Abstract: The present application relates to a method for the cytometric analysis of multiple cell samples by a microscope for examining multiple cell samples under a microscope, wherein the microscope can be or is operated, selectively and/or alternatingly, in a transmission mode and/or in a fluorescence mode, and wherein at least one cell sample has at least one fluorescence marker. The method includes; moving the cell samples continuously in one plane relative to an optical system of the microscope having at least one microscope camera, wherein, during the movement of the cell samples, at least one or more images of a sub-region of the cell samples are recorded in the transmission mode or in the fluorescence mode and at least one or more images of the same sub-region of the cell samples are recorded in the fluorescence mode by at least one microscope camera.

Abstract: The present application relates to a method for the cytometric analysis of multiple cell samples by a microscope for examining multiple cell samples under a microscope, wherein the microscope can be or is operated, selectively and/or alternatingly, in a transmission mode and/or in a fluorescence mode, and wherein at least one cell sample has at least one fluorescence marker. The method includes; moving the cell samples continuously in one plane relative to an optical system of the microscope having at least one microscope camera, wherein, during the movement of the cell samples, at least one or more images of a sub-region of the cell samples are recorded in the transmission mode or in the fluorescence mode and at least one or more images of the same sub-region of the cell samples are recorded in the fluorescence mode by at least one microscope camera.

Abstract: Among the proposals provided is a method for the analysis and classification of objects of interest, for example biological or biochemical objects, on the basis of time-lapse images, for example for use in time-lapse analysis in image-base cytometry. Images of the objects of interest, for example cells, are recorded at different moments in time and these images are subjected to a segmentation process to identify image elements as object representations or sub-object representations of objects or sub-objects of interest of objects of interest. Identified object representations or sub-object representations are then associated with one another in images of the time series and are identified as representations of the same object or sub-object or as the result of an object or sub-object. First features manifesting themselves in individual images are detected and second features manifesting themselves in a plurality of images recorded at different times are detected.