Carl Zeiss Industrielle Messtechnik Gmbh

Siemens Aktiengesellschaft

Carl Zeiss Industrial Metrology, LLC

Siemens Healthcare Diagnostics Gmbh

Siemens Healthcare Gmbh

Siemens Energy Global Gmbh & Co. Kg

Siemens Healthineers Ag

Sensitec Gmbh

Carl Zeiss 3d Automation Gmbh

Thomas Engel

Dominik Seitz

Nils Haverkamp

Rainer Sagemueller

Tobias Held

Marcin B Bauza

Walter Matuschek

Kurt Brenner

Christian Siegel

Walter Jenisch

Alexander Michael Gigler

Tobias Woletz

Clemens Otte

Oliver Schmidt

David R Shafer

Aksel Goehnermeier

Markus Seesselberg

Robert Kagermeier

Peter Westphal

Oliver Hayden

Johannes Winterot

Philip Mewes

Eckhard Enderle

Andreas Graichen

Elfriede Simon

Peter Mountney

Thomas Pheiffer

Matthias Goldammer

Jörg Hassel

Uwe Loreit

Norbert Kerwien

Patrick Wissmann

Artur Degen

Richard H Knebel

Josef Alois Birchbauer

Heinz Baumann

Frank Richter

Stephan Rieger

Gaby Marquardt

Peter Hoebel

Andrea Berner

Axel Reitinger

Daniela Seidel

Remigiusz Pastusiak

Steffen Kunzmann

Kalpesh Mehta

Daniel Plohmann

Claudio Laloni

Peter Nögel

Rainer Sagemüller

Evamaria Stütz

Michael Wick

Hans-Joachim Frasch

Frank Roelofs

Tobias Paust

Roland Weiβ

Gerhard Friedrich

Martin Hecht

Juergen Ussmueller

Fabian Holzwarth

Kurt Schwarzmann

Jens-Peter Brock

Stefanie Vogl

Karl Scheppperle

Gabriele Hörnig

In order to allow real-time monitoring of a tracing process during additive manufacture, a device is disclosed for the additive manufacture of a workpiece. A scanning unit () is designed to direct a fusing beam () onto a tracing spot (). The device also has a local-resolution optical detector (), a control unit () and an imaging unit (). The imaging unit () is designed to image a portion () of the tracing surface () on the detector (). The control unit () is designed to control the device in order to change the position of the portion () during manufacture.

Monitoring and process control of the additive manufacture of a workpiece

The invention relates to a method for determining a tissue type of a tissue of an animal or human individual, in which method: electromagnetic radiation () emitted by a tissue sample () of the tissue is sensed () by means of a radiation sensor (), the radiation sensor () providing a sensor signal () in accordance with the sensed electromagnetic radiation, and the sensor signal () is evaluated () by means of an evaluation unit () in order to determine and output the tissue type. The problem addressed by the invention is that of enabling improved determination of the tissue type. According to the invention, the evaluation unit () is a self-learning evaluation unit () that is initially trained () by means of training data sets () on the basis of at least one model, which is based on a method for machine learning, the training of the evaluation unit being conducted by means of such training data sets () each comprising a training sensor signal with an associated training tissue type.

Determining a tissue type of a tissue of an animal or human individual

The invention relates to a ptychographic imaging system that includes a plurality of light sources adapted to emit light onto a sample location, wherein the light sources are arranged in a predefined pattern; the system also includes a controller adapted to control operation of the plurality of light sources; wherein at least one of a) the predefined pattern of the light sources and b) the operation of the plurality of light sources is adapted to compensate for geometric effects due to an arrangement of the light sources relative to the sample location.

Ptychographic imaging system and method for generating images

A medical diagnosis assistance system, a medical diagnosis assistance method, and a training method for training an artificial intelligence entity are disclosed. The medical diagnosis assistance system includes: an input interface configured to receive medical image data of a patient; a computing device configured to implement: a classification module configured to classify parts of interest, POI, comprising objects of interest, OOI, and/or regions of interest, ROI, within the received medical image data, and to assign a corresponding reliability metric to each of the classified POI; and an analysis module configured to determine, based on the POI and the assigned reliability metric, an analysis of the medical image data; and an output interface configured to output an output signal indicating the analysis.

Medical diagnosis assistance system and method

A method of producing a workpiece includes obtaining CAD data representing the workpiece in multiple workpiece layers. The CAD data includes multiple workpiece layer definitions corresponding respectively to the workpiece layers. The method includes selecting a first workpiece layer definition, preparing a powder bed of powder material on a build platform, and producing, based on the selected workpiece layer definition, a workpiece layer on the build platform by controlling a layer tool to selectively melt or sinter the powder material on the build platform. The method includes assessing the produced workpiece layer, including measuring the produced workpiece layer using a measuring head, analyzing the measurements of the produced workpiece layer, and, in response to the analysis indicating that the produced workpiece layer is defective, reprocessing the produced workpiece layer by controlling the layer tool to selectively melt or sinter the powder material on the build platform.

Method and system for producing a workpiece using additive manufacturing techniques

A method for monitoring a power line that carries electrical current, using a mobile inspection device, the mobile inspection device has a magnetic sensor and a camera, the method includes the following steps: measuring a magnetic field generated by the current, by the magnetic sensor; and capturing an image of the power line by the camera according to the measured magnetic field. A mobile inspection device, a computer program and a machine-readable storage medium implement the method.

Method for monitoring a power line

A method for the computer-assisted configuration of a data-driven model on the basis of training data is provided. The method is characterised in that the series of measurements are subjected to a suitable preprocessing process comprising a binning step, wherein measurement characteristics which existed during the measurement of the measurement values in question are taken into consideration. A suitable data-driven model such as a neural network is then learned on the basis of the pre-processed series of measurements. This learned data-driven model makes it possible to accurately forecast target vectors in accordance with associated series of measurements. The method can, for example, be used to analyse optical spectra. More particularly, it is possible to predict using the learned model whether the tissue sample for which an optical spectrum was detected represents diseased tissue.

Method for the computer-aided configuration of a data-driven model on the basis of training data

Various embodiments include a method for processing a data set comprising: obtaining a measurement dataset; applying a preprocessing algorithm to the measurement dataset to obtain a preprocessed measurement dataset; applying a classification algorithm to the preprocessed measurement dataset to classify a feature represented by the measurement dataset; determining a quality of the classification of the feature; and adjusting the preprocessing algorithm based on the determined quality. Adjusting the preprocessing algorithm comprises applying a selection algorithm. The selection algorithm describes the change in a value of a parameter of the preprocessing algorithm depending on the determined quality. The preprocessing algorithm comprises at least one of the following operations applied to the measurement dataset: binning; differentiation; integration; and forming tuples having a predetermined relationship from the measurement dataset.

Preprocessing for a classification algorithm

The invention relates to a device, such as a digital holographic microscope, for detecting and processing a first full image of a measurement object, measured with a first offset, wherein an arrangement is provided for generating at least one further full image with at least one offset that differs from the first offset.

Multiple offset interferometer

A method of producing a workpiece by using additive manufacturing techniques includes obtaining CAD data representing the workpiece with workpiece layer definitions defining workpiece layers. The method includes selecting a first workpiece layer definition. The method includes preparing a powder bed of powder material on a build platform. The method includes measuring individual characteristics of the powder material on the build platform using a measuring head. The method includes producing, based on the selected workpiece layer definition, a workpiece layer on the build platform. The producing includes controlling a layer tool to selectively melt or sinter the powder material on the build platform. The producing is further based on the measured individual characteristics of the powder material to correct for detected flaws in the powder bed. The method includes selecting each one of the workpiece layer definitions and repeating the preparing, the measuring, and the producing for the selected definition.

Method and arrangement for producing a workpiece by using additive manufacturing techniques

An optical microscopy device for detecting cellular components of a sample, includes: a light source apparatus for emitting a light beam; a specimen carrier, which can be positioned in the beam path of the light beam, for receiving the sample; an objective lens which is provided downstream of the specimen carrier in the beam path of the light beam; and a camera chip which has pixels of a predefined pixel size, the camera chip being designed to detect the light beam after it passes through the objective lens and being designed to generate a camera image, a field number in the intermediate image downstream of the objective lens being greater than 25 millimeters.

Microscopy device

A coordinate measuring apparatus is provided having at least one measuring system and at least one support structure on which the measuring system is disposed, wherein the measuring system is displaceably mounted in the support structure and/or the support structure is displaceably mounted, and wherein the coordinate measuring apparatus includes an air bearing arrangement for mounting two components to be movable relative to one another. The air bearing arrangement includes at least one air bearing which provides a compressed air cushion between the components, wherein the air bearing has at least one compressed air supply line by way of which the compressed air can be provided, wherein a flow rate meter by way of which the flow rate of compressed air to the air bearing can be detected is provided in the compressed air supply line.

Coordinate measuring apparatus with air bearing monitoring and adjusting capability

A measuring arrangement is calibrated for determining rotational positions of a rotary device that has a first part and a second part which can be rotated relative to the first part about a rotational axis. Rotational positions of the first part relative to the second part and/or rotational positions of the second part relative to the first part are detected using a plurality of sensors distributed about the rotational axis. A respective measurement signal corresponding to each detected rotational position is generated such that redundant information on the rotational positions of the first part and the second part relative to each other is provided. The redundant information on the rotational position(s) are analyzed such that effects of a translational movement of the first and the second part relative to each other are corrected, the translational movement running transverse to the extension of the rotational axis.

Calibrating and operating rotary devices, in particular for rotating probe heads and/or probes of coordinate measuring machines

A method of producing a workpiece by using additive manufacturing techniques includes obtaining computer-aided design data representing the workpiece in multiple layers. The method includes providing build platforms and layer tools. Each layer tool is moveable relative to a respective build platform and configured to generate or solidify a material layer on the respective build platform. The method includes producing a first defined material layer of the workpiece on a first build platform by controlling a first layer tool according to a first layer definition. The method includes transferring the first defined material layer from the first build platform to a second build platform and measuring the first defined material layer using a first measuring head to measure individual characteristics. The method includes producing further material layers of the workpiece by controlling a second layer tool in accordance with further layer definitions as a function of the measured individual characteristics.

In order to improve depth perception for an image displayed during a laparoscopic surgery, a representation of a shadow of a tool included in the image and used in the laparoscopic surgery is identified and introduced into the image. A processor augments a three-dimensional (3D) model including a 3D representation of a surface of an object included in the image, and a representation of the tool by introducing a virtual light source into the 3D model to generate a virtual shadow within the 3D model. The processor subtracts the representation of the shadow out of the augmented 3D model and superimposes the representation of the shadow on the image to be displayed during the laparoscopic surgery.

Virtual shadows for enhanced depth perception

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Aalen, Germany

Thomas Engel