beam axis and configured to direct a first beam portion along the beam axis and a second beam portion along a detection axis that is orthogonal to the beam axis. A microelectromechanical system (MEMS) scanner is arranged on the beam axis and configured, in response to the first beam portion, to output a scanning laser along a visualization path. An avalanche photodiode (APD) detector receives the second beam portion. A 4F correlator optical system has a spatial filter arranged along the visualization path. An optional optical flat may be disposed between the eye and the 4F correlator optical system to achieve stereo parallax.

An ophthalmic apparatus includes an objective optical system, an illumination optical system, a photographic optical system, a photographing unit, a movement mechanism, and a three-dimensional position identifying unit. The objective optical system is configured to optically relay a measurement position where a pupil of an eye of an examinee can be disposed. The illumination optical system is configured to irradiate illumination light onto the eye through the objective optical system. The photographic optical system is configured to receive returning light of the illumination light from the eye through the objective optical system. The photographing unit includes two or more cameras disposed so as to include a position, that is substantially conjugate optically to the measurement position relayed by the objective optical system, within a field of vision. The movement mechanism is configured to relatively move the objective optical system, the illumination optical system, the photographic optical system, and the photographing unit relative to the eye. The three-dimensional position identifying unit is configured to identify a three-dimensional position of the eye based on two or more photographic images of the eye acquired by the photographing unit.

Apparatuses and methods for using Raman Resonance Spectroscopy to evaluate metabolic and oxygenation status of the eye are disclosed herein. In some embodiments, metabolic mapping of the eye may be performed by aligning a Raman spectrum and a recorded spatial image of the eye.

There is disclosed a method and system for retinal stimulation and retinal signal data collection. The system comprises a housing. The housing supports one or more light sources that are configured to expose a retina of an eye of an individual to a flash of light. The housing supports a spectrometer that is configured to record a light spectrum and an intensity of the flash of light. The housing supports a camera configured to capture image data of the eye while exposed to the flash of light.

The invention discloses a large-field-of-view high-resolution fundus imaging system and method, and belongs to the field of adaptive optical imagines.The large-field-of-view high-resolution fundus imaging system is characterized in that light of a light source is divided into multiple beams by a beam splitter, and the multiple beams of light enter human eyes through a first spectroscope and an aberration correction module to be reflected by fundus; the multiple beams of reflected light carry respective small-view-field human eye aberrations, pass through the aberration correction module and are reflected by the first spectroscope to reach the confocal detection module; the confocal detection module collects small-view-field human eye aberration of the multiple beams of reflected light to generate multiple image signals and evaluates the aberration according to the quality of the multiple image signals so as to generate feedback signals to drive the aberration correction module to carry out aberration correction on the multiple beams of reflected light at the same time until the system reaches the diffraction limit. The large-view-field high-resolution fundus imaging system can synchronously correct aberration of different view fields, the aberration correction time is shortened, and the overall imaging speed is increased.

An optical system is configured to guide light from a light source to a first target and a second target, and to guide first reflected light from the first target and second reflected light from the second target to an image sensor. The optical system includes a first optical element having a conical surface. An intermediate image is formed between the first optical element and each of the first target and the second target. The first reflected light and the second reflected light are guided to an imaging plane of the image sensor such that at least part of the first reflected light and part of the second reflected light overlap each other on the imaging plane.

The invention discloses a multifunctional automatic comprehensive optometry combined operation table and a use method thereof. The operating platform comprises a mechanical main body structure, a posture sensing system and a central processing and control unit. The mechanical main body structure comprises an optometry chair driven by a rotating disc, a lifting mechanism and an electric rotating shaft, and the posture sensing system is composed of a sitting and leaning posture recognition mechanism used for recognizing body postures and a head posture recognition mechanism used for capturing head movement. The central processing and control unit judges the posture of the optometry person according to the sensing data, and if the posture does not meet the preset standard, the seat height, the backrest angle and the horizontal position are adjusted through voice prompt and an automatic driving mechanism; when the posture reaches the standard, the optometry equipment is automatically controlled to complete operation, automatic and accurate correction of the posture before optometry and intelligentization of the optometry process are achieved, and the accuracy and efficiency of optometry results are effectively improved.

The invention discloses a pupil adaptive red light regulation and control method and system based on EC film and light source collaboration, and the method comprises the steps: obtaining a visible light image of the eyes of a user through an image collection module, and extracting a real-time pupil state parameter through an image processing module; meanwhile, the ambient light sensing module obtains ambient light intensity data. The cooperative control unit receives the parameters and generates a luminous flux control instruction set containing a first control instruction and a second control instruction based on a safety evaluation model. The first control instruction drives the electrochromic film assembly to change the light transmittance of the red light, and the second control instruction adjusts the luminous intensity of the red light source. Through cooperative control of optical attenuation of the electrochromic film and luminous intensity of the light source, the luminous flux entering the retina can be accurately regulated and controlled in real time according to dynamic changes of pupils, the problem of potential retina light damage risk caused by using a light source with fixed intensity is effectively solved, and the safety of red light irradiation application is remarkably improved.

A system for automatically focusing ("autofocusing") a microscope during an inner limiting membrane (ILM) peeling maneuver is configured to output low-coherence infrared (IR) light toward the eye during the maneuver. The system includes an interferometer that senses an axial distance between the microscope and ILM and outputs distance signals indicative of the sensed axial distance. An electronic control unit (ECU) is in communication with motor-driven lenses of the microscope and with an IR light source of the interferometer. Execution of the instructions causes the ECU to receive the distance signals from the interferometer. In response to the distance signals, the ECU transmits a focus control signal to the lens(es) to thereby resolve the ILM with a desired depth-of-field. The ECU automatically adjusts a focus level of the microscope on the ILM to accommodate for respiration-related movements of the patient.

An apparatus, and corresponding method, for determining a refractive property of an eye includes a housing with a port configured to receive an eye and also light from the eye. A tunable lens can be mounted to the housing to apply a variable focal power to the light from the eye and to pass the light along an optical path toward a wavefront sensor within the housing. The wavefront sensor can receive the light via the optical path and measure a wavefront thereof. A determination module can be configured to determine a property of the eye based on the wavefront. Embodiments can be handheld, portable, and open view, while providing objective wavefront aberrometry, subjective phoroptry, and accommodation and presbyoptic evaluation, as well as lensometry functions.

Systems and relative method of monitoring the state of a subject's retinal disease employ remote based OCT imaging of a subject's retina. A method includes receiving optical coherence tomography (OCT) image data of a retina of a subject for each of a series of OCT imaging sessions of the retina. The OCT image data of the retina is processed to determine a series of measured extent values. Each of the one or more measured extent values is indicative of a respective extent of the retinal disease.

To reduce impact from a retinal vessel on analysis of a choroidal vessel.SOLUTION: A method for processing an image includes a step of enhancing a choroidal vessel in a first fundus image in which the choroidal vessel is relatively made to be conspicuous by reading image data of the first fundus image (R color fundus image) and a second fundus image (G color fundus image), extracting a retinal vessel from the second fundus image, removing a retinal vessel from the first fundus image, thereby acquiring a choroidal vessel image in which the choroidal vessel is made to be conspicuous.SELECTED DRAWING: Figure 5

A method and system for the use of multi-spectral retinal images to achieve an effective, efficient, and AI enabled automated retinal disease biomarker detection using biomarker identification, segmentation, and quantification. A plurality of digital multi-spectral images of a retina of a patient at a plurality of illumination wavelengths can be done using a multi-spectral ophthalmoscope. The images can then be registered, processed, and assessed to automatically quantifying one or more biomarker based on the location and size of the biomarker in the plurality of processed multi-spectral images.

The invention belongs to the technical field of medical equipment. According to the dynamic target control method and system based on dual-band OCT cooperative imaging, a dual-band OCT cooperative scanning strategy is adopted, a patient is assisted in watching through a built-in fixation target during near-infrared preview, and fixation target parameters are recorded; a scanning target spot is generated during visible light preview adjustment, the position of the scanning target spot is adjusted through fixation target parameters, the exposure time of a patient under visible light is shortened, the dazzling feeling is reduced, and the comfort level of the patient is improved; in the formal scanning stage, the scanning light beam generates a dynamic scanning target spot and periodically stays at a fixed position to guide a patient to watch, the problem that visible light shields a built-in target is solved, and eyeball movement artifacts are effectively reduced.

The invention relates to the field of medical image processing and artificial intelligence, in particular to an inflammation active retinopathy prediction system and method based on artificial intelligence, and the system comprises an image processing module which comprises an image acquisition unit, a blood vessel density analysis unit, a blood-retina barrier integrity imaging analysis unit and a data integration module. The core innovation of the invention lies in that a blood vessel density analysis unit constructs a blood vessel structure analysis framework by introducing topology and differential geometry theories, comprises a topological manifold representation module, a curvature flow dynamic analysis module and a non-European interactive network module, maps fundus image data into a topological manifold structure, and extracts topological features of a blood vessel network; curvature flow evolution analysis is carried out based on the blood vessel network topology features, and blood vessel form dynamic features are generated; a non-European metric space of a vascular network and inflammatory factors is constructed, an interaction relationship between the vascular network and the inflammatory factors is analyzed, and vascular-inflammation interaction characteristics and blood-retina barrier integrity index data are integrated.

To provide a new technology to measure at least characteristics of both eyes with a high degree of precision while saving costs and space.SOLUTION: An ophthalmologic apparatus includes an objective lens, an OCT optical system, an optical axis switch member, a control part, and an intraocular parameter calculation part. The OCT optical system projects measurement light onto a left eye to be examined arranged on a first measurement optical axis or onto a right eye to be examined arranged on a second measurement optical axis through the objective lens, and detects interference light between return light of the measurement light from the left eye to be examined or the right eye to be examined and reference light through a reference light passage. The optical axis switch member switches an optical axis of the OCT optical system so as to roughly match the first measurement optical axis or the second measurement optical axis. The control part controls the optical axis switch member. The intraocular parameter calculation part calculates the intraocular parameter of the left eye to be examined or the right eye to be examined on the basis of a result of the detection of interference light obtained in a state where the optical axis of the OCT optical system is switched so as to roughly match either the first measurement optical axis or the second measurement optical axis.SELECTED DRAWING: Figure 1

A method for assessing pupillary shape using a pupillometer is described. The method includes capturing sequential images of a subject's pupil; analyzing the images using an image processing algorithm associated with the pupilometer to determine pupil shape characteristics, including ellipticity, eccentricity, and cyclotorsion; using an image processing mode associated with the pupilometer selected from speckle imaging and spectral imaging to enhance visualization of vascular structures with an iris of the pupil; comparing detected pupil shape characteristics against predetermined criteria to assess the presence of abnormalities; and outputting a binary status, graphical representation, or quantified measurement of the pupil shape on a display.

A system for imaging an eye of a subject during a medical procedure includes: at least two image capture units for stereoscopic imaging of the eye of the subject configured to sense light at least in infrared (IR) and visible spectra, at least one IR light source, and at least one visible light source for illuminating the eye of the subject with light in the IR and visible spectra. The system is configured to output imagery data emanating from the at least two image capture units for displaying thereof. The system is configured to balance between visible and IR illumination from the visible and IR light sources by controlling their intensity.

A surgically implanted ocular optical array that can be used in both therapeutic and diagnostic applications is described. A device configured to be implanted in an eye includes: an imaging system that receives visible light incoming to the eye; optical source generating circuitry that generates an optical signal based on the light received by the imaging system; and an optical phased array (OPA) that generates and projects an image onto a retina of the eye in which the device is implanted, the image being based on the optical signal generated by the optical source generating circuitry.

The technical scheme of the utility model discloses a small fundus imaging device which comprises an outer cylinder and an inner cylinder which are telescopically connected with the outer cylinder through a pull-rotation connecting mechanism. The ophthalmoscope is arranged in the inner cylinder; the eye curtain is movably connected with the inner cylinder through a rotary adjusting mechanism and used for adjusting the eyes of the user; and the camera shooting base is detachably connected with the outer cylinder and is used for shooting the eye actions of the user through the ophthalmoscope. The small fundus imaging device is small and exquisite in structure, convenient to carry about in daily life, simple in structure and convenient to operate, fundus imaging can be achieved only by pulling the outer cylinder and the inner cylinder open, rotating and fixing the outer cylinder and the inner cylinder, separating the eyelids of a user through the rotating ring to expose eyeballs and cooperating with interactive games of a mobile phone end or other mobile ends, and the fundus imaging efficiency is improved. The detection information result can be obtained through data analysis, the user can achieve fundus detection by himself / herself without going to a medical institution, and the early diagnosis rate and the mother and infant safety are greatly improved.

Deep learning methods and systems for detecting biomarkers within optical coherence tomography volumes using such deep learning methods and systems are provided. Embodiments predict the presence or absence of clinically useful biomarkers in OCT images using deep neural networks. The lack of available training data for canonical deep learning approaches is overcome in embodiments by leveraging a large external dataset consisting of foveal scans using transfer learning. Embodiments represent the three-dimensional OCT volume by “tiling” each slice into a single two dimensional image, and adding an additional component to encourage the network to consider local spatial structure. Methods and systems, according to embodiments are able to identify the presence or absence of AMD-related biomarkers on par with clinicians. Beyond identifying biomarkers, additional models could be trained, according to embodiments, to predict the progression of these biomarkers over time.

A fundus imaging apparatus includes two or more curved mirrors, an illumination optical system, and an image sensor. The illumination optical system includes a slit with an opening configured to be disposed at a fundus conjugate position. Here, the fundus conjugate position is substantially conjugate optically to a fundus of an eye to be examined. The illumination optical system is configured to irradiate slit-shaped illumination light, that is generated by irradiating light from a light source onto the slit, onto the fundus through the two or more curved mirrors. The image sensor is configured to be disposed at the fundus conjugate position and to receive returning light from the eye to be examined. At least one of both ends of the opening in a longitudinal direction is displaced in a shorter direction of the opening with reference to the longitudinal direction passing through a center of the opening.

Blood flow information, including blood flow velocity information, is extracted from speckle information of a time series of structural optical coherence tomography (OCT) images. Flow information can be determined from high-frequency information of the OCT images, a speckle density of the OCT images, from a co-occurrence matrix applied to the OCT image, from a machine learning analysis of an input OCT image, or the like. A flow profile analogous to a pulse waveform is then generated as a time series of the extracted flow information.