Carl Zeiss Meditec Ag

Hessam Roodaki

Abouzar Eslami

Mhd Hasan Sarhan

A surgical microscope and method, including: capturing a left-side image of a capturing region by a left-side camera and a right-side image of the capturing area by a right-side camera; supplying the captured images to at least one trained machine learning method and/or computer vision evaluation method of a control device of the surgical microscope; and identifying a target object on the basis of the captured images by the at least one trained machine learning method and/or computer vision evaluation method, and optimal microscope parameters and/or a change thereof and/or control commands for an actuator system of the surgical microscope are estimated, control commands for the actuator system of the surgical microscope being generated based on the estimated optimal microscope parameters and/or the estimated change in the microscope parameters, and/or the actuator system being controlled corresponding to the generated and/or estimated control commands.

Method for operating a surgical microscope, and surgical microscope

The invention relates to a treatment apparatus having a modular intraocular lens, which comprises a first part having a haptic and a marking, visible in optical coherence tomography, with known dimensions of said marking and a second part having an optics body and which has a convergence state, in which the second part is in contact with the first part, and a spaced-apart state, in which the second part is spaced apart from the first part, having an optical coherence tomography device, which is configured to record, by means of optical coherence tomography, an OCT cross-sectional image which shows the first part arranged in a capsular bag of an eye and which shows dimensions of the marking in the OCT cross-sectional image, and having an evaluation unit which is configured to create a corrected OCT cross-sectional image by transforming coordinates of the OCT cross-sectional image in such a way that dimensions of the marking in the corrected OCT cross-sectional image are closer to the known dimensions of the marking than the dimensions of the marking in the OCT cross-sectional image.

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Oberkochen, Germany

Hessam Roodaki