Carl Zeiss Meditec Ag

Carl Zeiss Industrielle Messtechnik Gmbh

Stefan Saur

Christoph Hauger

Marco Wilzbach

Gerald Panitz

Christian Voigt

David Dobbelstein

Fang You

Christopher Käsbach

Christoph Schaeff

Dominik Scherer

Christian Albrecht

Holger Matz

Susanne Kohlhammer

Dominik Litsch

Patrick Hoyer

Anna Alperovich

Roland Guckler

Helge Jess

Christian Wojek

Alexander Freytag

Frank Rudolph

Martin Fanenbruck

Jonathan Essig

Markus Philipp

Andreas Raab

Steffen Urban

Carolin Schiele

Stefan Schute

Marco Witzbach

Christopher Kaesbach

Hendrik Burwinkel

Franziska Mathis-Ullrich

Adrian Samp

Zuzanna Derda

Alexander Urich

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

The invention relates to a method for controlling a microscope, wherein a voice information item is captured by means of at least one microphone, wherein, based on the captured voice information item, a command assigned to the voice information item is recognized from a plurality of commands, wherein an operational context, in which the microscope is when the voice information item is captured, is determined based on at least one context information item, wherein at least one microscope action is determined in consideration of the recognized command, and wherein at least one control command is generated to control the microscope to carry out the at least one determined microscope action, and wherein the at least one microscope action is carried out by controlling the microscope by means of the generated at least one control command, wherein the associated command is recognized in consideration of the determined operational context, and/or wherein the at least one microscope action is determined in consideration of the determined operational context. Further, the invention relates to a microscope.

Method for controlling a microscope, and microscope

The invention relates to a method and a system for determining a pose of at least one object in an operating theatre, in a reference coordinate system of a pose detection device of a surgical microscope, involving the determination of the pose of the object by way of a movably arranged microscope-external pose detection device in a first coordinate system, the first coordinate system being a coordinate system that is arranged to be stationary relative to the operating theatre, the determination of the pose of the reference coordinate system by the non-stationary microscope-external pose detection device in the first coordinate system, and the transformation of the pose of the object from the first coordinate system into the reference coordinate system of the pose detection device of the surgical microscope.

Method and system for determining a pose of at least one object in an operating theatre

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.

Method and system for optically detecting the pose of at least one instrument in an operating theater

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.

Microscopy system and method for operating the microscopy system

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.

Multi-task learning of white light photographs for a surgical microscope

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.

Machine-learning based IOL position determination

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.

Visualization system comprising an observation apparatus and an endoscope

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.

Method and device for generating a control signal, marker array and controllable 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.

Context-dependent control of a surgical microscope

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.

Eye surgery surgical system having an OCT device and computer program and computer-implemented method for continuously ascertaining a relative position of a surgery object

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.

Head-mounted visualization system

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.

Optical observation system with a contactless pointer unit, operating method and computer program product

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.

Robotic surgical system and method for configuring a surgical robot

The invention relates to a method for determining information for distinguishing between tissue fluid cells and tissue cells in a high-resolution image of a tissue area. In the method, images stored temporarily with a low resolution and a high image rate before the high-resolution image is recorded are accessed and the information for distinguishing between tissue fluid cells and tissue cells is obtained from the temporarily stored images with the low resolution and the high image rate.

Growing community of inventors

Aalen, Germany

Stefan Saur