Method for detecting respective potential presences of respective different cellular fluorescence pattern types on a biological cellular substrate comprising human epithelioma cells, wherein the cellular fluorescence pattern types comprise a plurality of different antinuclear antibody fluorescence pattern types, the method comprising - incubating the cellular substrate with a liquid patient sample which potentially comprises primary antibodies and, furthermore, with secondary antibodies which have been labelled with a fluorescent dye, - acquiring a total image which represents staining of the cellular substrate due to the fluorescent dye, characterized by - determining a segmented image by means of segmentation of the total image, - detecting in the segmented image respective image segments wherein a respective image segment represents a respective metaphase plate of a mitosis cell in a metaphase stage, - selecting sub-images of the total image which each comprise at least one mitotic cell and selecting corresponding sub-images of the segmented image on the basis of the detected image segments and - detecting respective actual presences of the respective cellular fluorescence pattern types by means of a convolutional neural network on the basis of the selected sub-images of the total image and the selected sub-images of the segmented image, wherein the convolutional neural network processes, in each case, a tuple of sub-images at the same time, which comprises at least one selected sub-image of the total image and a corresponding selected sub-image of the segmented image. wherein the cellular fluorescence pattern types comprise a plurality of different antinuclear antibody fluorescence pattern types, the method comprising - incubating the cellular substrate with a liquid patient sample which potentially comprises primary antibodies and, furthermore, with secondary antibodies which have been labelled with a fluorescent dye, - acquiring a total image which represents staining of the cellular substrate due to the fluorescent dye, - incubating the cellular substrate with a liquid patient sample which potentially comprises primary antibodies and, furthermore, with secondary antibodies which have been labelled with a fluorescent dye, - acquiring a total image which represents staining of the cellular substrate due to the fluorescent dye, characterized by - determining a segmented image by means of segmentation of the total image, - detecting in the segmented image respective image segments wherein a respective image segment represents a respective metaphase plate of a mitosis cell in a metaphase stage, - selecting sub-images of the total image which each comprise at least one mitotic cell and selecting corresponding sub-images of the segmented image on the basis of the detected image segments and - detecting respective actual presences of the respective cellular fluorescence pattern types by means of a convolutional neural network on the basis of the selected sub-images of the total image and the selected sub-images of the segmented image, - determining a segmented image by means of segmentation of the total image, - detecting in the segmented image respective image segments wherein a respective image segment represents a respective metaphase plate of a mitosis cell in a metaphase stage, - selecting sub-images of the total image which each comprise at least one mitotic cell and selecting corresponding sub-images of the segmented image on the basis of the detected image segments and - detecting respective actual presences of the respective cellular fluorescence pattern types by means of a convolutional neural network on the basis of the selected sub-images of the total image and the selected sub-images of the segmented image, wherein the convolutional neural network processes, in each case, a tuple of sub-images at the same time, which comprises at least one selected sub-image of the total image and a corresponding selected sub-image of the segmented image.