Carl Zeiss Meditec Ag

Markus Philipp

Stefan Saur

Christian Voigt

Christian Albrecht

Anna Alperovich

Franziska Mathis-Ullrich

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 () 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 (-), which are associated with an increased probability of the presence of surgical instruments.

Tool-type agnostic assistance functionality for surgical operations

A method for operating a microscopy system is provided. The microscopy system includes a microscope and a stand supporting the microscope. The microscope is arranged on the stand. The stand includes at least one drive device configured to move the microscope. The method includes determining a specified value or a specified change of a modulable inertia of the microscopy system based on a state variable and/or based on user information and/or based on a force acting on the microscopy system and/or based on a current instance of application. The at least one drive device is controlled such that a divergence between the specified value and an actual value of the modulable inertia is reduced or the modulable inertia is varied in accordance with the specified change.

Method for operating a surgical microscopy system, and surgical microscopy system

A computer-implemented method for generating a control signal by locating at least one instrument by way of a combination of machine learning systems on the basis of digital images is described. In this case, the method includes determining parameter values of a movement context by using the at least two digital images and determining an influence parameter value which controls an influence of one of the digital images and the parameter values of the movement context on the input data which are used within a first trained machine learning system, which has a first learning model, for generating the control signal.

Fusion of spatial and temporal context for location determination for visualization systems

A method for operating a microscopy system and to a microscopy system are provided. A pivot point is defined, wherein the microscopy system is operated such that a microscope of the microscopy system moves at a constant distance around the pivot point, wherein a reference surface is determined, wherein an intersection of an optical axis of the microscope and the reference surface is determined as the pivot point, wherein the pose of the reference surface is defined in a focal position-independent reference coordinate system and the pivot point is determined as the intersection of the optical axis with the thus defined reference surface in the reference coordinate system.

Method for operating a microscopy system, and microscopy system

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.

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Aalen, Germany

Markus Philipp