A method for identifying a region of interest in an image of a biological cell, the method comprising: detecting a primary axis corresponding to a long axis of the nucleus of the biological cell by automatically determining sections of the image by merging image data representing chromatids and identifying centers (C1, C2) of those sections using a pattern recognition algorithm and fitting the long axis through the centers (C1, C2); defining a first section line along the detected long axis; detecting two secondary axes of the nucleus; wherein the detecting includes: defining two short axes of the nucleus as the two secondary axes perpendicular to the long axis, while each of the short axes run through one of the centers (C1, C2) of the automatically determined sections of the image, respectively, and defining a quadrilateral extending between the two secondary axes as a masking bar and by connecting the short axes virtually by connecting lines outside the extent of the imaged cell; defining a second section line along each of the secondary axes; using the second section line along each of the secondary axes and the first section line along the detected primary axis, dividing a cytoplasm of the cell into a plurality of areas; determining a geometric feature of each of the areas; selecting one of the areas according to predefined criteria; analyzing image data of the selected area and comparing the image data with the predefined criteria to identify regions that comply with the provided criteria; and selecting at least one area complying with the predefined criteria to a pre-defined degree as the region of interest. detecting a primary axis corresponding to a long axis of the nucleus of the biological cell by automatically determining sections of the image by merging image data representing chromatids and identifying centers (C1, C2) of those sections using a pattern recognition algorithm and fitting the long axis through the centers (C1, C2); defining a first section line along the detected long axis; detecting two secondary axes of the nucleus; wherein the detecting includes: defining two short axes of the nucleus as the two secondary axes perpendicular to the long axis, while each of the short axes run through one of the centers (C1, C2) of the automatically determined sections of the image, respectively, and defining a quadrilateral extending between the two secondary axes as a masking bar and by connecting the short axes virtually by connecting lines outside the extent of the imaged cell; defining a second section line along each of the secondary axes; using the second section line along each of the secondary axes and the first section line along the detected primary axis, dividing a cytoplasm of the cell into a plurality of areas; determining a geometric feature of each of the areas; selecting one of the areas according to predefined criteria; analyzing image data of the selected area and comparing the image data with the predefined criteria to identify regions that comply with the provided criteria; and selecting at least one area complying with the predefined criteria to a pre-defined degree as the region of interest. defining two short axes of the nucleus as the two secondary axes perpendicular to the long axis, while each of the short axes run through one of the centers (C1, C2) of the automatically determined sections of the image, respectively, and defining a quadrilateral extending between the two secondary axes as a masking bar and by connecting the short axes virtually by connecting lines outside the extent of the imaged cell; defining a second section line along each of the secondary axes; using the second section line along each of the secondary axes and the first section line along the detected primary axis, dividing a cytoplasm of the cell into a plurality of areas; determining a geometric feature of each of the areas; selecting one of the areas according to predefined criteria; analyzing image data of the selected area and comparing the image data with the predefined criteria to identify regions that comply with the provided criteria; and selecting at least one area complying with the predefined criteria to a pre-defined degree as the region of interest.