304 results about "Fundus (eye)" patented technology

The invention belongs to the technical field of retina imaging and fundus three-dimensional reconstruction, and particularly relates to a color three-dimensional fundus imager optical system. Comprising a large eye objective lens, a dichroscope, a hollow reflector, a focusing lens, a spectroscope, a retina lens, a retina imaging chip, a fixation lens, a sighting mark lamp, an illumination lens, an annular light source, a pupil lens, a pupil imaging chip, an infrared lens, an infrared dodging lens, an infrared light source, a scanning lens, a three-dimensional galvanometer, a collimator, a coupler, a frequency sweeping light source and a dispersion compensator. A polarization controller, a coupler and a photoelectric detector. The system is mainly composed of a visible light imaging light path, an infrared imaging light path and a laser imaging light path, the visible light imaging light path is used for shooting color fundus two-dimensional images, the infrared imaging light path is used for real-time positioning and focusing of human eye pupils, and the laser imaging light path is used for three-dimensional tomography of retinas. The objective of the invention is to solve the problem that existing medical equipment cannot acquire fundus color three-dimensional images.

The invention provides a fundus color photograph repairing method, system and device based on a diffusion model, a medium and a program product, and the method comprises the steps: converting a plurality of color images into a CMYK format, quantifying a black plane to establish a dynamic threshold value, carrying out the morphological operation through employing a binary mask, and carrying out the restoration of a fundus color photograph. Selecting the maximum area in each image as a mask to identify the most significant shadow area, and constructing a mask library according to the most significant shadow area; adding noise to an original image based on the mask library; constructing a noise prediction model based on the original image and the noise image; based on the noise prediction model, training a U-Net model to obtain a diffusion model used for recovering an original image from a noise image; and performing model reasoning by using the trained diffusion model so as to reconstruct the image with the shadow into a clean image without loss. According to the technical scheme, the precision and efficiency of image processing are improved, the generalization ability and robustness of the model are enhanced, and the details and precision of the image can be well restored for the situation that an existing algorithm (such as a generative adversarial network or an automatic encoder) is limited in effectiveness when the image suffers from major detail loss.

The invention relates to the technical field of medical image processing, and discloses a fundus focus segmentation method, system and device based on an uncertainty OCT image and a medium, and the method comprises the steps: constructing an encoder-decoder network architecture; an uncertainty guiding module is embedded into the tail end of the encoder, an uncertainty graph is generated, and weighted enhancement is carried out on input features; a cross-layer fusion module is embedded in the jump connection of the encoder and the decoder, features of different levels are processed through parallel maximum value fusion and multiplication fusion branches, and fusion features are generated and then transmitted to the decoder; performing independent uncertainty quantization at the tail end of the decoder to generate an uncertainty graph of each lesion category; and combining the target-level uncertainty excitation loss function and the pixel-level uncertainty loss function, and optimizing network parameters through a total loss function. According to the method, the automatic identification and segmentation performance of a complex focus area can be remarkably improved, and accurate quantitative analysis of ophthalmic diseases is facilitated.

The invention discloses a near-infrared contact lens for eye movement tracking and a preparation method, the contact lens comprises a contact lens layer, a processing circuit module, a wireless power supply coil, a near-infrared LED lamp and a photoelectric detector, the photoelectric detector is adjacent to the near-infrared LED lamp, the near-infrared LED lamp is used for emitting near-infrared light to the fundus, and the processing circuit module is used for processing the near-infrared light. The photoelectric detector is used for receiving near-infrared light reflected back from the fundus and detecting the movement direction and angle of the eyeball in real time by comparing irradiation values of the photoelectric detector, and the processing circuit module is connected with the photoelectric detector and used for comparing the difference of the irradiation values of the near-infrared light received by the photoelectric detector and determining the movement direction and angle of the eyeball. And the wireless power supply coil is directly connected with the processing circuit module and is used for wirelessly supplying power to the processing circuit module and the near-infrared LED lamp. According to the near-infrared contact lens, infrared waves generated by the near-infrared LED lamp avoid the visible range of human eyes, and meanwhile, all modules of the near-infrared contact lens are distributed around the contact lens, so that the daily life of a user is not influenced.

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.

The invention provides an anterior segment eye movement tracking method, an anterior segment eye movement tracking device and electronic equipment, relates to the technical field of eye movement tracking, synchronously acquires a pupil image and an OCT (Optical Coherence Tomography) structural diagram, provides a comprehensive eye movement tracking strategy considering pupil center offset and the OCT structural diagram, and ensures that in an optical coherence tomography imaging process, even if eye movement or blinking occurs, the eye movement can be accurately tracked. And high-quality image acquisition can be maintained, and the uniformity of the front-view cross-section image is improved. Corresponding compensation measures are taken on the fundus structure diagram based on the preset pupil center offset threshold value, the requirement of the system for extremely high real-time performance is lowered, and a wider hardware platform can support efficient eye movement compensation. In the OCT acquisition process, the image is dynamically monitored, the eye movement or eye closing condition can be synchronously evaluated, it is guaranteed that data acquired each time meets the preset quality standard, the consistency and reliability of the whole imaging process are improved, and the clear and accurate OCT image can be obtained no matter how the state of a patient changes.

A system and method are provided for bimodal detection and / or imaging of macular pigments. Fundus autofluorescence spectroscopy is applied in a first and a second region of an eye to measure fluorescence values from the fluorescing pigment (e.g., lipofuscin). The first region can be a macula, which has a higher density of macular pigments, and the second region can be in the peripheral retina, which has a lower density of macular pigments. Fundus reflection spectroscopy is applied in the first and a second region of an eye, as a baseline image, to determine absorptions due to other pigments (e.g., melanin) than the macular pigments and the fluorescing pigment. The density of macular pigments is determined using the measures fluorescence values and the absorptions due to other pigments.

The invention discloses an ocular surface illumination treatment device and method, and belongs to the technical field of ophthalmology medical equipment and treatment. The device comprises an infrared camera module, a computer terminal analysis control module, an optical power detection module, a mechanical adjustment module, a safety switch module and an illumination module. Wherein the infrared camera module comprises an infrared CCD (Charge Coupled Device) camera and a near-infrared light source which are arranged at a preset included angle and can collect eye images and transmit the eye images to the computer terminal, and the highest recording speed of the infrared camera module is not lower than 200 frames per second; and the computer terminal analyzes the image to obtain pupil positions, diameters and distances, and adjusts relative positions of a shielding device and a lens group in the light path of the illumination module, the axis of the light path and the distance between left and right lens cones, so that the central dark area of the annular light spot is matched and overlapped with the pupil. Eye images are collected and processed firstly, then light spots and the lens cone are adjusted, finally phototherapy and real-time monitoring are carried out, light can be prevented from entering the fundus, the treatment safety is improved, and the device is suitable for ocular surface diseases such as xerophthalmia.

The invention relates to the technical field of image processing, in particular to a full-eye image automatic splicing method and system based on sweep-frequency OCT, and the method comprises the steps: collecting anterior segment images and retina images at different visual angles in combination with manual guidance; pre-processing the anterior segment images of different visual angles to obtain anterior chamber angle information, performing rigid registration on the anterior segment images based on the anterior chamber angle information, and fusing the registered anterior segment images to obtain an anterior segment OCT spliced image; performing transverse and longitudinal registration on the retina images of different visual angles by using the synchronously acquired laser eye fundus images, and performing fusion and curvature correction on the registered retina images to obtain a retina OCT spliced image; and splicing the anterior segment OCT spliced image and the retina OCT spliced image to obtain a full-eye image. According to the method and the device, the anterior segment image and the retina image can be seamlessly spliced while high-resolution detail presentation is ensured, and a more complete full-eye image with a clearer structure is obtained.

The invention is suitable for the technical field of medical image processing, and provides a fundus fluorescence radiography report generation method based on a visual large model, and the method comprises the steps: pre-training a fundus fluorescence radiography visual large model, extracting the image features of a fundus fluorescence radiography sequence image through the fundus fluorescence radiography visual large model, and constructing a pseudo time sequence curve; based on the pseudo time sequence curve, key point detection is carried out, a plurality of phase periods are divided, and a phase weight is set for each phase period; calculating a comprehensive score for each frame of the pseudo time sequence curve based on the phase weight in combination with time novelty; based on the comprehensive score, combining a preset target key frame number to obtain a key frame sequence; based on the key frame sequence, a multi-view sequence image report generation model is combined, a Chinese diagnosis report is generated, the time sequence information and phase characteristics of the fundus fluorescence contrast sequence can be fully mined, the diagnosis report conforming to clinical specifications is generated, and the limitation of the prior art is effectively overcome.

The invention relates to a retina image processing method and device and a computer readable storage medium, and relates to the technical field of image processing. The retina image comprises a fundus photo and an optical coherence tomography angiography (OCTA) image, and the processing method of the retina image comprises the following steps: determining candidate feature points in the fundus photo and the OCTA image; selecting marker feature points in the fundus photo and the OCTA image from the candidate feature points based on eye anatomy information; and on the basis of the marker feature points in the fundus photo and the OCTA image, aligning the vascular structures in the fundus photo and the OCTA image.

The invention relates to the technical field of blood vessel image segmentation, and provides a fundus blood vessel image accurate segmentation method based on a U-Net model, aiming at solving the problem that the existing blood vessel segmentation method based on deep learning is difficult to effectively balance global context and local details. In order to solve the problem of inaccurate blood vessel structure segmentation caused by factors such as poor image quality and low contrast ratio, a method of combining a wavelet and a visual state space model and an adaptive dynamic fusion module is provided to improve the integrity of a slender blood vessel and the structural segmentation accuracy of a complex blood vessel network in a fundus blood vessel image. By integrating multiple efficient feature extraction mechanisms, accurate recognition of small blood vessels and the whole blood vessel structure is achieved, the accuracy and robustness of blood vessel segmentation in complex medical images are remarkably improved, and the method can be widely applied to analysis of eye blood vessels such as retinopathy and hypertensive fundus lesion and research of biomarkers related to the blood vessels.

The utility model relates to a visual training mechanism based on a sighting mark, and the mechanism comprises a visual tube which is internally provided with a channel; the light source module is used for providing light spots with specified illumination intensity, size and shape, is arranged in the channel of the visual tube and can move along the length direction of the channel; the moving module is used for driving the light source module to move in the channel of the viewing tube; the light source module is arranged to be of a movable structure in the visual tube, the specific position of the light source module in the visual tube can be adjusted according to actual visual training requirements, and the visual training device has the advantages of being diversified in function and good in visual training effect. Meanwhile, the pattern on the sighting mark sheet of the light source module can enable the user to more directly and clearly sense the moving process of the light source module during forward and backward movement of the light source module during visual training, so that the ciliary muscle of the user can adjust the eyes of the user on the basis that the fundus receives illumination, and the visual training effect is improved.

The invention discloses an eye color sense function detection system and method fusing VR and artificial intelligence. The system comprises VR terminal equipment, a data storage module, an artificial intelligence processing module and a power supply module. Wherein the VR terminal equipment comprises a VR head-mounted display, an infrared eye movement tracking camera, a host control system and an interactive input handle; the data storage module is used for storing detection data; the artificial intelligence processing module is used for performing color vision disorder qualitative analysis, color vision disorder quantitative analysis and color vision disorder and fundus problem association evaluation on the detection data to obtain an evaluation result; and the power supply module is connected with the VR terminal equipment, the data storage module and the artificial intelligence processing module and is used for providing power supply guarantee. According to the method, interference of subjective factors is reduced, the detection accuracy is improved, the automatic detection process and the intelligent data analysis capability of the system are improved, and the detection time is greatly shortened.

The invention discloses a fundus color photo segmentation model construction method for intelligent diagnosis of pathological myopia. The method comprises the following steps: constructing an image preprocessing module by using an image enhancement unit, a size adjustment unit and a normalization unit; a convolutional neural network is adopted as a backbone network, and a shared feature extractor module is built in combination with cavity convolution, a multi-scale pyramid pooling module and a space attention mechanism; the design of dynamically expanding an output channel is adopted, and a task head segmentation module is built through the combination of an upper sampling layer, jump connection and an output convolution layer; sequentially connecting an image preprocessing module, a shared feature extractor module and a segmentation task head module to form a segmentation basic model; model training; and performing fine tuning on the new task to obtain a segmentation basic model of the newly-added task. According to the method, new tasks can be quickly adapted according to different requirements, the consumption of training time and computing resources can be effectively reduced, and the efficiency and accuracy of disease diagnosis can be greatly improved.

The invention relates to the technical field of visual function detection, in particular to a visual function detection method and system based on image analysis, and the method comprises the following steps: collecting a multi-wavelength reflection image of fundus, adjusting a light source to set wavelength parameters, activating camera equipment to receive an image, and carrying out the denoising and contrast adjustment of the collected image. A multi-wavelength retinal image dataset is generated. According to the method, the definition and the contrast ratio of the image are greatly improved by collecting the multi-wavelength image and carrying out detailed denoising processing, higher precision is brought to damage identification, misdiagnosis opportunities are reduced, the retinal damage is mapped by calculating the light intensity gradient, the damage range is accurately captured, positioning of the damage area is refined, and the accuracy of damage identification is improved. Through high-speed capture and data analysis of pupil dynamic response, deep insight of an eye movement mode is provided, visual function evaluation is more visual and comprehensive, and comprehensiveness and accuracy of evaluation are enhanced through cross validation of visual field defect and pupil dynamic data.

An ophthalmic apparatus includes a light source, an illumination optical system, an optical scanner, an imaging optical system, and a controller. The illumination optical system generates slit-shaped illumination light. The optical scanner deflects the illumination light to guide the illumination light to a fundus of a subject's eye. The imaging optical system guides returning light of the illumination light from the fundus to an image sensor. The controller controls the image sensor using a rolling shutter method. The illumination optical system includes a slit-shaped aperture arranged at a position substantially conjugate optically to the fundus, an iris aperture arranged between the light source and the slit, and configured to be at a position substantially conjugate optically to an iris of the subject's eye; and an optical element arranged between the light source and the iris aperture, to deflect the light from the light source.

Rather than rely solely upon pupillary occlusion or tracking of eye movement to protect the fundus from accidental exposure to electromagnetic radiation, the present invention also utilizes an electromagnetic radiation pathway with a profile such that the energy density at the iris is greater than the energy density at the posterior portion of the eye. This disparity in energy density allows for efficacy at the anterior iris treatment site, without injury to the fundus.

The application discloses an eye fundus periphery aberration measuring device and relates to the technical field of optical instruments. The eye fundus periphery aberration measuring device comprises a mounting piece, a fog vision component and a measuring component. The mounting piece is in a bowl shape. The fog vision component is provided with a plurality of fog vision components, and the plurality of fog vision components are all mounted on the mounting piece and are used for projecting fog vision signals to the inside of the mounting piece in different directions. The measuring component is arranged outside the mounting piece. The mounting piece is provided with a measuring hole, and the measuring component is used for measuring the aberration of the eye fundus through the measuring hole. The technical scheme provided by the application enables the eye fundus periphery aberration measuring device to perform aberration measurement in a larger field of view angle range.

The invention relates to the field of fundus photograph enhancement and segmentation, and provides a fundus photograph enhancement segmentation method and device based on Diffusion, and the method comprises the steps: obtaining a fundus photograph, inputting the fundus photograph into a pre-trained Diffusion-based combined image enhancement segmentation model, and obtaining a fundus photograph enhancement image and a fundus photograph retinal blood vessel segmentation image; the model comprises a Diffusion-based image enhancement branch, an image segmentation branch and a symbiotic information interaction module, and the symbiotic information interaction module is used for realizing information flow between the image enhancement branch and the image segmentation branch, so that the image enhancement branch generates a fundus color photograph enhancement image based on a fundus color photograph and information from the image segmentation branch. Meanwhile, the image segmentation branch generates a fundus color photoretinal blood vessel segmentation image based on the fundus color photograph and information from the image enhancement branch. According to the invention, the understanding and analysis of the model on the image can be improved, and accurate blood vessel segmentation is provided while the image quality is improved.

The invention relates to the field of medical treatment, in particular to a device for retina laser surgery practice. The eyeball model comprises a sclera, a cornea, an iris, a crystalline lens, a vitreous body and a retina; the mutual shapes and position relations of the sclera, the cornea, the iris, the crystalline lens, the vitreous body and the retina are the same as those of a real eyeball; wherein the retina is made of a photosensitive material; in the retina laser operation practice process, laser marks can be left on the photosensitive material through the fundus laser machine, and then a doctor is assisted to conduct practical operation practice.

The invention relates to the glasses industry, and aims to provide a lens structure for assisting eye disease rehabilitation by filtering and a manufacturing method thereof. A traditional lens is mainly used for correcting ametropia, and on the basis, by changing the filtering permeability of the lens, the filter lenses with different colors are used for filtering light rays with different wavelengths, the light rays act on fundus cells, the functions of the fundus cells are affected, and the effects of protection and auxiliary treatment of eye diseases are achieved. Yellow, tawny, gray, red and Finnish green filter lenses and sleep-aiding blue lenses (10%-30% of dyed lenses) are specifically designed. Lenses with different colors have unique filtering characteristics and can play a role in different eye diseases, for example, a light yellow lens is added to amblyopia to accelerate rehabilitation, and a brown lens is added to macular degeneration to suppress disease development. Meanwhile, the invention further provides a lens manufacturing method which comprises the steps of adding a color matching standard, carrying out standard operation on a dyeing heating process and the like, and the lens chromatic aberration is controlled in the horizontal direction so as to ensure the lens quality and the filtering effect.

The invention discloses a handheld rapid three-dimensional fundus blood supply imaging system and method.The system comprises an upper computer, a laser excitation module, a probe, a data collection module and a space positioning module, the laser excitation module, the probe, the data collection module and the space positioning module are connected with the upper computer, and the laser excitation module conducts wavelength conversion on input pump laser through the stimulated Raman scattering principle to generate excitation light; the exciting light is then transmitted to the probe for high-speed scanning, the probe receives real-time pose feedback of the space positioning module at the same time so as to eliminate the influence of operation jitter, the data acquisition module pre-processes a photoacoustic signal acquired by the probe and then transmits the photoacoustic signal to the upper computer, and a distribution diagram is generated through an image reconstruction algorithm and analyzed. According to the invention, four clinical troubles of poor molecular specificity, depth-resolution imbalance, low clinical adaptability and deficiency of quantitative standards in the existing imaging technology are fundamentally solved, and a universal tool is provided for early screening of eye ground ischemic diseases.

An ophthalmic apparatus includes a light source, an illumination optical system, a light scanner, an imaging optical system, and a control unit. The illumination optical system generates slit-shaped illumination light using the light from the light source. The light scanner deflects the illumination light and guides the illumination light to the fundus of an eye to be examined. The imaging optical system guides the return light of the illumination light from the fundus to an image sensor, and the image sensor acquires the light reception result of a region of a light reception surface corresponding to an illumination region of the illumination light in the fundus moved by the light scanner in a rolling shutter manner. The control unit controls the deflection angle of the illumination light by the light scanner. The light scanner outputs a scanner position signal corresponding to the deflection angle of the illumination light. The image sensor starts acquiring the light reception result of the return light in synchronization with the scanner position signal.

The invention discloses an optical system and method for measuring the axial length of the eye, the optical system comprises an OCT light source module, an OCT imaging module, a posterior segment OCT sample arm module and an anterior segment fracture imaging assembly, the OCT light source module provides measuring light, the measuring light penetrates through the posterior segment OCT sample arm module and then enters the fundus of the human eye to be measured, and the anterior segment fracture imaging assembly is used for imaging the anterior segment fracture. The OCT imaging module receives the measuring light to obtain a posterior segment OCT image; the anterior segment fissure imaging assembly comprises an anterior segment fissure light source module, an anterior segment fissure imaging module and an anterior segment fissure imaging adjusting light path module, the anterior segment fissure light source module provides fissure light, and the fissure light penetrates through the anterior segment fissure imaging adjusting light path module and then is focused on the anterior segment of a person to be detected; the anterior segment fissure imaging module receives the fissure light to obtain an anterior segment fissure image; and respectively acquiring first optical path data and second optical path data by using the posterior segment OCT image and the anterior segment fracture image so as to calculate the axial length of the eye. According to the invention, the influence of eye movement of the to-be-measured eye is avoided, and the eye axis length measurement precision is improved.

An imaging unit of an ophthalmic apparatus according to an embodiment performs imaging using a rolling shutter imaging device while moving a projection position of slit light on a fundus of an eye to be examined. The focus adjustment unit has a structure for performing focus adjustment of the imaging unit. The processor performs a slit light projection control, a condition determination process, and a focus adjustment control. In the fissure light projection control, the processor controls the imaging unit in order to project fissure light to the fundus of the subject eye. In the condition determination process, the processor determines a focus adjustment condition on the basis of an output from the imaging device that detects return light of the slit light projected onto the fundus. In the focus adjustment control, the processor controls the focus adjustment unit based on the focus adjustment condition.

The utility model belongs to the technical field of ophthalmologic operations, and particularly relates to a forehead and chin supporting frame for the prone position of a fundus patient, which comprises a fixing plate, guide rods are symmetrically fixed on one side of the top of the fixing plate, a shielding pad is fixed on the top of one end of each guide rod, and a first supporting pad is fixed on one side of each shielding pad. The outer side of the other end of the guide rod is movably sleeved with an adjusting plate, moving openings are symmetrically formed in the side wall of the adjusting plate, the guide rod penetrates through the moving openings, a second supporting pad is fixed to the top of the adjusting plate, the first supporting pad and the second supporting pad are both made of elastic materials, and an elastic rod is fixedly connected to the middle of the side wall of the fixing plate. The outer side of the elastic rod is movably sleeved with an observation plate, and a mirror surface is arranged on the top face of the observation plate. The face of a patient is supported, the eyes of the patient are prevented from being pressed, meanwhile, medical staff can conveniently observe the situation of the eyes of the patient from multiple angles by adjusting the angle of the mirror face, and the practicability of the whole supporting tool is improved.

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.

The present invention discloses an ophthalmic device, comprising an illumination optical system, an optical scanner, a photographing optical system, a control unit, and an image forming unit. The illumination optical system generates slit-shaped illumination light. The optical scanner deflects the illumination light and guides the illumination light to the fundus of the eye to be examined. The photographing optical system guides the return light of the illumination light from the fundus to an image sensor. The control unit controls the optical scanner. The image forming unit forms an image of the fundus based on the light reception result obtained in the photographing object area on the light receiving surface of the image sensor. The image sensor is configured to obtain the light reception result in the opening area of the light receiving surface corresponding to the illumination area of the fundus by the illumination light moving in a predetermined scanning direction by the optical scanner in a rolling shutter manner. The control unit controls the optical scanner in such a manner that the irradiation time of the return light on each of the multiple light receiving elements in the photographing object area is approximately equal.

An illumination apparatus for illuminating an examination object, in particular for illuminating a fundus section of a patient's eye, includes at least one light source which emits light onto a micromirror actuator, which is controllable by a control device for the purpose of preshaping the wavefront reflected by the micromirror actuator, and at least one light guide configured to guide the reflected light of the light source that has been preshaped by the micromirror actuator to an examination object. The light guide includes a first end for coupling light into the light guide and a second end for coupling light out of the light guide. In addition, an illumination method, and also an illumination system and a method for operating an illumination system are provided.