Abstract: A method for authenticating image data and/or metadata of the image data involves receiving the image data and/or the metadata and an encrypted first hash value of the image data and/or the metadata (20). The metadata includes information about the image data. The method also involves decrypting the first hash value with a public key. The public key corresponds to a private key with which the first hash value is encrypted. The method also involves generating a second hash value of the image data and/or the metadata, comparing the decrypted first hash value with the second hash value, and generating a positive image authenticating signal if the first hash value matches the second hash value or a negative image authenticating signal if the first hash value does not match the second hash value.

Abstract: A microlithographic projection exposure apparatus comprises a projection lens having a plurality of optical elements for imaging mask structures and a plurality of manipulators, each of which is assigned to one of the optical elements and configured to change an optical effect of the assigned optical element by manipulating a property of the optical element along a travel. Furthermore, the projection exposure apparatus comprises a manipulator controller which comprises an algorithm for ascertaining a travel command with travel specifications for the manipulators for correcting a wavefront deviation of the projection lens. The algorithm is configured to ascertain an associated wavefront change of the projection lens from a travel vector with a set of manipulator travels using a neural network and to determine the travel command using an ascertainment result of the neural network from the wavefront deviation.

Abstract: In a method to obtain information to control a manufacturing process for a stacked semiconductor device including several semiconductor layers requiring electrically interconnection, sample data of a semiconductor device sample to be inspected are provided. An X-ray imaging scan of the sample obtaining respective X-ray imaging data is performed. Sample detail information of sample details of the sample are gathered from the X-ray imaging data which are vital for the manufacturing process. Multiple Regions of Interest (ROIs) are identified from the gathered sample detail information by processing data resulting from an ROI identification model, such ROI identification model being previously trained in a machine learning process. Metrology data are extracted from the identified ROIs by processing data resulting from a metrology model, such metrology model being previously trained in a machine learning process.

Abstract: A device and an according method for multispectral optoacoustic imaging of an object is provided comprising: an irradiation unit configured to irradiate the object with electromagnetic radiation at two or more different irradiation wavelengths the electromagnetic radiation having a time-varying intensity; a detection unit configured to detect acoustic waves generated in the object upon irradiating the object with the electromagnetic radiation at the different irradiation wavelengths; and a processing unit configured to reconstruct images of the object based on the detected acoustic waves generated in the object at each of the irradiation wavelengths and to determine a spatial distribution of at least one first concentration value, which relates to a concentration of at least one electromagnetic radiation absorber in the object.

Abstract: A method and system for device detection in a 2D medical image. In order to account for shape variation of a 3D object in a 2D imaging plane, a hierarchical tree-structured array of trained classifiers is used to detect a 3D object, such as a pigtail catheter in a 2D medical image, such as a fluoroscopic image. The hierarchical tree-structured array of trained classifiers increases a dimensionality of the search space with each hierarchical level, and as the search space is increased, the classification is split into object sub-classes using trained classifiers independently trained for each sub-class.

Abstract: The invention relates to a device and an according method for multispectral optoacoustic imaging of an object, the device comprising: an irradiation unit configured to irradiate the object with electromagnetic radiation at two or more different irradiation wavelengths (?), said electromagnetic radiation having a time-varying intensity; a detection unit configured to detect acoustic waves generated in the object upon irradiating the object with the electromagnetic radiation at the different irradiation wavelengths (?); and a processing unit configured to reconstruct images of the object based on the detected acoustic waves generated in the object at each of the irradiation wavelengths (?) and to determine a spatial distribution of at least one first concentration value, which relates to a concentration of at least one electromagnetic radiation absorber in the object, wherein the determination of the spatial distribution of the at least one first concentration value is based on the reconstructed images at the d

Abstract: A method and system for device detection in a 2D medical image is disclosed. In order to account for shape variation of a 3D object in a 2D imaging plane, a hierarchical tree-structured array of trained classifiers is used to detect a 3D object, such as a pigtail catheter in a 2D medical image, such as a fluoroscopic image. The hierarchical tree-structured array of trained classifiers increases a dimensionality of the search space with each hierarchical level, and as the search space is increased, the classification is split into object sub-classes using trained classifiers independently trained for each sub-class.