Abstract: The invention relates to a method for digitally staining a cell and/or a medical preparation, the method comprising the following steps: determining three-dimensional information of a cell and/or of a medical preparation by means of an analyser for analysing a medical sample, the analyser 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 by means of 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 means of different digital staining

Abstract: The invention relates to a medical diagnosis assistance system, a medical diagnosis assistance method, and a training method for training an artificial intelligence entity. The medical diagnosis assistance system (100) comprises: an input interface (110) configured to receive medical image data (1) of a patient; a computing device (150) configured to implement: a classification module (151) configured to classify parts of interest, POI (10, 11, 12, 13, 14, 15, 20, 30), comprising objects of interest, OOI, and/or regions of interest, ROI, within the received medical image data (1), and to assign a corresponding reliability metric to each of the classified POI (10, 11, 12, 13, 14, 15, 20, 30); an analysis module (152) configured to determine, based on the POI (10, 11, 12, 13, 14, 15, 20, 30) and the assigned reliability metric, an analysis of the medical image data (1); and an output interface (190) configured to output an output signal (71) indicating the analysis.

Abstract: A computer-implemented method and a data processing apparatus provide and apply a trained probabilistic graphical model for verifying and/or improving the consistency of labels within the scope of medical image processing. Also provided are a computer-implemented method for verifying and/or improving the consistency of labels within the scope of medical imaging processing, a data processing apparatus embodied to verify and/or improve the consistency of labels within the scope of medical image processing, and a corresponding computer program product and a computer-readable medium.

Abstract: The aim of the invention is to configure an image analysis device (BA). This is achieved in that a plurality of training images (TPIC) assigned to an object type (OT) and an object sub-type (OST) are fed into a first neural network module (CNN) in Order to detect image features. Furthermore, training output data sets (FEA) of the first neural network module (CNN) are fed into a second neural network module (MLP) in Order to detect object types using image features. According to the invention, the first and second neural network module (CNN, MLP) are trained together such that training output data sets (OOT) of the second neural network module (MLP) at least approximately reproduce the object types (OT) assigned to the training images (TPIC).

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: The present invention relates to a method of detecting a possible infection of malaria in a patient using a digital optical microscope.

Abstract: The invention relates to an analyzer for analyzing a medical sample. The analyzer comprises an optical microscope for imaging a light field in an object region in order to image the sample. The microscope comprises a light source for illuminating the sample, an objective comprising a converging lens for concentrating and focusing light beams coming from the illuminated sample, and a digital recording device for recording the light beams. A light-field camera for capturing the light field from the object region, which light field is imaged in the microscope, is provided on the microscope.

Abstract: To train a machine learning routine (BNN), a sequence of first training data (PIC) is read in through the machine learning routine. The machine learning routine is trained using the first training data, wherein a plurality of learning parameters (LP) of the machine learning routine is set by the training. Furthermore, a value distribution (VLP) of the learning parameters, which occurs during the training, is determined and a continuation signal (CN) is generated on the basis of the determined value distribution of the learning parameters. Depending on the continuation signal, the training is then continued with a further sequence of the first training data or other training data (PIC2) are requested for the training.

Abstract: The present invention relates to an improved method for marker-free detection of a cell type of at least one cell in a medium using microfluidics and digital holographic microscopy, as well as a device, particular for carrying out the method.

Abstract: The present invention relates to a computer-implemented method and a data processing apparatus for providing and applying a trained probabilistic graphical model for verifying and/or improving the consistency of labels within the scope of medical image processing, the use of the model for verifying and/or improving the consistency of labels within the scope of medical image processing, a computer-implemented method for verifying and/or improving the consistency of labels within the scope of medical imaging processing, a data processing apparatus embodied to verify and/or improve the consistency of labels within the scope of medical image processing, and a corresponding computer program product and a computer-readable medium.

Abstract: The present invention relates to a method of detecting a possible infection of malaria in a patient using a digital optical microscope

Abstract: The present invention relates to an improved method for marker-free detection of a cell type of at least one cell in a medium using microfluidics and digital holographic microscopy, as well as a device, particular for carrying out the method.