Abstract: Methods for determination of a position of a feature of an object positioned in a field of view of the camera extending from the camera in a z-direction, wherein the camera comprises a DVS camera with a sensor chip having a plurality of sensor elements and generates for each respective sensor element imaging data including an event signal from a group of event signal types in case a light flux onto the respective sensor element changes by more than a given threshold. An example includes: scanning the field of view while varying a focal length of an optics section of the DVS camera according to a predefined pattern in time; and evaluating resulting imaging data, wherein any one or more imaging data generated by the DVS camera during the focal length variation are evaluated to determine at least a z-position of the feature in the z-direction.

Abstract: The present invention relates to a method, in which the position and orientation of a test bench assembly (1) is determined in a current position. The test bench assembly (1) interacts with the vehicle assembly in the vehicle test bench. In order to be able to calibrate the vehicle assembly, the position and orientation of the test bench assembly (1) must be known. The position of the test bench assembly (1) in the vehicle test bench can be altered. This can result in a torque occurring when the test bench assembly (1) is offset to the side, which leads to an inclination of the support (2) of the test bench assembly (1). This inclination of the support (2) should be taken into account and, if necessary, compensated for, when determining the position and orientation of the test bench assembly (1). The invention also relates to a vehicle test bench for carrying out such a method.

Abstract: An automatic analyzer for optically analyzing a biological sample comprises a flow-cell with a first inlet port for introducing the sample into the flow-cell or means for applying the sample onto a specimen holder. Further, the analyzer comprises a Fourier Ptychography Microscope (FPM) for optically analyzing the sample in the flow-cell or the sample on the specimen holder by obtaining multiwavelength FPM data, and a control module comprising computer means which are configured for identifying regions of interest based at least on part of the FPM data by employing an artificial intelligence algorithm and to reconstruct an amplitude and/or phase image of the sample only in the regions of interest based on the FPM data for the regions of interest to minimize the computational time required for the FPM reconstruction process.

Abstract: Method for the detection of a diagnostically usable red blood cell (RBC) monolayer region in a blood smear preparation or a subsection of the blood smear preparation. The method comprising determining the area coverage of RBCs in the blood smear preparation; determining the hemoglobin distribution; determining the presence of non-RBC cells and/or abnormal RBCs; and assigning a diagnostic usability label to the blood smear preparation or a subsection of the blood smear preparation.

Abstract: The invention relates to a method for fixing a thin-film material to a flat surface of a slide for a microscopy apparatus, by means of a liquid. The method comprises: applying a quantity of liquid to the flat surface of the slide; applying the thin-film material to the surface of the slide, which is wetted at least in part, preferably completely with liquid; applying a sample to be microscopically examined to the surface of the thin-film material which faces away from the surface of the slide wetted with liquid; wherein the surface of the thin-film material facing away from the surface of the slide wetted with liquid is hydrophilic.

Abstract: In some embodiments, a method of classifying components of a blood sample is provided that includes digitally staining an image of a blood sample using a trained machine-learning model so as to generate a digitally-stained image; extracting one or more intermediate features generated by the trained machine-learning model during digital staining of the image; providing the one or more extracted intermediate features to a trained multi-class classifier; and employing the trained multi-class classifier to classify at least one component within the blood sample based on the one or more extracted intermediate features. Numerous other embodiments are provided.

Abstract: The disclosed computer-implemented method includes determining that a data structure stored in memory is to be shared among other concurrently running application processes managed by an application engine. The method also includes identifying, within the application engine, contextual information specifying details regarding different functions that are operating among the concurrently running application processes. Still further, the method includes determining which data structures are currently shareable between a first application process and a second application process based on the identified contextual information within the application engine and sharing the data structures of the first application process to at least the second application process. Various other methods, systems, and computer-readable media are also disclosed.

Abstract: In various embodiments, the disclosed techniques allow for client-side upscaling of streamed video games. For example, a server executes a video game and renders frames thereof using a graphics processing unit (GPU) of the server. The frames are rendered at a low resolution. The server extracts layers of information needed to upscale the rendered frames from one or more buffers in the GPU. The layers of information can include color data, depth data, motion vector data, state data, and one or more sharpening factors. The server encodes the rendered frames and the layers of information. The server streams, over a network, the encoded frame data and the encoded layers of information to a user device. The user device can decode and upscale the frame using the layers of information, and then display the upscaled frame. The upscaled frame is of a higher resolution than the rendered frame.

Abstract: The invention relates to a vehicle test stand (1) with wheel receiving areas (201, 202, 203, 204; 301; 501) for the wheels of a vehicle to be tested. Each of the wheel receiving areas (201, 202, 203, 204; 301; 501) has a respective support device (306; 502) attached to one or two respective rollers (302, 303) on which the wheels of the vehicle to be tested stand. At least one of the rollers (303) of one wheel receiving area (201, 202, 203, 204; 301; 502) is paired with a drive and/or loading unit (209, 210, 211, 212; 305; 505, 506). In a first operating state of the wheel receiving areas (201, 202, 203, 204; 301; 501), each support device (306, 502) is rotatably mounted about a vertical axis. In the first operating state of the wheel receiving areas (201, 202, 203, 204; 301; 501), the support device (306; 502) is supported so as to freely rotate such that the support device (306; 502) can be rotated as a result of forces transmitted from the vehicle wheels standing on the rollers to the rollers (302, 303).

Abstract: The invention relates to a calibration target for a Fourier ptychographic imaging system, comprising at least a first plane and a second plane, wherein the first plane and the second plane are parallel to each other and comprise a predefined distance between each other, wherein the first plane comprises a first calibration structure and the second plane comprises a second calibration structure, wherein the first calibration structure is configured to be suitable for centering itself in relation to an optical component and/or a camera of the Fourier ptychographic imaging system, and wherein the second calibration structure is configured to be suitable for determining, directly or in projection onto the first plane, a position of at least one characteristic or predetermined feature of the first calibration structure.

Abstract: A method for digitally staining a cell and/or a medical preparation cell comprises: determining three-dimensional information of a cell and/or of a medical preparation using an analyzer for analyzing a medical sample, the analyzer comprising an apparatus for determining the three-dimensional information of the cell and/or of the medical preparation; digitally staining the cell and/or the medical preparation according to a predetermined correlation between the three-dimensional information of the cell and/or of the medical preparation and the staining of a corresponding cell and/or medical preparation and/or cellular and/or sub-cellular structures of the cell and/or of the medical preparation using a staining protocol; representing the digitally stained cell and/or the preparation, the representation involving a predetermined defocus region, and regions of the cell and/or of the preparation being represented by different digital staining in the area of the defocus region as corresponding modulations of color i

Abstract: The invention relates to a training system and a training method for training an artificial neural network, in particular for medical applications, with patient-specific features.

Abstract: The disclosure relates to an automatic analyzer for optically analyzing a biological sample, the analyzer comprising a flow-cell with a first inlet port for introducing the sample into the flow-cell or means for applying the sample onto a specimen holder.

Abstract: Various embodiments of the teachings herein include a method for the Fourier ptychographic generation of an image of an object by means of a color-corrected optical unit. An example includes: illuminating the object with a multiplicity of illumination elements arranged in distributed fashion at a corresponding multiplicity of locations in space; detecting a plurality of spatial frequency patterns resulting from illuminating the object in each case with an individual illumination element or a plurality of illumination elements from the multiplicity of illumination elements; centering each spatial frequency pattern at a position in the Fourier space corresponding to a nominal spatial frequency of the respective illumination element or of the respective illumination elements; and reconstructing the image using a totality of all the respectively centered spatial frequency patterns.

Abstract: An array of light sources for a Fourier ptychographic imaging system includes at least two adjacent light sources which preferably differ from each other in a property of light beams emitted from them and are configured to illuminate a sample at different angles of incidence for reconstructing a single image of the sample using Fourier ptychography, wherein the property of light beams of each light source is configured to match the sample for increasing a contrast and/or a color or material information content in the reconstructed single image of the sample. In embodiments, one or more light sources is a UV light source. In embodiments, the sample is a biological sample. In embodiments, the FPM (Fourier Ptychography Microscopy) includes UV transparent components and/or materials such as quartz.

Abstract: 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 (2) is designed to direct a fusing beam (3) onto a tracing spot (4). The device also has a local-resolution optical detector (5), a control unit (6) and an imaging unit (7). The imaging unit (7) is designed to image a portion (8) of the tracing surface (1) on the detector (5). The control unit (6) is designed to control the device in order to change the position of the portion (8) during manufacture.

Abstract: 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 (26) emitted by a tissue sample (24) of the tissue is sensed (10) by means of a radiation sensor (22), the radiation sensor (22) providing a sensor signal (28) in accordance with the sensed electromagnetic radiation, and the sensor signal (28) is evaluated (12) by means of an evaluation unit (30) 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 (30) is a self-learning evaluation unit (30) that is initially trained (14) by means of training data sets (32) 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 (32) each comprising a training sensor signal with an associated training tissue type.

Abstract: 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.

Abstract: The invention relates to a calibration target for a Fourier ptychographic imaging system, comprising at least a first plane and a second plane, wherein the first plane and the second plane are parallel to each other and comprise a predefined distance between each other, wherein the first plane comprises a first calibration structure and the second plane comprises a second calibration structure, wherein the first calibration structure is configured to be suitable for centering itself in relation to an optical component and/or a camera of the Fourier ptychographic imaging system, and wherein the second calibration structure is configured to be suitable for determining, directly or in projection onto the first plane, a position of at least one characteristic or predetermined feature of the first calibration structure.

Abstract: 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.