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.