Abstract: A system and a method for optically detecting a pose of at least one instrument in an operating theater are provided. The method includes determining pose information of the at least one instrument with an optical pose detection device of a surgical microscope or with a microscope-external optical pose detection device, determining whether the pose information is biunique or whether a biunique determination of the pose of the instrument is possible, and evaluating additional information for determining additional pose information, at least for a case where no biunique determination of the pose is possible.

Abstract: A visualization system includes an observation apparatus having a first image recording device to observe an operation region with a first observation plane, and an endoscope having a probe and a second image recording device to observe the operation region with a second observation plane. A display device represents a first image recorded by the first image recording device in a first orientation and a second image recorded by the second image recording device in a second orientation. The visualization system further includes a tracking system to determine an orientation of the endoscope relative to the observation apparatus and a controller configured to transform the second image based on the orientation of the endoscope relative to the observation apparatus.

Abstract: A computer-implemented method for predicting digital images in the form of a digital fluorescence representation together with a further derived representation by means of a combined machine learning system is described. The method comprises providing a first digital image of a tissue sample that was recorded under white light by means of a microsurgical optical system with a digital image recording unit, and predicting a second digital image of the tissue sample in a fluorescence representation and a further representation, which has optical indications about diseased tissue elements. This is done by means of a previously trained combined machine learning system comprising a trained combined machine learning model for predicting the second digital image of the tissue sample in the fluorescence representation and the further representation.

Abstract: Techniques which relate to an automatic configuration of one or more components of a surgical microscopy system for imaging a moving object are disclosed. In the described techniques, the initially determined target configuration of the surgical microscopy system is selectively adapted if a movement of the moving object is detected; this selective adaptation takes place when the movement is within a predefined spatial limit and/or a predefined temporal limit.

Abstract: A description is given of techniques in connection with carrying out an assistance functionality for a surgical microscopy system. The assistance functionality—for example auto-centring or measurement of a surgical instrument—is carried out in connection with multiple objects that are depicted in an image captured by way of the surgical microscopy system. Prioritization information for the objects is furthermore also taken into consideration, for example in order to perform classification into relevant and irrelevant objects.

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-assisted method for position determination for an intraocular lens supported by machine learning. The method comprises providing a scan result for an eye. The scan result here represents an image of an anatomical structure of the eye. The method further comprises use of a trained machine learning system for the direct determination of a final location of an intraocular lens to be fitted, wherein digital data of the scan of the eye is used as the input data for the machine learning system.

Abstract: A visualization system includes an observation apparatus having a first image recording device to observe an operation region with a first observation plane, and an endoscope having a probe and a second image recording device to observe the operation region with a second observation plane. A display device represents a first image recorded by the first image recording device in a first orientation and a second image recorded by the second image recording device in a second orientation. The visualization system further includes a tracking system to determine an orientation of the endoscope relative to the observation apparatus and a controller configured to transform the second image based on the orientation of the endoscope relative to the observation apparatus.

Abstract: Various types of the disclosure pertain to determining a type of a microsurgical intervention. The type of the microsurgical intervention is determined based on metadata associated with video data encoding a microsurgical video. It is optionally possible to take into account the video data when determining the type of the microsurgical intervention.

Abstract: Various examples relate to techniques for recording, in association with surgery carried out on a patient, measurement data with depth resolution, such that, on the basis thereof, it is possible to determine a transformation specification which mediates between images captured by means of a robotic visualization system, e.g. a surgical microscope, and preoperative volume image data.

Abstract: A method and a device for generating a control signal for a controllable device are provided. The controllable device has an optical position detection system. At least two images of at least one spatial region are generated with at least one optical detection device of the optical position detection system. Markers are identified in the images and the control signal is generated when a relative position between at least two markers changes. In addition, a marker array and a controllable system are provided.

Abstract: A parameterization of a control algorithm of a surgical microscope is carried out on the basis of one or more context parameters of an operation. On the basis of the parameterization, the control algorithm then is applied to one or more state indicators associated with a first setting of the surgical microscope in order thus to obtain a second setting of the surgical microscope. By way of example, the parameterization can comprise one or more prioritization operations.

Abstract: An eye surgery surgical system includes a device for displaying a relative position of a section of a surgery object in a 3D reconstruction of a region of an eye, a device for continuously providing at least two data records relating to at least partly overlapping portions of the region of the eye and of the section of the surgery object to a computer, a computer program for continuously ascertaining the relative position of the section of the surgery object and continuously ascertaining the 3D reconstruction of the eye from the data records provided. The program includes a first routine for continuously ascertaining the relative position of the section of the surgery object and the 3D reconstruction of the region of the eye from the data records provided via a registration method and a second routine for adapting the registration method based on a criterion.

Abstract: The invention relates to techniques for controlling an assistance functionality for a surgical operation on a patient. A machine-trained algorithm is used to obtain a map (76) of an operation region. This map can be used to control an assistance functionality in the context of the surgical operation. The map is indicative of one or more activity regions (101-103), which are associated with an increased probability of the presence of surgical instruments.

Abstract: A method for monitoring vital data of a user of a mobile device is presented.

Abstract: The invention relates to a method for operating a visualization system in a surgical application, wherein at least one image representation of a region to be operated on and/or operated on is captured by means of a capturing device, wherein the at least one image representation is displayed on a main display device, wherein a pose of a visualization device that can be worn on the head relative to a display surface of the main display device is captured by means of a pose sensor system, and wherein at least one three-dimensional augmentation information item corresponding to the at least one image representation displayed is generated and/or provided and is displayed on a display device of the visualization device, wherein the augmentation information item is generated and/or provided in consideration of the captured pose in such a way that the at least one image representation displayed on the main display device is extended into a three-dimensional region by the at least one three-dimensional augmentation in

Abstract: An optical observation system includes a contactless pointer unit having a real component including a position labeling device and a virtual component including a virtual tip which is at least intermittently spaced apart from the real component. The system includes a unit for capturing at least one portion of an object and a unit for capturing a position and an alignment of the real component and a unit configured to display the captured portion of the object. The system includes a control unit for ascertaining a position of the virtual tip based on the captured position and alignment of the real component and for arranging for the image output unit to display, with a mark, the position of the virtual tip in the displayed captured portion of the object. An operating method, a pointer device suitable as a real component and a computer program product 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 method for calibrating a stereoscopic medical microscope includes (a) capturing images of at least one three-dimensional calibration object using cameras of a stereo camera system of the medical microscope, (b) generating calibration data based on the captured images, the generated calibration data being stored for correction, (c) capturing further images of at least one two-dimensional calibration object with the cameras of the stereo camera system, and (d) generating further calibration data based on the captured further images, the further calibration data being stored for correction. In addition, a medical microscope arrangement is provided.

Abstract: A robotic surgical system for treating a patient includes a surgical robot with a moveable robot member, an actuator for moving the robot member to 6D poses in a surgical field and for driving the robot member to act in the surgical field, a robot sensor for providing robot sensor data, and a control device for controlling the actuator according to a control program and under feedback of the robot sensor data, a processing unit configured to provide the control program to the control device, and to include and utilize a virtual anatomical model, a virtual surgical robot simulating movement and driving of the robot member, a surgical simulator, a sensor simulator, and a machine learning unit to create the control program, the machine learning unit reading the sensor simulator, the virtual surgical robot, and the virtual surgical field and feeding the virtual surgical robot.