Abstract: A computer-implemented method for determining the refractive power of an intraocular lens includes providing a physical model for determining refractive power and training a machine learning system with clinical ophthalmological training data and associated desired results to form a learning model for determining the refractive power. A loss function for training includes: a first component taking into account clinical ophthalmological training data and associated and desired results and a second component taking into account limitations of the physical model wherein a loss function component value is greater the further a predicted value of the refractive power during the training is from results of the physical model with the same clinical ophthalmological training data as input values. Moreover, the method includes providing ophthalmological data of a patient and predicting the refractive power of the intraocular lens to be used by means of the trained machine learning system.

Abstract: A head-mounted visualization unit is provided with an at least partially light-transmissive optical system. The optical system has a first optical channel assigned to a first eye of a user and a second optical channel assigned to a second eye of the user. The first optical channel is substantially transmissive to optical radiation of a first polarization and substantially opaque to optical radiation of a second polarization, with the first polarization substantially orthogonal to the second polarization. The second optical channel is substantially transmissive to optical radiation of the second polarization and substantially opaque to optical radiation of the first polarization. A polarizer and a light attenuator are arranged in the first optical channel. The light attenuator is arranged downstream of the polarizer in a direction toward the first eye of the user.

Abstract: A method for operating a microscopy system includes irradiating a region segment of a first region by a light source with light at a first wavelength ?1 and a first luminous intensity L1, determining a substance-specific parameter within the region segment as a response to being irradiated by the light source, and repeating the steps for all region segments within the first region. In addition, the disclosure relates to a microscopy system, and a calibration method for a microscopy system.

Abstract: What is provided is a method for preparing the observation of a fluorescence intensity of fluorescence radiation of a fluorescent dye in an observation object (3) that comprises object regions (3A-H) that differ from one another in terms of their depth and/or their orientation, wherein the observation is intended to be implemented using an optical observation system (100) using which fluorescence radiation is able to be observed, provided that this has a certain minimum intensity. The method comprises the following steps: determining the parameter value of at least one parameter which influences the observation of the fluorescence intensity, and simulating the fluorescence intensity expected for the respective object regions (3A-H) on the basis of the determined parameter value of the at least one parameter and a model of the influence of the at least one parameter on the fluorescence intensity.

Abstract: A method for creating at least one correction value for correcting fluorescence intensities in a fluorescence image obtained with an optical observation system includes determining the parameter value of at least one parameter of the optical observation system which influences the observation of the fluorescence intensity, and generating the at least one correction value for correcting the fluorescence intensities in the fluorescence image based on the determined parameter value and the influence of the at least one parameter which influences the observation of the fluorescence intensity on the fluorescence intensities. A parameter of the illumination system serves as the at least one parameter which influences the observation of the fluorescence intensity. Additionally, a computer program, a computer-implemented method, a data processing unit, and an optical observation system for creating at least one correction value for correcting fluorescence intensities in a fluorescence image are provided.

Abstract: A microscopy system includes a microscope, a stand configured to mount the microscope and including a drive device configured to move the microscope, a detection device configured to detect a spatial position of a target fastened to a body part or to an instrument, wherein the position detection device includes the target with at least one marker element and an image capture device configured to optically capture the target. The microscopy system further includes at least one control device configured to operate the microscopy system according to the detected position of the target, wherein the position detection device is configured to determine the position of the target by evaluating a two-dimensional image of the image capture device. In addition, a method for operating the microscopy system is provided.

Abstract: A system and method for multimodal image acquisition and image visualization, including a surgical-microscopic system with an optical unit and an image sensor and designed for acquiring a time-resolved image signal of a selected field of view of a sample. The system includes an OCT system, which is designed to acquire a time-resolved OCT signal of the selected field of view, a display means designed for the time-resolved display of image data and a control unit. The control unit is configured to ascertain video image data corresponding to the acquired image signal and to present them on the display means, to ascertain a time-resolved OCT image, corresponding at least to a portion of the presented video image data, on the basis of the acquired OCT signal, and to present the OCT image on the display means at the position of the portion.

Abstract: The present invention relates to a system for acquiring and visualizing OCT signals, comprising an OCT system and a display means designed for the time-resolved display of image data. The system further comprises a control unit configured to drive the OCT system to acquire a time-resolved OCT signal of a selected field of view of the sample and to determine a time-resolved OCT image on the basis of the acquired time-resolved OCT signal and a specifiable virtual viewing direction and to display the time-resolved OCT image on the display means. The present invention also relates to a corresponding method for acquiring and visualizing OCT signals.

Abstract: The invention relates to a method for operating a visualization system in a surgical application, wherein a registration device of the visualization system provides a video data stream with a first image size as an output, wherein an image excerpt of the video data stream with a second image size that has been reduced in relation to the first image size is transmitted to a head-mounted visualization device via a communications link and is displayed on a display device of the visualization device, wherein a viewing direction of a user is registered by means of a sensor system, and wherein the image excerpt of the video data stream is defined on the basis of the registered viewing direction. Further, the invention relates to a visualization system.

Abstract: An apparatus for classifying a brain tissue area as functional or non-functional by a stimulation of the brain includes a receiver unit for receiving information about a performed stimulation, a recording device for recording images that represent the brain tissue area, a detection unit for detecting a change in perfusion in the brain tissue area, and a classification unit configured to determine with the information whether there is a correlation between the performed stimulation and the detected change in perfusion, and to classify the brain tissue area as functional or as non-functional. The recording device is an endomicroscope for recording endomicroscopic images of the brain tissue area with a spatial resolution better than 20 ?m and a frame rate of at least 0.4 frames per second. The detection unit is configured to detect a change in perfusion based on the positions of certain tissue structures in the recorded images.

Abstract: The present invention relates to a device for positioning an implant in an eye. The device includes an image recording unit, an image display unit, a control and evaluation unit and an implantation tool. The image recording unit provides images of the target area in the eye. The control and evaluation unit to detects eye structures in the images of the target area, to propose or to select a target region for the implant and to generate navigation data for the introduction of the implantation tool into the target region. The proposed device can be used for positioning implants in any regions of the eye.

Abstract: A microscopy system includes a microscope, a stand configured to mount the microscope and including a drive device configured to move the microscope, a detection device configured to detect a spatial position of a target fastened to a body part or to an instrument, wherein the position detection device includes the target with at least one marker element and an image capture device configured to optically capture the target. The microscopy system further includes at least one control device configured to operate the microscopy system according to the detected position of the target, wherein the position detection device is configured to determine the position of the target by evaluating a two-dimensional image of the image capture device. In addition, a method for operating the microscopy system is provided.

Abstract: The invention relates to a computer-implemented method (10) for determining the blood volume flow (IBI) through a portion (90i, i=1, 2, 3, . . . ) of a blood vessel (88) in an operating region (36) using a fluorophore. A plurality of images (801, 802, 803, 804, . . . ) are provided, which are based on fluorescent light in the form of light having wavelengths lying within a fluorescence spectrum of the fluorophore, and which show the portion (90i) of the blood vessel (88) at different recording times (t1, t2, t3, t4, . . . ). By processing at least one of the provided images (801, 802, 803, 804, . . .

Abstract: An apparatus is for localizing brain tissue regions connected with a brain function in a brain operating field. The apparatus includes a stimulation apparatus and a localization unit with a camera. The stimulation apparatus is configured to carry out a number of stimulation cycles. Each cycle includes a stimulation phase during which the brain function is stimulated and a rest phase during which there is no stimulation of the brain function. The localization unit records at least one stimulation image with the stimulated brain function and at least one reference image without the stimulated brain function during each stimulation cycle and uses the recorded stimulation and reference images to localize the brain tissue regions connected with the stimulated brain function. The stimulation apparatus is configured to output a feedback signal to the localization unit with at least the start of a stimulation cycle being evident from the feedback signal.

Abstract: The invention relates to a medical optical system. The medical optical system comprises: —a microendoscope (3) for capturing histological images, each of which displays a microscopic tissue section (16) of a macroscopic tissue region (15) with a tumor (23); and—a classification device (31) for classifying the macroscopic tissue sections (16) displayed in the histological images as at least one respective tissue section that represents the tumor (23) or a tissue section that represents healthy tissue and for outputting a classification result for each classified microscopic tissue section (16). The medical optical system additionally comprises a combination device (37) which generates a macroscopic classification image (43) by combining the classification results, said classification image representing the location of the tumor (23) in the macroscopic tissue region (15).

Abstract: 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.

Abstract: The invention relates to a head-mounted visualization system having a wearing system, at least one light-transmissive optical system, an image generation device designed to generate image information based on the image data supplied to the image generation device, wherein the optical system is designed to supply image information generated by the image generation device to a person wearing the visualization system, and a polarization unit designed to polarize light penetrating the optical system differently in two spatial regions. The invention further relates to a surgical visualization system having such a head-mounted visualization system and to a visualization method for a surgical environment.

Abstract: A head-mounted visualization unit is proposed having an at least partially light-transmissive optical system, wherein the optical system has a first optical channel, which is assigned to a first eye of a user of the head-mounted visualization unit, and a second optical channel, which is assigned to a second eye of the user, wherein the first optical channel is substantially transmissive to optical radiation of a first polarization and substantially opaque to optical radiation of a second polarization, with the first polarization substantially being orthogonal to the second polarization, wherein the second optical channel is substantially transmissive to optical radiation of the second polarization and substantially opaque to optical radiation of the first polarization, wherein at least in the first optical channel a polarizer and a light attenuator are arranged, and wherein the light attenuator is arranged downstream of the polarizer in a direction toward the first eye of the user.

Abstract: The invention relates to a computer-implemented method for a machine learning-supported processing pipeline for determining parameter values for an intraocular lens to be inserted. The method comprises providing a scan result of an eye. The scan result is an image of an anatomical structure of the eye. The method further comprises determining biometric data of the eye from the scan results of an eye and using a first, trained machine learning system for determining a final position of an intraocular lens to be inserted, ophthalmological data being used as input data for the first machine learning system. The method further comprises determining a first optical power of the intraocular lens to be inserted, which is based on a physical model in which the determined final position of the intraocular lens and the determined biometric data are used as input variables for the physical model.

Abstract: The invention relates to a computer-implemented method and a corresponding system for a machine-learning-supported determining of refractive power for a measure for correcting the eyesight of a patient. The method involves providing a scan result of an eye, wherein the scan result represents an image of an anatomical structure of the eye. The method also involves supplying the scan result as input data to a first machine-learning system in the form of a convolutional neural network, and using output values of the first machine-learning system as input data for a second machine-learning system in the form of a multi-layer perceptron, and a target refraction value for the second machine-learning system is used as an additional input value for the second machine-learning system. Finally, the method involves determining parameters for the measure for correcting the eyesight of a patient via an immediate and direct cooperation of the first machine-learning system and the second machine-learning system.