63 results about "Slit lamp" patented technology

The invention relates to the technical field of deep learning and medical image recognition, and discloses a small target segmentation method for ocular surface diseases. According to the scheme provided by the invention, ResNeXt packet convolution is introduced into Backbone to enhance feature diversity, a channel attention (CA) module is added behind an output layer to optimize a dependency relationship between channels, and a bottom-up feature enhancement branch is added in a feature pyramid (FPN) structure to form a bidirectional information flow, so that semantic expression and spatial positioning are considered. In combination with an improved region generation network (RPN), an ROI Align and a multi-task loss function (classification loss Lcls, mask loss Lmask and bounding box loss Lbox), the small target segmentation performance can be remarkably improved while the calculation efficiency is kept. In a slit lamp eye surface data set experiment, the small focus Dice coefficient of the method is improved by about 12%, the omission factor is reduced by 9%, the defects of an existing method in small target segmentation are effectively overcome, and the method has good clinical application value.

The invention discloses a continuous optical zoom slit-lamp microscope system and an inspection method and application thereof, and belongs to the technical field of ophthalmology medical equipment. The system is composed of a continuous zooming module, a light source module, a data processing module, a 3D imaging module and an AI identification module. The inspection method comprises the steps of equipment initialization and head position fixation of an inspected person, AI low-magnification (5 *) preliminary screening, adaptive lens high-magnification (40 *) fine observation, dynamic light source adjustment, three-dimensional data acquisition and cloud intelligent diagnosis. The method is applied to examination and intelligent diagnosis of eye diseases such as cataract. The problems that a traditional slit-lamp microscope is discontinuous in zooming, inconvenient to operate, lack of intelligent diagnosis and free of 3D stereoscopic display are solved, and the objective of the invention is to realize simple and convenient equipment operation, continuous examination process, intelligent diagnosis and stereoscopic display, facilitate collective teaching, significantly improve the diagnosis efficiency and accuracy of eye diseases such as cataract and the like, and improve the diagnosis efficiency and accuracy of eye diseases such as cataract and the like. And DICOM standard data cloud sharing and remote consultation are supported.

The slit lamp comprises a shell, a light source assembly, a slit assembly, an optical filter assembly, a diffractive optical element and a reflector assembly, wherein the light source assembly, the slit assembly, the optical filter assembly, the diffractive optical element and the reflector assembly are installed in the shell. Wherein the optical filter assembly comprises a plurality of optical filters and a driving unit, and the driving unit is used for driving one optical filter to move into an optical path; the reflecting mirror assembly comprises a reflecting mirror and a reflecting mirror seat, and the reflecting mirror seat is rotationally connected with the shell; according to the slit lamp, the rotatable optical filter and the diffractive optical element are arranged, so that the slit effect is slender, a better lighting effect is achieved, and the accuracy of an operation is improved.

The application discloses a kind of based on lesion perception multi-granularity cataract classification method and system, belong to computer vision and medical image analysis field, take slit lamp image as input data, adopt lesion perception feature extraction method, make model can accurately focus on lesion area, improve the accuracy of cataract classification;Adopt mutual attention calculation and maximum connected region search algorithm, filter out the lesion area of high weight feature, ensure that classification model can focus on the core features of lesion area;Through fine-grained feature optimization module, combined with up-sampling convolution, dilated convolution and jump connection strategy, enhance the fine-grained information of lesion area, improve the distinguishing ability of different types of cataract.The application can extract high-value lesion information from complex slit lamp image data, realize real-time, high-precision multi-granularity cataract classification, assist clinical diagnosis, improve the screening and treatment efficiency of early cataract.

The invention provides an ophthalmic examination auxiliary device, and relates to the technical field of ophthalmic examination, the ophthalmic examination auxiliary device comprises a base, a mounting seat fixedly connected with one side of the base, a support frame arranged on the working surface of the top end of the mounting seat, and an eyelid turning mechanism connected with the support frame through a moving mechanism; a lower jaw supporting plate is arranged on the mounting seat, and the lower jaw supporting plate is positioned on the opposite side of the supporting frame; the support frame is clamped with the forehead support plate; the eyelid turning mechanism comprises oppositely-arranged limiting frames, an adjusting piece penetrating through the limiting frames and an eyelid opener connected with the telescopic end of the adjusting piece. The limiting frame has an inclined radian matched with an eyelid; through the arrangement of the eyelid turning mechanism, the limiting frame and the adjusting piece which are matched with the radian of the eyelid are adopted, multi-point accurate force application can be carried out according to the wrinkle sagging conditions of different positions of the eyes of the old people, so that the eyelid is stably and comprehensively turned over, and a clear and unshielded observation view is provided for slit lamp inspection.

A slit lamp microscope of an embodiment includes an image acquiring unit, a memory, and a misalignment information acquiring processor. The image acquiring unit is configured to acquire an image by applying a scan with slit light to an anterior segment of a subject's eye. The memory stores a first image of the anterior segment and a second image that is acquired by follow-up photography performed by the image acquiring unit with reference to the first image. The misalignment information acquiring processor is configured to acquire misalignment information between the first image and the second image by analyzing the first image and the second image after the follow-up photography.

The invention discloses a slit lamp image-based open-angle glaucoma deep learning identification method and system, and relates to the technical field of artificial intelligence and medical diagnosis crossing. The method comprises the steps of preprocessing a slit lamp image and basic clinical data of a target object, processing a standardized image by adopting a pre-trained deep learning model, and performing feature fusion on image depth features and standardized data by adopting a multi-modal feature fusion network. According to the method, automatic classification of two main glaucoma types is achieved, and the problems that in the prior art, distinguishing angle-separating glaucoma from angle-closing glaucoma mainly depends on doctor experience, subjectivity is high, efficiency is not high, traditional chamber angle microscopy examination is high in contact performance, and an existing AI method usually depends on OCT and other special equipment are solved. And objective and efficient auxiliary decision making is provided for clinical diagnosis.

The invention discloses an ophthalmology department preoperative auxiliary examination device which comprises a control table and a slit lamp, a bearing mechanism is connected to the control table, a protection mechanism comprises a mounting strip and a rotating assembly, a winding roller and a non-woven fabric roll are mounted on the mounting strip through the rotating assembly, a guide mechanism is connected to a bearing frame, and the guide mechanism is connected to a guide rod. The guide block is connected with a guide assembly used for assisting the color disc. According to the ophthalmology preoperative auxiliary examination device, the bearing frame is pulled downwards, the ophthalmology preoperative auxiliary examination device is suitable for different crowds, the bearing frame is held by a hand, the input feeling of a patient can be improved, the detection effect is guaranteed, the forehead and the jaw are attached to a non-woven fabric roll on a rubber roller for detection, after detection is completed, used non-woven fabric is automatically rolled, and the detection efficiency is improved. When the non-woven fabric section is used by the next person, the non-woven fabric section is not used, so that disease infection is avoided, the patient can see the through groove and the correction sight of the color disc, the distinguishing blocks in different color areas are different, and the concentration degree can be trained.

The invention discloses a modular integrated rapid ophthalmology screening vehicle and an examination method thereof, and relates to the technical field of ophthalmology examination. The inspection mechanism is mounted on the rear side of the bottom inner wall of the screening vehicle body; the two shading mechanisms are mounted between the top inner wall and the bottom inner wall of the screening vehicle body; through cooperative work of the vision detection module, the fundus imaging module, the intraocular pressure detection module, the slit lamp module and the AI auxiliary diagnosis module, and efficient interconnection between equipment in each module and the host server through USB-C and HDMI dual interfaces with unified specifications, the functional modules can be flexibly increased or decreased according to requirements of different screening scenes; the problems that a traditional whole machine integrated device is complex in structure and large in deployment difficulty are solved, multi-dimensional detection such as refraction detection, fundus imaging and intraocular pressure measurement can be completed through professional devices of all the modules, the screening efficiency and diagnosis accuracy are greatly improved, and the coverage range of ophthalmology screening service is effectively expanded.

A cataract classification method based on color equivariant and frequency domain attention belongs to the technical field of computer vision and medical artificial intelligence, uses eye images shot by a slit lamp as an input data source, and constructs a CFC-Mama classification network integrated with a color equivariant fusion module and a frequency domain channel attention module to classify cataracts. The model can effectively extract color robust features with unchanged equipment, and the high-frequency detail perception capability of the cataract lesion boundary is enhanced; a color isotropic convolution and cross attention fusion mechanism is adopted to solve the color shift problem caused by different imaging devices, and the cross-device robustness of feature extraction is ensured; through a frequency domain channel attention module, in combination with Fourier transform, high-pass filtering and a double-path channel attention strategy, high-frequency features of lesion boundaries are highlighted, and the fine-grained feature expression ability is improved. The invention further provides a cataract classification system based on color equivariant and frequency domain attention. According to the invention, high-precision classification of multi-granularity cataract is realized.

The utility model provides a prevent cross infection formula slit lamp bracket, including base, the base top surface one side is provided with slit lamp, the top surface other side is equipped with peripheral support, the inside bottom of peripheral support is equipped with lower column, the top of lower column is equipped with arc shaped supporting plate, the top surface of arc shaped supporting plate is overlapped with isolation paper piece, and the isolation paper piece that overlaps is fixed on arc shaped supporting plate through locating screw rod, peripheral support top surface is provided with paper drawing assembly, and paper drawing assembly inside accomodates paper tube, and the outside of paper tube is wound with isolation paper roll, and the top outside wall of peripheral support is fixed with forehead pad, and the end of isolation paper roll is outside and reaches forehead pad, the inboard wall rotationally connects of peripheral support is with forehead stop component, and forehead stop component is used to overturn positioning paper drawing assembly. The utility model discloses a disposable isolation paper is used to the forehead and chin of bracket is isolated and protected, and effectively prevents contact infection, and is convenient to replace.

Provided is an ophthalmological device capable of obtaining a brighter and clearer inspection image.　A slit lamp microscope (100) comprises: a background illumination system (60); an imaging unit (50); and a control unit (20). The control unit (20) comprises an inspection image generation unit (21) that generates an inspection image of an inspected eye, on the basis of images captured by the imaging unit (50). The inspection image generation unit (21) has: an image acquisition unit (24) that acquires, from the imaging unit (50), a plurality of images captured through imaging an inspected eye while changing the illumination direction of illumination light with respect to the inspected eye; an image extraction unit (25) that extracts, as a partial image, a portion at which focus is achieved from the plurality of images acquired by the image acquisition unit (24); and an image combination unit (26) that combines a plurality of the partial images extracted by the image extraction unit (25) together to generate an inspection image.

The embodiment of the application provides a slit lamp module, comprising: a support, a light source, an adjusting part, a reflecting mechanism and a light uniformizing sheet; the light source and the reflecting mechanism are fixedly connected to the support; the adjusting part is movably connected to the support and located between the light source and the reflecting mechanism, the adjusting part is provided with a first light passing hole and a second light passing hole with different shapes; the reflecting mechanism is provided with a light inlet hole and a light outlet hole; the slit lamp module has a first working state and a second working state; in the first working state, light emitted by the light source is projected to the outside after sequentially passing through the first light passing hole, the light inlet hole, the light outlet hole and the light uniformizing sheet; in the second working state, light emitted by the light source is projected to the outside after sequentially passing through the second light passing hole, the light inlet hole and the light outlet hole. The problems of large volume and complex operation of a traditional slit lamp can be solved.

1. The name of the design product: image device. 2. The use of the design product: accessories for surgical microscope, slit lamp. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view.

The invention relates to the technical field of slit lamps, in particular to a slit light adjusting device and a motor auxiliary control method for slit width adjustment. The device comprises an illumination angle adjusting mechanism and a crack width adjusting mechanism. The crack width adjusting mechanism comprises a rotary knob, a transmission shaft, a rotary knob end gear, an encoder gear, an encoder and a crack opening and closing executing mechanism. The knob drives the knob end gear to rotate through the transmission shaft, the encoder gear is meshed with the knob end gear and installed on the encoder input shaft, a shared transmission path is formed, the knob rotates to be synchronously transmitted to the encoder, and signals of the encoder drive the opening and closing motor. The spring assembly is arranged below the encoder and pushes the encoder gear upwards to eliminate the meshing clearance. According to the device, the problem that a traditional manual structure lacks electric control cooperation is solved, through the common path and spring design, idle stroke is avoided, instant response and consistent hand feeling of bidirectional adjustment are ensured, and motor assistance, remote control and automatic calibration are supported.

The application discloses a corneal disease image detection and classification method and device based on local and global information, and the method comprises the following steps: segmenting an image to obtain a superpixel lesion area set; extracting local features and global features; obtaining superpixel lesion area feature representation combined with local and global information; performing classification training by using global main features combined with local features, and making a prediction on a corneal disease slit lamp image; performing unsupervised clustering and category representation on the superpixel lesion area, and visually displaying abnormal lesion areas in the corneal disease slit lamp image. The corneal disease image detection and classification method and device based on local and global information can effectively extract global features and lesion area local features of the slit lamp image, perform feature fusion on the abnormal areas, realize image classification and abnormal area display.

To provide an ophthalmologic apparatus capable of obtaining a brighter and clearer examination image.SOLUTION: A slit lamp microscope 100 includes a background illumination system 60, an imaging unit 50, and a control unit 20. The controller 20 includes an examination image generator 21 configured to generate an examination image of the subject's eye E based on the image captured by the imaging unit 50. The examination image generation unit 21 includes an image acquisition unit 24 that acquires, from the imaging unit 50, a plurality of images obtained by imaging the subject's eye E while changing the illumination direction of the illumination light with respect to the subject's eye E, an image extraction unit 25 that extracts a focused portion as a partial image from the plurality of images acquired by the image acquisition unit 24, and an image synthesis unit 26 that synthesizes the plurality of partial images extracted by the image extraction unit 25 to generate an examination image.SELECTED DRAWING: Figure 2

A slit lamp microscope of an aspect example includes a scanner and a data processor. The scanner is configured to scan an anterior segment of a subject's eye with slit light to collect a plurality of cross sectional images. The data processor is configured to generate opacity distribution information that represents a distribution of an opaque area in a crystalline lens, based on the plurality of cross sectional images collected by the scanner.

The invention relates to the technical field of experimental animal models, in particular to an establishment method and application of a rat radioactive cataract model. According to the invention, a rat cataract model induced by irradiation of X-rays with different doses (10 Gy, 20 Gy and 30 Gy) is constructed. Through multi-dimensional evaluation such as general situation observation, slit lamp inspection and histopathologic analysis, the influence of ionization radiation (IR) on the crystalline lens is systematically observed. The animal model successfully reproduces pathological manifestations of different radiation-damaged crystalline lenses, and an experimental basis is provided for further research on pathogenesis of radiation-induced cataract.

1. The name of the design product: portable slit lamp. 2. The use of the design product: the design product is used for ophthalmic medical treatment in mobile scenarios. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: front view.

The utility model discloses a head protection device for ophthalmology slit lamp examination. The head protection device comprises a first protection pad, two second protection pads, a constant temperature device and a fixing band. The first protective pad is arc-shaped and is suitable for being attached to the front side of the upper part of the slit lamp inspection frame. The two second protection pads are both of a semicircular cylinder structure, the two second protection pads are vertically connected to the two ends of the first protection pad respectively, sleeving grooves are formed in the rear sides of the two second protection pads, and the second protection pads are arranged on the two sides of the slit lamp inspection frame in a sleeving mode through the sleeving grooves. The constant temperature device is arranged in the first protective pad and is used for heating the first protective pad; and the fixing band is arranged on the rear side of the first protection pad and is used for fixing the first protection pad on the upper part of the slit lamp inspection frame. According to the head protection device for the ophthalmology slit lamp examination, due to the unique protection design, the constant temperature function, the simple installation mode and the wide applicability, a powerful guarantee is provided for the safety of a patient in the ophthalmology examination process, and meanwhile the overall comfort degree and efficiency of the examination are remarkably improved.

A slit lamp microscope of an aspect example includes a scanner and a data processor. The scanner is configured to scan an anterior segment of a subject's eye with slit light to collect a plurality of cross sectional images. The data processor is configured to generate opacity distribution information that represents a distribution of an opaque area in a crystalline lens, based on the plurality of cross sectional images collected by the scanner.

The invention relates to the technical field of ophthalmology intelligent diagnosis, in particular to an ocular surface state fusion algorithm based on multi-modal data, which comprises a multi-modal synchronous acquisition module (1), an ocular surface specific feature extraction sub-network (2), a cross-modal space-time dynamic alignment unit (3), a multi-scale fusion inference engine (4) and an interpretability output layer (5). Space-time alignment of slit lamp imaging (11), tear evaporation detection (12), eye movement tracking (13), biochemical sensing (14) and mechanical sensing (15) is achieved through a hardware synchronous trigger (16), and tear film stability, epithelium integrity and inflammation degree quantitative evaluation meeting the DEWS II standard is output through feature extraction, graph neural network aggregation and Bayesian reasoning. According to the invention, high-precision and explainable intelligent diagnosis of the ocular surface pathological state can be realized.

A slit lamp and biomicroscope assembly can include a viewing system including a biomicroscope; an illumination system including a slit lamp with a light source and a light processing system with a first actuator; a positioning system supporting the biomicroscope and the slit lamp and including second and third actuators to position the biomicroscope along horizontal and vertical axes; and a user interface handle. The user interface handle can be graspable by a hand of a user and supported on the positioning system proximate to the biomicroscope such that a user looking into the biomicroscope can reach the user interface handle. The user interface handle can include a plurality of input devices including input devices in communication with the actuators.

An apparatus for medical treatment includes a gonioscope having a distal face for placement in proximity to a patient's eye, a proximal face opposite the distal face, and multiple facets between the distal and proximal faces. The apparatus also includes a laser to generate a beam, a scanner to direct the beam through the proximal face of the gonioscope to reflect from a facet into an anterior chamber of the eye, at least one slit lamp to project sheets of light into the eye through the gonioscope, a camera to capture, through the gonioscope, an image of an illumination pattern cast on the eye by the sheet of light. A processor processes the image so as to identify a location of an anatomical structure in the eye, selects targets in the eye based on the identified location, and controls the scanner so that the beam impinges on the targets.

The slit lamp microscope includes a microscope assembly (8) that projects an object plane (11) onto an eyepiece (18) or camera (16), and an illumination assembly (9) having a spatial light modulator (24). The illumination assembly includes a beam splitter (70) that acts as a low-pass filter to suppress the spatial frequencies of the pixels of the light modulator (24) and produce more uniform illumination. In other embodiments, actuators (90-98) may be used to deflect at least a portion of the illumination imaging optics (26) to produce a low-pass filtered image of the spatial light modulator (24).

A non-invasive diagnostic system is disclosed that integrates Raman spectroscopy with Artificial Intelligence (AI) to detect, classify, and quantify biomarkers and pharmacologic agents in the aqueous humor of the anterior chamber of the eye. The system includes a handheld or slit lamp-mounted Raman probe, a spectral acquisition and preprocessing pipeline, and an AI analysis engine trained to recognize disease-associated molecular signatures. The platform supports real-time diagnosis of glaucoma, uveitis, and other anterior segment conditions, enabling early detection, risk stratification, and longitudinal monitoring. The AI component is capable of incorporating newly discovered biomarkers and contextual factors such as medication use, diurnal variation, and anatomical sampling location. Diagnostic outputs are presented with confidence scores and may include disease classification, biomarker trends, or pharmacologic exposure levels. Built-in safety protocols ensure ANSI Z136.1-compliant laser use, while explainable AI tools and federated learning enhance transparency and clinical adaptability.

A slit lamp assembly with an improved structure, the slit lamp assembly including a slit lamp to allow a medical professional to observe abnormalities of an eye of a patient, and a base, including a slit lamp receiving portion disposed on a top surface of the base to receive the slit lamp thereupon, and a concave indentation cut into a rear edge portion of the base nearest the patient and having a concave shape that prevents a stomach or chest of the patient from contacting the rear edge portion of the base.

A slit lamp microscope according to an embodiment example includes a scanner, a first assessing processor, and a controller. The scanner is configured to perform application of a scan to an anterior segment of a subject's eye with slit light to collect an image group. The first assessing processor is configured to execute an assessment of a quality of the image group collected by the scanner. The controller is configured to selectively execute at least two control modes according to a result of the assessment of the quality obtained by the first assessing processor.