Abstract: An automated or semi-automated process to prepare karyotypes from metaphase cell images with improved accuracy involves the use of deep convoluted neural networks for both chromosome segmentation and chromosome classification.

Abstract: The invention provides a method for automatic calibration of slides and a method for automatic calibration of slide frames and a slide for performing the method. To this end, slide frames (4; 210) with at least one slide seat and slide (212a-212h; 300) are provided with a calibration marking (304). In particular the inventive slide (212a-212h; 300) includes a slide substrate (302) and a calibration marking (304), the calibration marking (304) being connected to the slide substrate (302).

Abstract: The current invention relates to a method of identifying changes in biopolymers, especially in chromosomal DNA, using two or more different sets of labelled detector molecules, as well as to a diagnostic kit for detecting these changes.

Abstract: The present invention is relative to a method for the purposeful application of at least one reagent onto immobilized biological material as well as to a diagnostic kit containing small-area, local covers on which at least one reagent is fixed for contact hybridization.

Abstract: A method is provided for comparing the relative copy number of nucleic sequences of two or more nucleic acid sequence collectives which includes hybridizing differentially labeled i) nucleic acid sequence collectives; ii) a reference nucleic acid sequence collective; and iii) a calibration nucleic acid sequence collective. The method includes determining quotient values for the reference nucleic acid sequence and the calibration nucleic acid sequence and using correction curve calculations to determine a final relative copy number of the nucleic acid sequences of the nucleic acid sequence collective.