A medical image analysis method for identifying biomarker-positive tumor cells, the method comprising: - reading a first digital image and a second digital image into memory, the first and second digital image depicting the same area of a first slide; ▪ the first slide comprising multiple tumor cells having being stained with a first stain and with a second stain; ▪ the first stain selectively staining nuclei; ▪ the second stain selectively staining a particular biomarker, the presence and/or amount of the biomarker in a tumor cell being indicative of a tumor cell belonging to a particular cancer-subtype; ▪ the light intensity values of the first digital image correlating with the amount of the first stain in the tumor cells; ▪ the light intensity values of the second digital image correlating with the amount of the second stain in the tumor cells; - identifying a plurality of nuclei and positional information of said nuclei by analyzing the light intensities in the first digital image; - identifying cell membranes which comprise the biomarker by analyzing the light intensities in the second digital image and by analyzing the positional information of the identified nuclei; - identifying biomarker-positive tumor cells in said area, wherein a biomarker-positive tumor cell is a combination of one identified nucleus and one identified cell membrane that surrounds the identified nucleus; characterised by: - reading a further digital image of a second slide into memory, ▪ the first slide comprising tumor cells contained in a first tissue section of a tumor tissue, ▪ the tumor cells of the second slide being contained in a second tissue section of said tumor tissue, ▪ the first and the second tissue sections being adjacent serial tissue sections, ▪ the further digital image comprising medical annotations; - automatically comparing optical features of the further digital image with optical features of the first or second digital image for automatically mapping the further digital image to the first and/or second digital image; and - automatically transferring the annotations of the further digital image to corresponding regions in the mapped first and/or second digital image. - reading a first digital image and a second digital image into memory, the first and second digital image depicting the same area of a first slide; ▪ the first slide comprising multiple tumor cells having being stained with a first stain and with a second stain; ▪ the first stain selectively staining nuclei; ▪ the second stain selectively staining a particular biomarker, the presence and/or amount of the biomarker in a tumor cell being indicative of a tumor cell belonging to a particular cancer-subtype; ▪ the light intensity values of the first digital image correlating with the amount of the first stain in the tumor cells; ▪ the light intensity values of the second digital image correlating with the amount of the second stain in the tumor cells; ▪ the first slide comprising multiple tumor cells having being stained with a first stain and with a second stain; ▪ the first stain selectively staining nuclei; ▪ the second stain selectively staining a particular biomarker, the presence and/or amount of the biomarker in a tumor cell being indicative of a tumor cell belonging to a particular cancer-subtype; ▪ the light intensity values of the first digital image correlating with the amount of the first stain in the tumor cells; ▪ the light intensity values of the second digital image correlating with the amount of the second stain in the tumor cells; - identifying a plurality of nuclei and positional information of said nuclei by analyzing the light intensities in the first digital image; - identifying cell membranes which comprise the biomarker by analyzing the light intensities in the second digital image and by analyzing the positional information of the identified nuclei; - identifying biomarker-positive tumor cells in said area, wherein a biomarker-positive tumor cell is a combination of one identified nucleus and one identified cell membrane that surrounds the identified nucleus; - reading a further digital image of a second slide into memory, ▪ the first slide comprising tumor cells contained in a first tissue section of a tumor tissue, ▪ the tumor cells of the second slide being contained in a second tissue section of said tumor tissue, ▪ the first and the second tissue sections being adjacent serial tissue sections, ▪ the further digital image comprising medical annotations; ▪ the first slide comprising tumor cells contained in a first tissue section of a tumor tissue, ▪ the tumor cells of the second slide being contained in a second tissue section of said tumor tissue, ▪ the first and the second tissue sections being adjacent serial tissue sections, ▪ the further digital image comprising medical annotations; - automatically comparing optical features of the further digital image with optical features of the first or second digital image for automatically mapping the further digital image to the first and/or second digital image; and - automatically transferring the annotations of the further digital image to corresponding regions in the mapped first and/or second digital image.