2404results about "Othalmoscopes" patented technology

A surgical microscope lighting control system comprising a controller configured to: estimate or determine a lighting need of a surgeon during at least part of a surgical procedure based at least on a viewing status of a region of illumination, wherein the viewing status of the region of illumination is estimated or determined (a) based at least on whether or not the region of illumination is being displayed, or (b) based at least on tracking data of the surgeon or a head-mounted display; determine an adjustment to be made to an illumination provided by a lighting unit of a surgical microscope based on the lighting need; and in response to determining the adjustment, send a first signal to the lighting unit to change the illumination according to the adjustment.

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 present invention relates to a portable device (100) for ocular diagnostic and disease detection in non-invasive manner, the device (100) comprises an image capturing module (10) positioned at a first end of the device (100), the image capturing module (10) captures high resolution images of patient's eye, an illumination module (20) configured to encompass the image capturing module (10), the illumination module (20) provides uniform illumination on the patient's eye, at least one auxiliary part removably coupled with the illumination module (20) by a plurality of mounting provisions (23) provisioned on the illumination module (20).

A modular ophthalmology device comprising: a first optical device having a light source and an imaging sensor, a first input coupling having an optical interface connection and a physical interface connection for aligning and securing an input optical module, a first optical output, an optical pathway and an output coupling securing a third optical device.

The invention relates to an apparatus (1) and method for automatically determining the blood flow direction (42) in a blood vessel (14) using the fluorescence light from a fluorophore (16). Blood flow direction (42) is determined by first identifying a blood vessel structure (38) in an input frame (6) from a camera assembly (2) using a pattern recognition module (26). Blood flow direction (42) is determined from the spatial gradient (dl / dx) of the fluorescence intensity (I) along the identified blood vessel structure (38) and the temporal gradient (dl / dt). An output frame (48) is displayed on a display (36) with time-varying marker data (52) overlaid on the identified blood vessels structure (38) and representative of the blood flow direction (42).

A color checker device is disclosed. The color checker device includes a substrate configured to be inserted into a model eye and to conform to a surface curvature of the model eye when inserted therein. A color test target is located on the substrate. The color test target comprises a plurality of color sections configured for generating a color characterization profile of a fundus imaging camera configured to capture a color image of a human retina. A method of generating a color characterization profile using the color checker device and a fundus imaging system having the color characterization profile stored thereon are also disclosed.

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.

An imaging device for capturing images through an eyepiece of an optical viewing device. The imaging device includes a camera that aligns with the eyepiece for capturing the images viewed through the eyepiece, and a display for displaying the images captured by the camera. The imaging device determines a type of the optical viewing device. The imaging device presents a workflow on the display based on the type of the optical viewing device. The imaging device captures metrics related to user interactions with the workflow presented on the display and the images captured by the camera during the workflow.

The utility model relates to the field of slit lamp microscopes, in particular to a slit lamp. Comprising a lifting placement table, a face fixer, an illumination tower, a control base, a micro-motion platform, an image acquisition unit and a display, the micro-motion platform is arranged on the tabletop of the lifting placement table; the illumination tower and the image acquisition unit are rotationally arranged on the micro-motion platform, the rotation axes of the illumination tower and the image acquisition unit are the same, and the illumination tower and the image acquisition unit are kept relatively static; the image acquisition unit is used for acquiring an eye image of a detector; and the display is connected to the lifting placement table, electrically connected with the image acquisition unit and used for displaying the target image. According to the utility model, the collected eye image of a patient can be displayed on the display, so that a user can use the device more conveniently and comfortably. In addition, the image acquisition unit can also have an image recognition function, so that the eye condition of the patient can be automatically judged according to the image, which is more efficient and accurate.

To provide an image analysis system which performs screening of diabetic retinopathy from a fundus image.SOLUTION: A diagnosis support device has: a specification unit for specifying a blood circulation abnormal region in a fundus image, which is an image of the fundus, by using a learning model obtained by learning a relation between the fundus image and the blood circulation abnormal region in the fundus image, on the basis of the fundus image and the blood circulation abnormal region specified on the basis of a fluorescence contrast image of the fundus; and an output unit for outputting information indicating the blood circulation abnormal region, in a patient's fundus image, that has been specified by the specification unit by using the patient's fundus image and the learning model.SELECTED DRAWING: None

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 utility model relates to the field of fissure light adjusting equipment, in particular to a fissure light adjusting wheel disc and a fissure light adjusting device. Comprising a circular bottom plate and an annular side wall arranged along the edge, and at least one clamping groove is formed in the inner side of the annular side wall; an adjusting end in the gear adjusting module elastically abuts against the inner side of the adjusting wheel disc. The clamping groove comprises a main limiting groove and two guide-in sub-grooves, the groove depth of the guide-in sub-grooves is gradually increased from the end away from the main limiting groove to the end connected with the main limiting groove, and the minimum groove depth of the main limiting groove is larger than the maximum groove depth of the guide-in sub-grooves. The clamping groove is formed in the inner side wall of the adjusting wheel disc, and the depth of the clamping groove conforms to the rule of changing from shallow to deep and then changing from shallow, so that when the adjusting end passes through the clamping groove, the phenomenon that friction force changes from large to small and then becomes large can occur, and then a rotating hand feeling corresponding to the changing rule is provided; therefore, a user can determine the gear shifting position by means of hand feeling, and use is convenient.

The invention relates to a full-automatic slit lamp and an intelligent diagnosis method thereof, and aims to improve the ophthalmic examination efficiency and accuracy. The slit lamp is composed of a slit lamp device, an automatic adjusting device and a man-machine interaction device. The automatic adjusting device comprises a calculation module and an adjusting module, and the adjusting module accurately drives the slit lamp device through gear transmission and automatically adjusts operation parameters according to a preset mode. The display module of the man-machine interaction device can display the working mode, the eye image data and the interaction information, and the prompt module guides the examinee to cooperate with the examination. The camera element of the slit lamp device converts the light into image data, and the communication device transmits the data to the cloud. And during fault diagnosis, the calculation element monitors image data in real time, marks abnormities through a visual algorithm, and enters a diagnosis mode. After different modes are operated for multiple times, the calculation unit analyzes imaging result abnormity, accurately locates and displays fault components, realizes automatic fault diagnosis, and reduces maintenance cost.

Blood flow 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.

Systems and methods for imaging a body part during a medical procedure e.g., by imaging the body part using at least one image capture unit, where the image capture unit is configured to sense light at least in the IR spectrum; illuminating at least a portion of the body part with light in the infrared (IR) spectrum, using at least one IR light source such that IR illumination of at least one of the at least one IR light source is coaxial with an optical axis of one of the at least one image capture unit; and outputting imagery data emanating from the at least one image capture unit for displaying thereof.

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.

Provided is a medical apparatus for predicting myopic regression. The medical apparatus for predicting myopic regression can be configured to predict at least one of a probability of myopic regression and whether myopic regression will occur from numerical data including a refractive power, a corneal curvature, an eye axial length, a photopic pupil size, a mesopic pupil size, a corneal diameter, a corneal thickness, a corneal epithelial thickness, a high-order aberration, a visual acuity, an intraocular pressure, a sex, and an age using a machine learning processor.

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.

Configurations are disclosed for a health system to be used in various healthcare applications, e.g., for patient diagnostics, monitoring, and / or therapy. The health system may comprise a light generation module to transmit light or an image to a user, one or more sensors to detect a physiological parameter of the user's body, including their eyes, and processing circuitry to analyze an input received in response to the presented images to determine one or more health conditions or defects.

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.

A computer-implemented method of processing each of a plurality of sets of OCT images in a sequence of OCT images of a portion of a retina to generate a respective indication of a tissue velocity at a position along an axial direction in the OCT images, by performing, for each set: calculating a respective comparison value based on an image quality or similarity of a first OCT image and a second OCT image in the set; using phase information in the first OCT and second OCT image in a calculation of the respective indication of tissue velocity at the position if the comparison value is equal to or greater than a threshold; and omitting the phase information from the calculation if the comparison value is smaller than the threshold.

The invention relates to a double-light-path broadband multispectral optical imaging system, which is characterized in that broadband multispectral illumination and imaging are separated into a visible light band imaging light path and a near-infrared band imaging light path, so that the spectral width of the visible light band imaging light path and the spectral width of the near-infrared band imaging light path are reduced; the difficulty in correcting chromatic aberration in a broadband multispectral optical imaging system is reduced, and high-quality fundus multispectral images and color images are obtained; meanwhile, a polarization reflection elimination technology is adopted, a visible light wave band image and a near-infrared wave band multispectral image can be obtained at the same time only through the wave bands of visible light and near-infrared light, the elimination difficulty of stray light is reduced, and the accuracy of stray light elimination is improved. According to the design scheme of the visible light band imaging light path and the near-infrared band imaging light path, the coating range of the lens and the polarized light eliminating and reflecting device in the two light paths is narrower, the design is simplified, and the performance is better.

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.

Aspects of the present disclosure relate to an integrated contact lens device for ophthalmoscopy and methods of use thereof. The integrated contact lens device includes a lens portion, an upper spreader portion, and a lower spreader portion. The integrated contact lens device helps to improve visualization of peripheral retinas, including upper and lower half retinas, via both manual examination and wide angle cameras that can be viewed with the contact lens. The integrated contact lens device further prevents or reduces corneal dryness and patient discomfort during examination.